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Nonlinear Force Model of Electromagnetic Damper and Its Influence on Vibration Control
Technical Paper
2021-01-0319
ISSN: 0148-7191, e-ISSN: 2688-3627
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SAE WCX Digital Summit
Language:
English
Abstract
In this paper, a nonlinear force model of an electromagnetic damper (EMD) is established and the model’s parameters are obtained by experiments. The effect of nonlinear force on vibration control of vehicle suspension system is analyzed by comparing the simulation data. Firstly, according to the mechanical and circuit structure of the EMD, a nonlinear model including electromagnetic force, friction force, and inertial force is established. Based on the EMD bench test, the mechanical parameters of the DC motor and the ball screw are obtained by the least square method. Then a quarter-car model including the electromagnetic suspension is established. By analyzing the transmission rate of the suspension response to the road excitation, the nonlinear force of the EMD shows an obvious influence on the high-frequency vibration performance of the suspension. Finally, using the linear quadratic regulator (LQR) controller combined with the control logic of the semi-active EMD, the vibration control performance of the vehicle suspension under bump and random excitation is analyzed through numerical simulation. The results show that the nonlinear force of the EMD deteriorates the sprung mass acceleration (SMA) and the dynamic tire deformation (DTD), but improves the deflection of suspension (DDS). Moreover, in the nonlinear force of EMD, the influence of inertia force on suspension vibration control performance is more obvious than friction force.
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Liu, P., Zheng, M., Luo, L., ning, D. et al., "Nonlinear Force Model of Electromagnetic Damper and Its Influence on Vibration Control," SAE Technical Paper 2021-01-0319, 2021, https://doi.org/10.4271/2021-01-0319.Data Sets - Support Documents
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References
- Williams , D.E. Active Suspension: Future Lessons from The Past SAE International Journal of Vehicle Dynamics, Stability, and NVH 2 2 147 165 2018 https://doi:10.4271/10-02-02-0010
- Gong , M. and Chen , H. Variable Damping Control Strategy of a Semi-Active Suspension Based on the Actuator Motion State Journal of Low Frequency Noise, Vibration and Active Control 2019 https://doi:10.1177/1461348418825416
- Sun , S.S. et al. Development of an MR Seat Suspension with Self-Powered Generation Capability Smart Materials and Structures 26 8 Aug 2017 https://doi:10.1088/1361-665X/aa76b6
- Dugard , T.-P.P.O.S.L. Real-Time Damper Force Estimation of Vehicle Electrorheological Suspension: A NonLinear Parameter Varying Approach 52 28 94 99 2019
- Huang , K. , Yu , F. , and Zhang , Y. Active Control Design for an Electromagnetic Energy-Regenerative Suspention International Journal of Automotive Technology 12 6 877 855 2011 https://doi:10.1007/s12239−011−0100−2
- Li , Z. , Zuo , L. , Luhrs , G. , Lin , L. Electromagnetic Energy-Harvesting Shock Absorbers: Design, Modeling, and Road Tests IEEE Transactions on Vehicular Technology 62 3 1065 1074 2013 https://doi:10.1109/tvt.2012.2229308
- Zhang , Z. et al. A High-Efficiency Energy Regenerative Shock Absorber using Supercapacitors for Renewable Energy Applications in Range Extended Electric Vehicle Applied Energy 178 177 188 2016 https://doi:10.1016/j.apenergy.2016.06.054
- Ning , D. , Jia , Z. , and Du , H. A Variable Inertance and Variable Damping Vibration Control System with Electrical Circuit IEEE Transactions on Industrial Electronics 2018
- Khan , M.A. , Abid , M. , Ahmed , N. , Wadood , A. , and Park , H. Nonlinear Control Design of a Half-Car Model Using Feedback Linearization and an LQR Controller Applied Sciences 10 9 2020 https://doi:10.3390/app10093075
- Cao , F. and Li , Y. Fuzzy Adaptive Nonlinear Stochastic Control for Vehicle Suspension with Electromagnetic Actuator Measurement and Control 53 7 8 1364 1375 2020 https://doi:10.1177/0020294020915233
- Gad , S. Preview Model Predictive Control Controller for Magnetorheological Damper of Semi-Active Suspension to Improve Both Ride and Handling SAE International Journal of Vehicle Dynamics, Stability, and NVH 4 3 2020 https://doi:10.4271/10-04-03-0021
- Li , Y. , Zheng , L. , Liang , Y. , and Yu , Y. Adaptive Compensation Control of an Electromagnetic Active Suspension System Based on Nonlinear Characteristics of the Linear Motor Journal of Vibration and Control 26 21 22 1873 1885 2020 https://doi:10.1177/1077546320909985
- Sun , X.Q. , Chen , L. , Wang , S.H. , Zhang , X.L. , and Yang , X.F. Performance Investigation of Vehicle Suspension System with Nonlinear Ball-Screw Inerter International Journal of Automotive Technology 17 3 399 408 2016 https://doi:10.1007/s12239-016-0041-x
- Ning , D. , Sun , S. , Du , H. , Li , W. , and Zhang , N. Vibration Control of an Energy Regenerative Seat Suspension with Variable External Resistance Mechanical Systems and Signal Processing 106 94 113 Jun 2018 https://doi:10.1016/j.ymssp.2017.12.036