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Ground-based radar can obtain high-precision radial velocity measurements through coherent integration Doppler processing, providing an important data source for geostationary orbit (GEO) satellite maneuver detection. An orbital maneuver causes a persistent mean shift in radial velocity residuals, whereas attitude motion or tumbling due to malfunction induces velocity scintillation, which manifests as a sudden variance amplification. Since both anomalies cause velocity residuals to deviate significantly from normal levels, a single detection model can easily misclassify one as the other. To address this problem, a maneuver detection method is proposed that combines precise orbit determination with a dual-model parallel Generalized Likelihood Ratio Test (GLRT). A high-accuracy initial state is first obtained through the Gibbs method and weighted least squares. Two detection models are then constructed based on distinct residual characteristics: mean shift for maneuver detection and variance amplification for scintillation detection. An ε-contaminated Gaussian mixture GLRT detector is introduced to suppress the influence of outliers. Combined with Monte Carlo threshold calibration and a maneuver-priority competitive decision strategy, the method effectively distinguishes between the two anomaly types. Simulation results demonstrate that under strict false alarm constraints, the detection probability for both maneuvers and velocity scintillation exceeds 0.9, effectively eliminating mutual misclassification. The method achieves stable detection of weak maneuvers lasting tens of seconds with radial velocity increments of approximately 0.03 m/s, demonstrating strong engineering application potential.
Chen, Xiaoyi, Tang, Fujie, Zhang, Xianbo, Cong, Yang, Gao, Kaili, Chen, Defeng
In order to support successful tracking and monitoring tasks in different environments, drones need to quickly and accurately identify targets. This paper studies a drone combat target positioning method, with a focus on the BeiDou satellite navigation system and its performance under different environmental conditions. A complete system has been designed, including flight control system, environmental sensors, data transmission and processing system, aiming to achieve precise positioning and target tracking of unmanned aerial vehicles. This paper uses on-site testing to explain the coverage range and stability positioning accuracy of ranging signals in different environments. Experimental data shows that the BDS system has good positioning error performance for unmanned aerial vehicles, with an average error of 46.52 cm. BDS positioning time is usually short, with a maximum positioning time of 780ms and a minimum positioning time of 224ms. However, the BDS system still needs improvement in terms of dynamic environmental adaptability, multi-target tracking, anti-interference ability, and adaptability to harsh environmental conditions. Future work will focus on algorithm optimization, hardware technology improvement, and data security to enhance system performance.
Tao, Zhiping, Zhang, Chenghao, Hou, Bo, Song, Juan, Yuan, Peng, Liu, Xianyang
Currently, UAVs are increasingly used in remote sensing monitoring, logistics and distribution, emergency rescue and recreational aerial photography, etc., which puts higher requirements on wireless networks, i.e., how to allocate limited wireless resources in real-time, efficiently and fairly to ensure that a large number of UAVs can work together in complex environments and maintain high-quality communication services. This paper investigates an optimisation method for UAV scheduling based on the BeiDou satellite navigation system, which improves the accuracy and efficiency of UAV mission execution by utilising the high-precision positioning and time synchronisation services provided by the BeiDou system. The results of the experiment showed that as the number of missions increased from 10 to 50, the average mission completion time increased from 8.3 to 12.5 minutes, the average speed increased from 30 to 34 km/h, the average energy consumption increased from 0.8 to 1.2 kWh, the average distance flown increased from 12 to 22 km, the communication success rate decreased slightly from 99.2 to 98.2%, the resource utilization rate increased from 85.1% to 87.5%. These results show that the method performs well in terms of task completion time, energy consumption, communication success rate and resource utilisation, which provides strong support for the application of UAVs in the fields of logistics and distribution, emergency rescue, and so on.
