Active fault-tolerant control and performance simulation of electric vehicle suspension based on improved algorithms

被引：0
作者：
Xiao, Caiyuan [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Green Construction and Intelligent Monitoring in Southwestern Hunan for Regular Higher Educational Institutions of Hunan Province, Shaoyang
[2] Engineering Research Center for Bamboo fiber construction materials of Hunan Province, Shaoyang
[3] College of Civil and Architecture Engineering, Shaoyang University, Shaoyang
来源：
EAI Endorsed Transactions on Energy Web | 2024年 / 11卷
关键词：
Active suspension; Multiple degrees of freedom; PSO; Robust control; Vehicle model;
D O I：
10.4108/EW.6146
中图分类号：
学科分类号：
摘要：
Based on the semi-active suspension controller of an automobile, the control law can be adjusted based on the control law reorganization idea, and the active fault-tolerant controller of the semi-active suspension is designed to make the fault closed loop system and the fault-free suspension semi-active suspension. Active suspension closed-loop systems have the same closed-loop pole or proximity system performance. Bench test and simulation results show that: the fault suspension under the control of the active fault-tolerant controller lags behind its performance level after some time and can quickly recover to the same performance as the fault-free automotive semi-active suspension level. And the simulation test and bench test results are basically consistent. Based on the concept of control law reorganization to design the active fault-tolerant control strategy of semi-active suspension, it can effectively realize the active fault-tolerant control of the semi-active suspension of the vehicle to improve the suspension control quality and reliability, and optimize the suspension design. © 2024 C. Xiao et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
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共 17 条
  • [1] Sanguesa J. A., Torres-Sanz V., Garrido P., Et al., A review on electric vehicles: Technologies and challenges, Smart Cities, 4, 1, pp. 372-404, (2021)
  • [2] Zhao W., Wang Y., Wang C., Multidisciplinary optimization of electric-wheel vehicle integrated chassis system based on steady endurance performance, Journal of Cleaner Production, 186, pp. 640-651, (2018)
  • [3] Wu H., Gao Q., Wang C., Et al., Decoupling control of chassis integrated system for electric wheel vehicle, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234, 6, pp. 1515-1531, (2020)
  • [4] Albrecht A. R., Wang Y., Ghasemkhani M., Et al., Exploring ultrafast negative Kerr effect for mode-locking vertical external-cavity surface-emitting lasers, Optics express, 21, 23, pp. 28801-28808, (2013)
  • [5] Hassaan G. A., Car dynamics using quarter model and passive suspension, part I: effect of suspension damping and car speed, International Journal of Computer Techniques, 1, 2, pp. 1-9, (2014)
  • [6] Tahmasebi M., Rahman R. A., Mailah M., Et al., Sprayer boom active suspension using intelligent active force control, Journal of World Academy of Science, Engineering and Technology, 68, pp. 1277-1281, (2012)
  • [7] Tseng H. E., Hrovat D., State of the art survey: active and semi-active suspension control, Vehicle system dynamics, 53, 7, pp. 1034-1062, (2015)
  • [8] Poussot-Vassal C., Spelta C., Sename O., Et al., Survey and performance evaluation on some automotive semi-active suspension control methods: A comparative study on a single-corner model, Annual Reviews in Control, 36, 1, pp. 148-160, (2012)
  • [9] Huang Z., Proppe A. H., Tan H., Et al., Suppressed ion migration in reduced-dimensional perovskites improves operating stability, ACS Energy Letters, 4, 7, pp. 1521-1527, (2019)
  • [10] Mahmoodabadi M. J., Safaie A. A., Bagheri A., Et al., A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model, Applied Soft Computing, 13, 5, pp. 2577-2591, (2013)
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