Your Selections

Fuzzy logic
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Events

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration control of semi-active vehicle suspension system incorporating MR damper using fuzzy self-tuning PID approach

Helwan University-Ahmed Shehata Gad, W. Oraby, H. Metered
  • Technical Paper
  • 2020-01-1082
To be published on 2020-04-14 by SAE International in United States
In this paper, a nonlinear semi-active vehicle suspension system using MR fluid dampers is investigated to enhance ride comfort and vehicle stability. Fuzzy logic and fuzzy self-tuning PID control techniques are applied as system controllers to compute desired front and rear damping forces in conjunction with a Signum function method damper controller to assess force track-ability of system controllers. The suggested fuzzy self-tuning PID operates fuzzy system as a PID gains tuner to mitigate the vehicle vibration levels and achieve excellent performance related to ride comfort and vehicle stability. The equations of motion of four-degrees-of-freedom semi-active half-vehicle suspension system incorporating MR dampers are derived and simulated using Matlab/Simulink software. Control performance criteria including bounce and pitch motions are evaluated in both time and frequency domains in order to quantify the effectiveness of proposed system controllers under bump and random road disturbances. Fuzzy self-tuning PID controller gives a better force tracking than fuzzy logic. The performance of both controlled semi-active suspension systems using MR dampers is compared with MR passive and conventional passive to show the…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Automatic Parking Control Algorithms and Simulation Research Based on Fuzzy Controller

Kumasi Technical University-Prince Owusu-Ansah
Kwame Nkrumah University of Science and Technology-Micheal Sackey
  • Technical Paper
  • 2020-01-0135
To be published on 2020-04-14 by SAE International in United States
With the increase of car ownership and the complex and crowded parking environment, it is difficult for drivers to complete the parking operation quickly and accurately, and even cause traffic accidents such as vehicle collision and road jam because of poor parking skills. The emergence of an automatic parking system can help drivers park safely and reduce the occurrence of safety accidents. In this paper, an adaptive proportional integral derivative neural network constrained control method based on radial basis function neural network model identifier is proposed for an automatic parallel parking system with front wheel steering is studied by using MATLAB/Simulink environment, and the simulation is carried out. Firstly, according to vehicle parameters and obstacle avoidance constraints, the minimum parking space, and parking starting position are calculated. Meanwhile, the path planning of parallel parking spaces is carried out by quintic polynomial. The fuzzy control algorithm and neural network algorithm are used to realize automatic parking. Finally, the pre-operation, decision-making speed, correlation coefficient between input data and output data of the two algorithms are compared. Both…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Research on Forward Collision Warning System and Fuzzy Control of Automatic Emergency Braking System

China-Shi Qin
Hefei University of Technology-Zhang Lei
  • Technical Paper
  • 2020-01-5033
Published 2020-02-24 by SAE International in United States
The automatic emergency braking (AEB) system and forward collision warning (FCW) system are significant for active safety systems. It can efficiently reduce the rear-end accidents and protect the drivers and pedestrians. The model of an E-class SUV is established with CarSim software, and the control strategy based on fuzzy control is developed with MATLAB/Simulink. Simulation analysis on several typical braking conditions is carded out. The experiment results agree with the analysis results, which indicates that the research method can satisfy the safety requirements of automatic emergency braking system and the accuracy requirement of forward collision warning system.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Simulation Study for Hybrid Electric Vehicles with Gasoline Compression Ignition Technology