Ji, Hongbin, Jiang, Kexin, Zhang, Dongxue, Bai, Yanhui, Liu, He, Zhang, Shuangna
Common mode failures may simultaneously impair multiple redundant channels, threatening redundancy independence and flight safety. Existing studies have mainly focused on safety architecture analysis, analytical redundancy design, and reliability allocation, while systematic research on failure propagation in closed loop flight control systems remains limited. In particular, insufficient attention has been given to channel degradation divergence and unified modeling for online reconfiguration. To address these issues, a unified framework for common mode failure propagation is established. On this basis, a dissimilar redundant control architecture is constructed by combining a state feedback channel and a proportional integral derivative channel. A supervisory reconfiguration strategy is developed by integrating multi source degradation assessment, credibility based control allocation, and hysteresis based hybrid mode switching. Simulation results from a longitudinal closed loop model show that the proposed strategy captures the divergent degradation of heterogeneous channels and triggers coordinated reconfiguration during fault propagation. As degradation increases, the control system transitions from baseline operation to weighted fusion and then to a safety preserving degraded mode, with control authority shifted toward the more credible channel. Compared with the case without reconfiguration, the proposed method yields smoother control responses and improved tracking performance.
Peng, Cheng, Guo, Jianwei, Xu, Youping
Spacecraft are now required to possess all-weather, zero-window, and support-independent launch capabilities. Consequently, research on spacecraft targeting must continue to focus on improving convenience and efficiency. In this paper, a spacecraft targeting method based on point cloud alignment is proposed. Firstly, external Triple Self-targeting Inertial Measurement Units are utilized to complete self-targeting. Secondly, the 3D point cloud of the spacecraft is obtained by binocular imaging technology, and an attitude transformation matrix is obtained by aligning the measured point cloud with the standard point cloud. Finally, the installation relationships between the binocular camera and the Triple Self-targeting Inertial Measurement Units, as well as between the guidance system and the spacecraft body, are determined. Combining these installation relationships with the attitude transformation matrix, the targeting results from the Triple Self-targeting Inertial Measurement Units are transferred to the spacecraft guidance system. In the simulation experiment, the maximum standard deviation of the three directions after multiple targetings is 9′9″, which can meet the requirements of spacecraft targeting. The method proposed in this paper fully retains the self-targeting advantages of the Triple Self-targeting Inertial Measurement Units without external support, while making spacecraft targeting more flexible and rapid. If applied to actual equipment, it will effectively enhance the adaptability of spacecraft equipment to environments.
Wu, Bingjie, Wang, Xiaozi, Zhang, Wei, Li, Mingrun
Composite wing trans-medium aircraft integrate the high-speed cruise efficiency of fixed-wing aircraft with the vertical take-off and landing (VTOL) flexibility of rotary-wing aircraft, boasting significant application potential in marine environmental monitoring and other fields. This paper designs a trans-medium variable tiltrotor aircraft configuration, which adopts a foldable main wing to achieve adaptive adjustment of the aerodynamic profile, equips a rear tiltrotor to satisfy both VTOL and cruise propulsion requirements, and incorporates a T- tail layout to avoid rotor downwash interference. Concurrently, a worm-gear-driven wing morphing mechanism and a servo-driven rotor tilting mechanism are developed to realize reliable multi-mode switching. Computational fluid dynamics (CFD) numerical simulations are performed using ANSYS Fluent software, and a comparative analysis is conducted on the aerodynamic characteristics and flow field features of the two modes at varying speeds and angles of attack. Simulation and test results demonstrate that the lift-drag ratio peaks at an angle of attack of approximately 10° under cruise conditions, exhibiting excellent cruise efficiency. Flow field visualization results indicate that the flow field adheres well to the aircraft main body, and the flow field transition at the fusion zone between the T-tail and fuselage is smooth, which effectively reduces local eddy current interference. Within the high-efficiency angle of attack range, the overall aircraft flow field is uniformly distributed and the evolution of vortex structures is controllable, presenting favorable flow field stability. Additionally, the study reveals that flow separation and vortex structures in the wing-fuselage transition zone are the key factors affecting the stability of the overall aircraft flow field.
