Distributed moving horizon consensus estimation of full-car active-suspension systems

被引：0
|
作者：
Song X.-L. [1 ]
Zhou W.-L. [1 ]
Xu C.-H. [1 ]
He D.-F. [1 ]
机构：
[1] College of Information Engineering, Zhejiang University of Technology, Zhejiang, Hangzhou
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2023年 / 40卷 / 08期
基金：
中国国家自然科学基金;
关键词：
consensus; distributed state estimation; full-car active suspension; moving horizon estimation;
D O I：
10.7641/CTA.2022.20240
中图分类号：
学科分类号：
摘要：
A distributed moving horizon estimation (DMHE) algorithm based on the consensus principle was proposed for constrained state estimation of full-car active-suspension systems. Firstly, to reduce the calculation demand in the state estimation, the vehicle active suspension system is decomposed into several subsystems with reduced order. Secondly, to improve the effect of distributed state estimation, the moving horizon estimation (MHE) method is used to deal with the state and noise constraints of the active-suspension system. Considering the correlation between the subsystem and its neighbor estimation states, the information fusion of states of the active-suspension system is realized by applying the consensus principle several times in a sampling interval. The sufficient conditions for ensuring stability of the algorithm are further established. Finally, the effectiveness and the superiority of the algorithm are verified by some comparison simulation experiments. © 2023 South China University of Technology. All rights reserved.
引用
收藏
页码：1488 / 1496
页数：8
相关论文
共 22 条
  • [1] RATH J J, DEFOORT M, KARIMI H R, Et al., Output feedback active suspension control with higher order terminal sliding mode, IEEE Transactions on Industrial Electronics, 64, 2, pp. 1392-1403, (2017)
  • [2] HUANG Y B, NA J, WU X, Et al., Approximation-free control for vehicle active suspensions with hydraulic actuator, IEEE Transactions on Industrial Electronics, 65, 9, pp. 7258-7267, (2018)
  • [3] SUN W C, ZHAO Z L, GAO H J., Saturated adaptive robust control for active suspension systems, IEEE Transactions on Industrial Electronics, 60, 9, pp. 3889-3896, (2013)
  • [4] CANALE M, MILANESE M, NOVARA C., Semi-active suspension control using ‘fast’model-predictive techniques, IEEE Transactions on Industrial Electronics, 63, 10, pp. 6510-6518, (2016)
  • [5] SUN W C, ZHANG Y F, HUANG Y P, Et al., Transient-performance-guaranteed robust adaptive control and its application to precision motion control systems, IEEE Transactions on Control Systems Technology, 14, 6, pp. 1034-1046, (2006)
  • [6] ZHANG Y Z, LIU M C, ZHANG C Z., Robust fault-tolerant H∞ output feedback control of active suspension and dynamic vibration absorber with finite-frequency constraint, IET Intelligent Transport Systems, 14, 14, pp. 1935-1945, (2020)
  • [7] WANG R R, JING H, KARIMI H R, Et al., Robust fault-tolerant H∞ control of active suspension systems with finite-frequency constraint, Mechanical Systems and Signal Processing, 62, pp. 341-355, (2015)
  • [8] KIM C, PAUL I R., Reduced-order modelling and parameter estimation for a quarter-car suspension system, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 214, 8, pp. 851-864, (2000)
  • [9] SHIRIJOPOSHT N P, HASSANZADEH I, HASHE M F, Et al., Optimal active suspension control based on a quarter-car model: An analytical solution, International Journal of Vehicle Safety, 5, 1, pp. 1-20, (2010)
  • [10] ZHANG H, ZHENG X Y, YAN H C, Et al., Codesign of event-triggered and distributed H∞ filtering for active semi-vehicle suspension systems, IEEE Transactions on Mechatronics, 22, 2, pp. 1047-1058, (2017)
123