SAE International Journal of Advances and Current Practices in Mobility

Aramco Overseas Company B.V. (Aramco Fuel Research Center),-Hyun-Woo Won
  • Journal Article
  • 2019-01-2218
Published 2019-12-19 by SAE International in United States
Strict pollutants regulations, real driving emissions compliance and CO2 reduction mandates are stretching the boundaries of traditional internal combustion engine (ICE) development. Despite major improvements in the last decade, car manufacturers still face challenges in simultaneous abatement of CO2 and local emissions of conventional diesel compression ignition and gasoline spark ignition powertrains. By combining a clean fuel like gasoline with a high efficiency thermodynamic cycle (compression ignition) it is possible to create a powertrain that is clean both globally and locally, and so breaking the historical trade-off between decreasing CO2 vs. pollutants criteria. The concept is known worldwide as Gasoline Compression Ignition (GCI).Very low vehicle out CO2 cannot be achieved if ICEs are not combined with a hybrid electric powertrain. Saudi Aramco also looks into the possibility of combining GCI with hybrid electric technologies. A 0D simulation of powertrain was performed using the Stateflow® approach and Fuzzy Logic Toolbox™ in MATLAB® and Simulink® on different driving cycles.The purpose of this paper is to design the control strategies for different hybrid architectures based on certain parameters…
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Modelling and Validation of a Control Algorithm for Yaw Stability & Body Slip Control Using PID & Fuzzy Logic Based Controllers

SITAMS-Chellappan Kavitha
VIT University-Umashankar Lath, Sanyam Kakkar, Aman Agarwal, Bragadeshwaran Ashok, Vemuluri Ramesh Babu, Sathiaseelan Denis Ashok
Published 2019-10-11 by SAE International in United States
Advanced driver-assistance systems (ADAS) are becoming an essential part of the modern commercial automobile industry. Vehicle handling and stability are determined by the yaw rate and body slip of the vehicle. This paper is a comparative study of a nonlinear vehicle stability control algorithms for steering control based on two different controllers i.e. fuzzy logic based controller and PID controller. A full vehicle 14DOF model was made in Simulink to simulate an actual vehicle. The control algorithms are based on a two-track 7-DOF model with a non-linear tire model based on Pacejka “Magic tire formula”, which was used to establish the desired response of a full vehicle 14DOF model. It was found that the fuzzy logic-based control algorithm demonstrated an overall superior performance characteristic than a PID based control algorithm; this includes a significant decrease in time lag and overshoot. The proposed control algorithms were validated through the co-simulation of Carsim and Simulink in real time.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Fuzzy Logic Based Energy Management of Grid Connected Hybrid Energy System

SRM Institute of Science And Technology-Suchitra Dayalan, Rajarajeswari Rathinam, Pranav Pandey, Mrutyunjay Adap
Published 2019-10-11 by SAE International in United States
On account of boundless presence and eco-friendly nature of Sustainable Energy Sources (SES) like Wind system, PV etc. power generation using SES became more captivating. This work concentrates on Energy Management (EM) of grid synchronized Hybrid Renewable Energy System (HRES) along with fuzzy logic control. Where the HRES system is a combination of solar panel and wind turbine as sources. Along with an electrical battery for energy storage via an interface using a DC-DC fused CUK-SEPIC converter with multiple input is adopted. This convertor is employed to incorporate the HRES to the main grid. In addition to grid integration a Fuzzy Logic Based (FLB) controller is employed to increase the efficiency of the system. The converter topology used is a crossbreed of wind and solar power system, which is used to eliminate the inclusion of MPPT. A two level framework is imposed, which includes a logic controller to ensure efficient EM when HRESs are interconnected with the grid. Simulation of the FLB energy management system is performed along with the implementation of hardware setup.
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration Control of an Active Seat Suspension System Integrated Pregnant Woman Body Model

6 th of October Univ. and Helwan University-AM Abdel-Ghany
Helwan University-H. Metered, A. M Bassiuny
Published 2019-04-02 by SAE International in United States
Proportional-integral-derivative (PID) controller is effective, popular and cost effective for a lot of scientific and engineering applications. In this paper, PID and fuzzy-self-tuning PID (FSTPID) controllers are applied to improve the performance of an active seat suspension system to enhance the pregnant woman comfort. The equations of motion of thirteen-degrees-of-freedom (13-DOF) active seat suspension system incorporating pregnant woman body model are derived and simulated. PID gains are tuned and estimated using genetic algorithm (GA) to formulate GA PID controller. In FSTPID, fuzzy logic technique is used to tune PID controller gains by selecting appropriate fuzzy rules using Matlab/Simulink software. Both controlled active seat suspension systems are compared with a passive seat suspension. Suspension performance is evaluated under bump and random road excitations in order to verify the success of the proposed controllers. Theoretical results reveal that the proposed controllers using GA PID and FSTPID grant a significant enhancement of the pregnant woman comfort and her fetus.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Energy-Oriented Torque Allocation Strategy Design of 4WID Electric Vehicle Using Slope Information