Hu, Yajun, Zhou, Liao, Guo, Mingming, Li, Boling, Tang, Wenyi
In transportation infrastructure constructed in mountainous and rocky regions, such as highway slopes, railway cuttings, bridge abutments, and tunnel portal slopes, uplift-resistant anchorage systems are widely required to ensure structural stability and service safety. To support anchorage design in such conditions, this study investigates the uplift bearing behavior, load-transfer mechanism, and key design parameters of pressure-type rock anchors in weathered rock strata through a combined field-and-numerical approach. A rock anchorage project in mountainous terrain in Shaoxing, Zhejiang Province, China, was adopted as the prototype case, and two representative anchors installed in strongly weathered and moderately weathered tuffaceous sandstone were selected for field pullout testing and three- dimensional finite element simulation. The failure characteristics, uplift load–displacement response, axial strain distribution of the grout body, and the effects of anchorage length and rock-socketed length were systematically examined. The results show that pressure- type rock anchors exhibit favorable uplift resistance in weathered rock strata. No overall pullout failure occurred during the tests, and no obvious cracking or significant ground deformation was observed. The uplift load–displacement curves exhibited a pronounced steep- transition pattern, and the axial strain of the grout body was mainly concentrated near the bearing plate and attenuated upward along the anchorage section. When the anchorage section extended into the moderately weathered rock stratum, strain attenuation became faster and interfacial load transfer became more efficient. Parametric analysis further indicates that the uplift bearing capacity increases approximately linearly with anchorage length before a critical anchorage length is reached, whereas the increase becomes much less significant beyond about 8 m. In addition, a proper increase in rock- socketed length can significantly improve the uplift bearing capacity. The findings provide useful reference for the design and optimization of uplift-resistant anchorage systems in transportation infrastructure founded in layered weathered rock.
Feng, Bing, Li, Panfeng, Zhou, Ji’an, Lv, Qing
Long-term orbital missions require highly independent life-support systems, maintaining ecological stability under limited external support and subsystem attenuation. Conventional strategies are typically based on fixed threshold rules or deterministic mass-balance models and cannot adapt to disturbances or multi-objective trade-offs between resource safety and environmental load. This paper proposes a reinforcement learning framework for managing micro closed-loop ecological systems under reliability decay and environmental constraints. A reinforcement learning controller based on Proximal Policy Optimization (PPO) is trained to learn stable regulation policies with random disturbances. A dynamic state model is constructed to describe the coupled and time-sequential elements, ranging from water storage, oxygen concentration, energy reserve, subsystem reliability to ecological load. Degradation propagation is integrated into the transition dynamics through reliability-dependent recycling efficiency. Simulation experiments demonstrate that the proposed policy maintains all resource variables within the safety margins while reducing ecological imbalance compared with traditional strategies. Consequently, the proposed framework provides an expandable control architecture for independent regulation of space station life-support systems.
Zhang, Heyang, Wu, Meixin, Xie, Junze
Time Difference of Arrival (TDOA) combined with the Extended Kalman Filter (EKF) is a widely used approach for dynamic target localization. However, in practical UAV localization scenarios, the EKF may suffer from divergence caused by nonlinear measurement characteristics, initialization errors, and measurement disturbances. To improve the robustness of EKF-based TDOA localization, this paper proposes a threshold-constrained EKF method, in which the velocity components of the updated state are limited within a physically reasonable range. The proposed strategy suppresses abnormal state updates and improves tracking stability under noisy conditions. Simulation results under straight, square, and circular trajectories, as well as outdoor experiments with real UAV signal data, show that the proposed method achieves better localization accuracy than the conventional TDOA-EKF. In the real-world tests, the mean localization error is reduced by 38.31% and 74.36% for two flight paths, respectively. The proposed method provides a simple and practical way to improve the robustness of TDOA-based UAV localization.
Lv, Zhenbin, Li, Yingying, Shen, Huaming, Zhou, Haosu, Wang, Anping, Zou, Weiwen
To investigate the effect of negative pressure environment on the aging behavior of solid propellants, a 60-day negative pressure accelerated aging test was carried out on SG-2 propellant with five working conditions: atmospheric pressure at room temperature, atmospheric pressure at 80°C, and negative pressure at 40°C/60°C/80°C. Combined with Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC), the functional group evolution law and thermal decomposition kinetic characteristics of the periphery zone and core zone of the propellant were analyzed. The results show that the propellant exhibits significant inhomogeneous aging characteristics under negative pressure aging. The functional group structure in the periphery zone is more stable in the early aging stage; in the middle stage, components such as DNT and C2 in the core zone migrate to the periphery zone; in the late stage, the undegraded components in the core zone continuously supplement the periphery zone, making the functional group integrity of the periphery zone better than that of the core zone. DSC tests combined with Kissinger and Ozawa methods show that the thermal decomposition activation energy of the propellant decreases continuously with the increase of aging temperature under negative pressure environment, and the activation energy drops to 428.91 kJ/mol after aging at negative pressure 80°C. High temperature accelerates the volatilization of NG, the cross- linking of NC molecular chains and the consumption of stabilizer, leading to the easy breakage of O-NO₂ groups and the significant deterioration of thermal stability. This study clarifies that the aging mechanism of the propellant under negative pressure environment is the synergistic effect of component migration and diffusion, functional group decomposition and molecular chain cross-linking, which provides a theoretical basis for the storage and application of solid propellants in negative pressure service scenarios such as deep space exploration.
