Adaptive fuzzy control of an electromagnetic hybrid suspension based on road recognition

PDF(2328 KB)

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (2) : 303-311.

KOU Farong， HE Jiajie， LI Mengxin， XU Jia’nan， WU Dapeng

Author information +

History +

Abstract

In order to improve the poor adaptability of dynamic performance and energy regenerative characteristics of active suspension on different road levels, an adaptive fuzzy control of electromagnetic hybrid suspension based on road level recognition was designed. The BAS-BP road recognition model was established by optimizing the neural network weight threshold with BAS algorithm. An adaptive fuzzy PID controller is designed. Three objective functions are designed for different pavement levels and the main dynamic feedback adjustment theory domain is introduced. The dynamic performance and energy regenerative characteristics of suspension were analyzed by simulation and bench test was carried out. Simulation results show that: Compared with fuzzy PID control, the root mean square of sprung mass acceleration of the suspension system with adaptive fuzzy control is reduced by 13.28% and 13.84% on grade A and B road surface, and the root mean square of dynamic load of the tire on grade B, C and D road surface is reduced by 9.09%, 16.07% and 15.54% respectively, and 42.8W vibration energy recovery is achieved. The experimental results show that, compared with the simulation analysis, the relative errors in time domain and frequency domain are within 16%, which verifies the correctness of the simulation results and the practicability of the system.

Key words

Electromagnetic hybrid suspension；road recognition；objective function / adaptive fuzzy PID control

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

KOU Farong， HE Jiajie， LI Mengxin， XU Jia’nan， WU Dapeng. Adaptive fuzzy control of an electromagnetic hybrid suspension based on road recognition[J]. Journal of Vibration and Shock, 2023, 42(2): 303-311

References

[1] 申永军,田佳雨,赵勇香,等.含时滞半主动天棚悬架系统的解析研究[J].振动.测试与诊断,2014,34(06):1110-1114.
Shen Yongjun,Tian Jiayu,Zhao Yongxiang,et al. Analytic-
al Research on Semi-acactive Canopy Suspension System with Time Delay [J]. Journal of Vibration，Measurement & Diagnosis,2014,34(06):1110-1114+1173.
[2] 段建民,黄小龙,陈阳舟.具有输入时滞的主动悬架鲁棒补偿控制[J].振动与冲击,2020,39(24):254-263+277.
Duan Jianmin, Hung Xiaolong. Robust compensation control of active suspension with input delay [J]. Journal of vibration and shock,2020,39(24):254-263+277.
[3] 郜浩楠,徐俊,蒲晓晖,李士盈,梅雪松.面向新能源汽车的悬架振动能量回收在线控制方法[J].西安交通大学学报,2020,54(04):19-26.
Gao Haonan, Xu Jun, Pu Xiaohui, Li Shiying, Mei Xuesong. On-line Control Method for New Energy Vehicle Suspension Vibration Energy Recovery [J]. Journal of Xi 'an Jiaotong University,2020,54(04):19-26.
[4] 汪若尘,孙东,丁仁凯,孟祥鹏,俞峰.液压互联馈能悬架工作模式设计与试验研究[J].振动与冲击,2020,39(05):112-117.
Wang Ruochen, Sun Dong, Ding Renkai, Meng Xiangpeng, Yu Feng. Working mode design and tests for hydraulically interconnected energy-feeding suspension [J]. Journal of vibration and shock,2020,39(05):112-117.
[5] 汪若尘,焦宇,钱金刚,丁仁凯,陈龙.混合悬架半主动控制器设计与试验[J].农业机械学报,2017,48(06):334-340.
Wang Ruochen, Jiao Yu, Qian Jingang, Ding Renkai, Chen Long. Design and Test of Semi-active Controller for Hybrid Suspension [J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(06):334-340.
[6] 张晗,过学迅,方志刚,等.馈能式悬架能量回收潜力试验研究[J].振动.测试与诊断,2015,35(02):225-230+395.
Zhang Han, Guo Xuexun, Fang Zhigang,et al. Experime-ntal Study on Energy Recovery Potential of Energy Regenerative Suspension [J]. Journal of Vibration，Measurement & Diagnosis,2015,35(02):225-230+395.
[7] 李以农,朱哲葳,郑玲,胡一明.基于路面识别的主动馈能悬架多目标控制与优化[J/OL].交通运输工程学报:1-11[2021-04-28].http://kns.cnki.net/kcms/detail/61.1369.U.20210427.1648.004.html.Li Yinong, Zhu Zhewei, Zheng Ling, Hu Yiming. Multi-objective control and optimization of active energy-regenerative suspension based on road recognition[J]. Journal of Traffic and Transportation Engineering: 1-11 [2021-04-28]. http://kns.cnki.net/kcms/detail/61.1369.U.20210427.1648.004.html.[9] C.-Y. Hsieh, B. Huang, F. Golnaraghi, and M. Moallem. Regenerative skyhook control for an electromechanical suspension system using a switch-mode rectifier[J]. IEEE Transactions on Vehicular Technology,2016, 65(12):9642-9650.
[10] RIZVI S M H, ABID M,et al. H∞ control of 8 degrees of freedom vehicle active suspension system[J]. Journal of King Saud University Engineering Sciences, 2016, 30(2): 161-169.
[11] 石波,邓志君,刘悦,呼超.馈能型多模式主动悬架阻尼力控制策略研究[J].中国农机化学报,2020,41(07):123-129.
Shi Bo, Deng Zhijun, Liu Yue, Hu Chao. Research on Damping Force Control Strategy of Energy-regenerative Multi-mode Active Suspension [J]. Chinese Journal of Agricultural Mechanization,2020,41(07):123-129.
[12] Zhang Y, Guo K, Wang D, et al. Energy conversion mechanism and regenerative potential of vehicle suspensions [J]. Energy, 2016, 119:961-970.
[13] 汪若尘,丁彦姝,孙东,丁仁凯,孟祥鹏.基于路面激励自适应的液电馈能悬架动力学性能协调控制[J].农业工程学报,2019,35(06):55-64.
Wang Ruochen, Ding Yanshu, Sun Dong, Ding Renkai, Meng Xiangpeng. Coordinated Control of Dynamic Performance of Hydraulic Electrically Regenerative Suspension Based on Road Excitation Adaptive [J]. Transactions of the Chinese Society of Agricultural Engineering,2019,35(06):55-64.
[14] 王甜甜,刘强.基于BAS-BP模型的风暴潮灾害损失预测[J].海洋环境科学,2018,37(03):457-463.
Wang Tiantian, Liu Qiang. Prediction of storm surge disaster loss based on BAS-BP model [J]. Marine Environmental Science,2018,37(03):457-463.