Yang Ding
Southeast University-Guangmin Li, Weichao Zhuang, Yanjun Ren, Guodong Yin
Published 2019-04-02 by SAE International in United States
The paper proposes an energy-oriented torque allocation strategy to reduce the energy consumption of four-wheel independent driving (4WID) electric vehicles (EVs). To compute its energy efficiency accurately, the measured efficiency map is fitted by the cubic spline interpolation method. The energy-oriented torque allocation strategy is designed by minimizing the energy consumption during vehicle driving and braking. According to the varying requirement of torque and speed, the torque of front and rear axle cab be allocated dynamically by adjusting the torque allocation coefficients. To ensure the high efficiency of motors and reduce the energy consumption caused by current shock, the torque allocation coefficients are obtained from two kinds of sub strategies. A fuzzy logic controller is designed to combine the derived torque allocation coefficient above, by adopting Mamdani structure with 2 inputs and 1 output. It is validated by simulating under driving cycles and the roads with up-down slopes. Simulation results of driving cycles show that the proposed strategy can dynamically distribute the front and rear axle torque at different velocities, reducing the energy consumption compared…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Energy Management Strategy and Size Optimization of a LFP/LTO Hybrid Battery System for Electric Vehicle

Nanjing University of Science and Techno-Yang Ding
Southeast University-Guangmin Li, Weichao Zhuang, Guodong Yin, Yanjun Ren
Published 2019-04-02 by SAE International in United States
This paper proposes a semi-active hybrid battery system (HBS), composed by lithium iron phosphate battery (LFP) and lithium titanate battery (LTO) for electric vehicle (EV) to reduce the life cycle cost of energy storage system. Firstly, the topology of this HBS is introduced. The high energy-density battery, LFP is adopted as the primary energy source, while the high power-density one, LTO is connected in parallel with a bidirectional DC-DC converter and used as secondary energy source to extend the lifetime of HBS by reducing the current stress of LFP. The dynamic model of this HBS is built, in which, the LFP and LTO are both modeled as second-order RC model. In addition, dynamic semi-empirical degradation model of the LFP battery is chosen to estimate the lifetime of HBS. Secondly, a fuzzy logic controller with 3 inputs and 1 output is proposed to decide the power split between the primary and secondary power sources. LFP and LTO both could provide power to drive the vehicle, while the electricity generated by regenerative braking is only stored in…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Intention Aware Motion Planning with Model Predictive Control in Highway Merge Scenario

Hanyang University-Hayoung Kim, Dongchan Kim, Kunsoo Huh
Published 2019-03-25 by SAE International in United States
Human drivers navigate by continuously predicting the intent of road users and interacting with them. For safe autonomous driving, research about predicting future trajectory of vehicles and motion planning based on these predictions has drawn attention in recent years. Most of these studies, however, did not take into account driver’s intentions or any interdependence with other vehicles. In order to drive safely in real complex driving situations, it is essential to plan a path based on other driver’s intentions and simultaneously to estimate the intentions of other road user with different characteristics as human drivers do. We aim to tackle the above challenges on highway merge scenario where the intention of other road users should be understood. In this study, we propose an intention aware motion planning method using finite state machine and model predictive control without any vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications. The key idea is to design the behavioral planner that control the possible modes like human drivers do. This behavioral planner contains “negotiate” state which could inform my intent to other…
This content contains downloadable datasets
Annotation ability available