Experimental Implementation of Model Predictive Control Scheme for Control of Semi-active Suspension System

被引：6
|
作者：
Rathai, Karthik Murali Madhavan [1 ]
Alamir, Mazen [1 ]
Sename, Olivier [1 ]
机构：
[1] Univ Grenoble Alpes, CNRS, Grenoble INP, GIPSA Lab, F-38000 Grenoble, France
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 05期
关键词：
Semi-active suspension system; Model predictive control; System Identification; Vertical dynamics; VIBRATION CONTROL;
D O I：
10.1016/j.ifacol.2019.09.042
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a model predictive control (MPC) scheme is developed and experimentally validated for control of a quarter car system equipped with semi-active (SA) suspension system, which is stationed on the INOVE test platform. The work can be described in two folds which are a) parametric modelling of Electro-Rheological (ER) damper based SA suspension system (ER-SA) and b) implementation of MPC with discretized set of inputs, which in this case are the set of duty cycle (DC) dependent pulse width modulation (PWM) signals that operates the ER-SA suspension system. In the former work, a phenomenological parametric damper model is utilized to describe the ER damper's dynamic input/output characteristics by virtue of non-linear least squares (NLS) data fitting method. The latter method utilizes this model into the MPC framework for control of the quarter car system. The MPC controller was practically implemented on the INOVE test platform and results display better performance of the MPC controller in comparison with passive damping and modified Skyhook controller. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：261 / 266
页数：6
相关论文
共 50 条
  • [41] Semi-active suspension adaptive control strategy
    Guo, Kong-Hui
    Yu, Wu-Hui
    Zhang, Xin-Jie
    Ma, Fang-Wu
    Zhao, Fu-Quan
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2013, 40 (02): : 39 - 44
  • [42] Observer design for semi-active suspension control
    Yi, Kyongsu
    Song, Byung Suk
    Vehicle System Dynamics, 1999, 32 (02): : 129 - 148
  • [43] Observer design for semi-active suspension control
    Yi, KS
    Song, BS
    VEHICLE SYSTEM DYNAMICS, 1999, 32 (2-3) : 129 - 148
  • [44] Cloud Aided Semi-Active Suspension Control
    Li, Zhaojian
    Kolmanovsky, Ilya
    Atkins, Ella
    Lu, Jianbo
    Filev, Dimitar
    Michelini, John
    2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN VEHICLES AND TRANSPORTATION SYSTEMS (CIVTS), 2014, : 76 - 83
  • [45] The fuzzy control for the semi-active suspension vehicle
    Guan, Ji-Fu
    Wu, Yun-Peng
    Huang, Hua
    Gu, Liang
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (05): : 1030 - 1033
  • [46] Nonlinear H∞ control for semi-active suspension
    Chassis Adv. Engineering Department, Chassis Eng. Div., Toyota Motor C., Aichi, Japan
    JSAE Rev, 1600, 4 (447-452):
  • [47] Semi-active control devices in structural control implementation
    Xu, JY
    Tang, J
    Li, QS
    STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, 2005, 14 (02): : 165 - 174
  • [48] Robust sliding mode control scheme for vehicle semi-active suspension systems
    Li Yinong
    Zheng Ling
    Zhou Jianli
    Proceedings of the International Conference on Mechanical Transmissions, Vols 1 and 2, 2006, : 1618 - 1622
  • [49] Coordinated Compensation Between Active and Semi-Active Actuators for Suspension Control System
    Jeong, Yonghwan
    Sohn, Youngil
    Chang, Sehyun
    Yim, Seongjin
    IEEE ACCESS, 2022, 10 : 56207 - 56217
  • [50] Second generation approaches to active and semi-active suspension control system design
    Gordon, T.J.
    Palkovics, L.
    Pilbeam, C.
    Sharp, R.S.
    Vehicle System Dynamics, 1994, 23 (SUPPL) : 158 - 171
12345