Hybrid Model Predictive Control of Semi-Active Suspension with Variable Damping Shock Absorber

doi:10.7652/xjtuxb201711022

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Hybrid Model Predictive Control of Semi-Active Suspension with Variable Damping Shock Absorber

更新时间：2025-07-09

- Hybrid Model Predictive Control of Semi-Active Suspension with Variable Damping Shock Absorber
- Vol. 51, Issue 11, Pages: 156-164(2017)
- 作者机构：
  
  同济大学汽车学院,上海,201804
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201711022
  CLC： U463.33
- Online First：10 November 2017，
  
  Published：2017
- 稿件说明：
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Hybrid Model Predictive Control of Semi-Active Suspension with Variable Damping Shock Absorber[J]. 2017, 51(11): 156-164.
DOI：

Hybrid Model Predictive Control of Semi-Active Suspension with Variable Damping Shock Absorber[J]. 2017, 51(11): 156-164. DOI： 10.7652/xjtuxb201711022.

摘要

为协调汽车阻尼连续可调半主动悬架舒适性和操稳性之间的矛盾

并考虑减振器阻尼力须满足的非线性约束条件

研究了一种适用于半主动悬架的混杂模型预测控制方法

包括建立半主动悬架单轮车辆模型

提出综合描述舒适性和操稳性的悬架优化控制目标函数及半主动悬架须满足的非线性约束条件。利用混合逻辑动态建模方法描述半主动悬架混杂系统模型

基于模型预测控制理论研究半主动悬架混杂系统的有限时域优化控制问题。为便于问题求解

将非线性约束优化问题转化为包含实值变量和二值变量的混合整数二次规划问题

并借助分支定界算法进行求解。在随机路面和正弦波突起路面进行仿真验证后表明

所提混杂模型预测方法明显优于被动悬架和传统线性二次型调节器算法

能有效提高阻尼可调半主动悬架的综合性能

并在不同的路面输入激励和车速下均能取得较好的控制效果。

Abstract

To coordinate the contradiction between ride comfort and handling stability of damping continuously variable semi-active suspension

and considering the satisfied nonlinear constraints for damping force

a hybrid model predictive control algorithm for semi-active suspension is proposed. A single wheel model of semi-active suspension is established

and the optimal objective function that comprehensively determines comfort and stability and the satisfied nonlinear constraints for semi-active suspension are put forward. The semi-active suspension hybrid system is described with mixed logic dynamic modeling method. A finite-horizon optimal control problem of semi-active suspension is set up following model predictive control theory. For the convenience of solving

the nonlinear constrained optimization problem can be transformed into a mixed integer quadratic programming one including real and binary vectors

and solved by means of branch and bound algorithm. The simulations on random profile and single sine wave bump pavement show that the proposed hybrid model predictive control algorithm improves the comprehensive performance of damping continuously variable semi-active suspension system effectively compared with passive suspension and the traditional linear quadratic regulator algorithm

and better control performance is realized under different road input excitations and at different vehicle speeds.

关键词

Keywords

references

TSENG H E, HROVAT D. State of the art survey: active and semi-active suspension control [J]. Vehicle System Dynamics, 2015, 53(7): 1-29.

陈龙, 喻力, 崔晓利. 阻尼多状态切换减振器的性能仿真与试验 [J]. 江苏大学学报(自然科学版), 2013, 34(3): 249-253.

CHEN Long, YU Li, CUI Xiaoli. Performance simulation and testing of multi-levels-damping adjustable hydraulic shock absorber [J]. Journal of Jiangsu University(Natural Sciences), 2013, 34(3): 249-253.

李罡, 张晗, 王彧, 等. 基于电磁阀式阻尼连续可调减振器的半主动悬架试验研究 [J]. 汽车技术, 2016(9): 35-38

LI Gang, ZHANG Han, WANG YU, et al. Test research on semi-active suspension based on solenoid-actuated damping continuously variable shock absorber [J]. Automobile Technology, 2016(9): 35-38.

HONG K S, SOHN H C, HEDRICK K J. Modified skyhook control of semi-active suspensions: a new model, gain scheduling, and hardware-in-the-loop tuning [J]. Journal of Dynamic Systems Measurement Control, 2002, 124(1): 158-167.

SAVARESI S M, SPELTA C. Mixed sky-hook and ADD: approaching the filtering limits of a semiactive suspension [J]. Journal of Dynamic Systems Measurement Control, 2007, 129(4): 382-392.

UNGER A, SCHIMMACK F, LOHMANN B, et al. Application of LQ-based semi-active suspension control in a vehicle [J]. Control Engineering Practice, 2013, 21(12): 1841-1850.

杨柳青, 陈无畏, 高振刚, 等. 基于电磁阀减振器的1/4车辆半主动悬架非线性控制 [J]. 农业机械学报, 2014, 45(4): 1-7.

YANG Liuqing, CHEN Wuwei, GAO Zhengang, et al. Nonlinear control of quarter vehicle model with semi-active suspension based on solenoid valve damper [J]. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(4): 1-7.

郭孔辉, 余五辉, 章新杰, 等. 自适应半主动悬架系统控制策略 [J]. 湖南大学学报(自然科学版), 2013, 40(2): 39-44.

GUO Konghui, YU Wuhui, ZHANG Xinjie, et al. Semi-active suspension adaptive cruise control strategy [J]. Journal of Hunan University(Natural Sciences), 2013, 40(2): 39-44.

严天一, 闫海敬, 侯兆萌, 等. 车辆半主动悬架粒子群模糊混合控制策略 [J]. 农业机械学报, 2013, 44(8): 1-7.

YAN Tianyi, YAN Haijing, HOU Zhaomeng, et al. PSO-fuzzy-hybrid control strategy of semi-active suspensions [J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(8): 1-7.

黄昆, 喻凡, 张勇超. 电磁式主动悬架模型预测控制器设计 [J]. 上海交通大学学报, 2010, 44(11): 1619-1624.

HUANG Kun, YU Fan, ZHANG Yongchao. Model predictive controller design for electromagnetic active suspension [J]. Journal of Shanghai Jiaotong University, 2010, 44(11): 1619-1624.

GIORGETTI N, BEMPORAD A, TSENGZ H E, et al. Hybrid model predictive control application towards optimal semi-active suspension [J]. International Journal of Control, 2006, 79(5): 391-398.

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 [J]. Annual Reviews in Control, 2012, 36(1): 148-160.

喻凡, 林逸. 汽车系统动力学 [M]. 北京: 机械工业出版社, 2005: 196-197.

LABINAZ G, BAYOUMI M M, RUDIE K. Modeling and control of hybrid systems: a survey [J]. Annual Reviews in Control, 2000, 21(97): 79-92.

BEMPORAD A, MORARI M. Control of systems integrating logic, dynamics, and constraints [J]. Automatica, 1999, 35(3): 407-427.

TORRISI F D, BEMPORAD A. HYSDEL: a tool for generating computational hybrid models for analysis and synthesis problems [J]. IEEE Transactions on Control Systems Technology, 2004, 12(2): 235-249.

张亮修, 吴光强, 郭晓晓. 车辆多目标自适应巡航控制算法 [J]. 西安交通大学学报, 2016, 50(11): 136-143.

ZHANG Liangxiu, WU Guangqiang, GUO Xiaoxiao. Vehicular multi-objective adaptive cruise control algorithm [J]. Journal of Xi'an Jiaotong University, 2016, 50(11): 136-143.

FLOUDAS C A. Nonlinear and mixed-integer optimization: fundamentals and applications [M]∥ Handbook of Turbulence. Berlin, Germany: Springer, 2000: 822-823.

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