Gao, Peizhe, Deng, Hanyu, Tang, Yuqing, Yuan, Yichao, Shen, Nianyu
This article proposes a practical predefined-time observer for hypersonic vehicle attitude control. To improve the convergence performance, a practical predefined-time condition is introduced into the observer. This design provides high flexibility and allows for a precise prediction of the maximum settling time, which does not depend on initial conditions. Moreover, the actual settling time can be adjusted by modifying the preset parameters. Numerical simulations are carried out to confirm the theoretical properties and to illustrate the observer’s effectiveness.
Zhang, Yufei, Yang, Hua, Chen, Weifang
Precise strain control of Shape Memory Alloys (SMAs) is challenging due to their strong nonlinearity, hysteresis, and thermomechanical coupling. To address the needs of real-time control system design, this paper proposes a two-time-scale decoupling control framework based on Model Predictive Control (MPC). First, a transient physics-based model considering one-dimensional heat conduction and latent heat under electrical excitation is established and then reduced to a lumped-parameter model suitable for controller design. To balance prediction accuracy and computational efficiency posed by the model nonlinearity, an innovative two-time-scale MPC strategy is designed: a fast inner-loop temperature MPC is used for efficient thermal management outside the phase transformation plateau, while it switches to an outer-loop strain MPC for precise trajectory tracking and hysteresis compensation during the critical phase transformation period. Simulations demonstrate that this strategy significantly reduces computational burden while maintaining accuracy. Compared to a single-time-scale MPC, the proposed method reduces the settling time by 26%, the root mean square error by 16%, and the single-step computation time by 19.6% for a step reference strain. This work provides an effective and engineering-friendly solution for high-performance, real-time control of SMA-based actuators.
Ding, Shaozhe, Liu, Longbin, Zhang, Shifeng
This research focuses on the application of statistical analysis of commercial flight data in aircraft conceptual scheme design. The payload-range performance of the commercial aircraft should be defined and analyzed by utilizing statistical methods during the conceptual scheme design, as it determines marketability. Statistical analysis is deemed essential due to the complexity and specific requirements of conceptual design. The research paradigm established in this study involves collecting and analyzing flight data of competitor aircrafts operating in the target market, using the OAG database as a foundation. This data is then utilized to build statistical models and conduct trade-off analysis. The results reveal that while the competitor aircraft has good route coverage, the conceptual scheme designed exhibits better payload-range performance, with a potential reduction in structural weight and better aerodynamic performance. Aircraft designers should take the imbalance in flight data between different airports, which is revealed by the application of statistical analysis, into consideration in conceptual scheme design. This study fills the gap between “market data-driven” and “performance modeling” in aircraft conceptual design, providing a reusable paradigm for subsequent research. The process of aircraft scheme design is a multi-disciplinary optimization process. When the range under certain payload of the concept scheme is already sufficient to cover the target market, how to conduct iterative design in conjunction with other indicators such as economy and commercial range is a problem worthy of in-depth study.
Gu, Xiangying, Cheng, Zhiyu
To address the joint estimation of state and parameters for fixed-wing aircraft in wind gradient environments, this paper proposes a high-precision identification method based on a physics-informed neural network. By integrating wind gradient models with flight dynamics equations, a multi-objective optimization framework combining data-driven approaches with physical constraints is established. Employing polynomial time embedding and a dual-branch network architecture, coupled with a dynamic training strategy, simultaneous estimation of flight state and wind gradient parameters is achieved. Experimental results demonstrate that this method achieves approximately 7% parameter estimation error while accurately reconstructing unobserved attitude information. Requiring only four-dimensional observation data, this approach provides an effective solution for wind gradient glide navigation in low-cost aircraft.
Wu, Ting, Bai, Zhuoyue, Gao, Xianzhong
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Sun, Yifeng, Li, Pengyan, Ma, Zhaolong
An adaptive equivalent consumption minimization strategy (A-ECMS) is proposed for a hydrogen fuel-cell range-extended UAV hybrid power system composed of a PEM fuel cell, a lithium-ion battery and a supercapacitor. The equivalent factor is updated online by a PID-based SOC feedback mechanism to improve the adaptability of conventional ECMS under variable flight loads. Under the same mission profile and the same initial and terminal SOC constraints, A-ECMS consumes 4.6277 g of hydrogen, reducing hydrogen consumption by 46.90%, 67.51% and 58.42% compared with PID control, conventional ECMS and state-machine control, respectively. Fuel-cell power fluctuation and battery SOC deviation are also reduced.
Li, Mengda, Liu, Zitong
Aircraft skin is a critical external structural component that provides aerodynamic profile, sustains and transfers aerodynamic loads, and protects internal systems from harsh environments. High machining precision is essential to ensure assembly accuracy and flight performance. However, large scale thin walled skin components are prone to significant machining deformation due to their low stiffness. Traditional deformation control methods, which relying heavily on experiments and full-process simulations, are inefficient and costly for industrial applications. To address this issue, this paper establishes a correlation model among machining parameters, residual stress, equivalent bending moment, and machining deformation. Single-factor experiments are conducted to reveal the effects of spindle speed, feed rate, and cutting depth on surface residual stress. Based on plate-shell theory, the relationship between residual stress and equivalent bending moment is established. The quantitative relationship between equivalent bending moment and machining deformation of the skin is obtained via finite element simulation modeling. Finally, a deformation control strategy for the skin during finish machining is established by optimizing the cutting depth. Experimental results show that after parameter optimization, the overall machining deformation of the 5A06 aluminum alloy skin is reduced by 81%, and the maximum deformation is controlled within 0.17 mm, which fully meets the aeronautical assembly requirements. This work provides an efficient and low-cost process optimization strategy for the machining deformation control of large weak-stiffness thin-walled components.
Chen, Shu-Guang, Wang, Jing-Kai, Wu, Chao, Wang, Tian-Rui, Yuan, Hao
The Electro-Hydrostatic Actuator (EHA) is a high-order nonlinear system with notable parameter uncertainties and coupled electro-hydraulic dynamics. To achieve high-precision position control, this paper proposes a novel sliding mode control strategy based on singular perturbation theory (SPT-SMC). The singular perturbation theory is applied to achieve a rational order reduction of the EHA system, simplifying controller design while mitigating unmatched disturbances. A sliding mode controller incorporating a new reaching law is then designed based on the reduced-order system. Finally, simulations studies are executed to assess the SPT-SMC. The results demonstrate that, compared with widely used control strategies, the proposed approach achieves faster response while ensuring stability.
Wang, Junyi, Wang, Wenshan, Hao, Juan, Bai, Liangliang, Du, Shihui
As key aerodynamic components of an aircraft propulsion system, the design quality of the inlet and nacelle directly affects engine intake quality and overall aircraft stability. Nacelle design is trending towards greater compactness, making the coupling and matching between the inlet and fan increasingly critical. To investigate the mechanism by which fan rotation influences inlet aerodynamic performance, this study takes the NASA ROTOR 67 fan model as the research object and couples it with a specific civil aircraft nacelle model to conduct research on the effect of fan rotation on inlet performance. Through computational analysis of the flow field characteristics and aerodynamic performance of the inlet before and after coupling under cruise, high-angle-of-attack climb, and crosswind conditions, the results show that under cruise conditions, the inlet performance with and without the coupled fan is essentially consistent. Under high-angle-of-attack climb and crosswind conditions, the fan suction effect effectively mitigates open separation on the wall, disrupts the secondary flow vortices, and improves the exit flow field quality. After coupling with the fan, the total pressure recovery coefficient at the AIP plane shows significant improvement under both high-angle-of-attack and crosswind conditions. Fan rotation demonstrates a notable flow rectification effect under adverse inlet conditions, effectively enhancing inlet aerodynamic performance.
Yang, Fei, Zhao, Qiang, He, Bihai, Yan, Yan, Zhou, Leisheng
To prepare reliable thick aluminum alloy tailor welded blanks for cryogenic forming, 2219 aluminum alloy friction tailor welded blanks that has the thickness of 12 mm were selected as the research object in our study. Vickers hardness tests were employed to clarify the property distribution across the weld cross-section. Room temperature uniaxial tensile tests have been used to reveal through- thickness deformation behavior under tensile loading. The mechanical tests at room and cryogenic temperatures were employed to investigate the effects of welding parameters of the friction tailor welded blanks on the mechanical properties, and evaluate the cryogenic formability of the welded blanks. Results show that the single-sided FSW specimens exhibit decreased hardness values from the top to the bottom surface, causing more severe deformation in bottom region and macroscopic bending under tension stress condition. In contrast, the double-sided FSW specimens exhibit a more uniform hardness distribution across the weld cross-section, resulting in nearly symmetric deformation and no significant bending. Lower welding speeds combined with higher rotational speeds significantly improved the ductility of the tailor welded blanks. The optimal welding parameters are identified as 200 mm/min and 800 rpm, showing a 321.1 MPa tensile strength and a 22.2% elongation, at room temperature after water quenching and solution treatment. These values increase to 385.5 MPa and 33.5% at liquid nitrogen temperature, showing a more than 20% enhancement in strength and around 50% enhancement in ductility, indicating excellent formability. This study offers a reliable material and process basis for the integrally forming of ultra-large components.
Liu, Hanyu, Yang, Guang, Zhang, Zhichao, Li, Yajun, Hu, Lan, Fan, Xiaobo
To improve the efficiency of airport surface operations involving multiple aircraft types and multiple flight-test aircraft at the same airport, this study investigates the taxi-route optimization problem for flight-test aircraft. First, a runway-exit-time optimization model is established by modeling the landing rollout process, with minimum runway-occupancy time as the objective, so as to determine the optimal rapid-exit taxiway. Second, a multi-aircraft taxi-route optimization model is formulated by incorporating taxi-conflict constraints and is solved using an improved wolf pack algorithm. The case study shows that the proposed method can effectively reduce the total taxi time of multiple flight-test aircraft and shorten the runway-occupancy time of arriving aircraft, thereby demonstrating good feasibility and practical engineering value.
Wang, Tong
To address geometric precision degradation and tracking divergence in single TDOA or AOA systems, this paper proposes a multi-station UAV tracking method integrating TDOA/AOA hybrid localization with nonlinear filtering to overcome precision degradation and tracking divergence in single-sensor systems. A Weighted Least Squares (WLS) method via pseudo-linearization provides reliable initial coordinate estimations, followed by an Unscented Kalman Filter (UKF) for continuous trajectory tracking. Simulations demonstrate that the proposed architecture eliminates network blind zones and robustly handles abrupt target maneuvers. Compared to the standard EKF, it rapidly suppresses peak RMSE to ~22 m and achieves a steady-state error of 10-15 m. This approach offers a high-precision, rapidly converging passive tracking solution for urban low-altitude defense.
Shen, Huaming, Wang, Yiting, Lv, Zhenbin, Zhou, Haosu, Lu, Wenbin
Owing to their remarkable specific strength and stiffness, coupled with superior impact resistance and thermal/acoustic insulation, sandwich composite panels are extensively utilized in marine, aerospace, and transportation sectors. In contrast to conventional monolithic structures, the multi-layered architecture of sandwich panels introduces complex fatigue failure mechanisms that are not yet fully understood. This study experimentally investigates a U-shaped core sandwich panel featuring a rectangular hatch opening under uniaxial tensile fatigue loading, aiming to characterize its crack initiation and propagation behavior. Subsequently, a custom three- dimensional fatigue crack growth simulation code is developed, grounded in linear elastic fracture mechanics and the extended finite element method (XFEM). A comparison with experimental measurements reveals that the maximum relative error between the predicted and observed fatigue life is 15.7%. The findings offer a theoretical foundation and a technical reference for the fatigue design and life assessment of such sandwich structures.
Chen, Siyu, Xu, Yunze, Liu, Gang