LQG Control Method of Gravitational Search Algorithm of
Vehicle Active Suspension

doi:10.3969/j.issn.1674-0696.2020.07.19

Journal of Chongqing Jiaotong University(Natural Science) ›› 2020, Vol. 39 ›› Issue (07): 126-131.DOI: 10.3969/j.issn.1674-0696.2020.07.19

• Vehicle &Electromechanical Engineering • Previous Articles Next Articles

LQG Control Method of Gravitational Search Algorithm of Vehicle Active Suspension

LI Jun1, 2， ZHOU Wei1, 2， ZHANG Shiyi1

(1. School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2 Chongqing Key Laboratory of Rail Vehicle System Integration and Control, Chongqing 400074, China)

Received:2018-12-20 Revised:2019-01-22 Online:2020-07-16 Published:2020-07-21

车辆主动悬架的引力搜索LQG控制方法

李军1，2，周伟1，2，张世义1

(1. 重庆交通大学机电与车辆工程学院，重庆 400074； 2. 轨道交通车辆系统集成与控制重庆市重点实验室，重庆 400074)

作者简介:李军(1964—)，男，重庆人，教授，博士，主要从事发动机排放与控制、新能源汽车和智能车辆与控制方面的研究。E-mail:cqleejun@163.com 通信作者：周伟(1995—)，男，重庆奉节人，硕士研究生，主要从事车辆控制理论及应用方面的研究。E-mail：634142941@qq.com

Abstract

Abstract: In order to solve the problem that the weights of the LQG controller performance index function were not easy to determine, the suspension performance index was used as the objective function, and the LQG optimal control algorithm was applied to control the semi-active suspension. The gravity search algorithm was used to optimize the weight of performance index function, and the optimization controller was built. Finally, an optimization method using the gravity search algorithm was proposed. At the same time, a 2 degree-of-freedom 1/4 active suspension vehicle model was established, and its gravitational search LQG control was simulated and compared with the traditional LQG control results. The results show that the proposed gravitational search LQG control method can improve the ride comfort and steering stability of the vehicle at the same time.

Key words: vehicle engineering, semi-active suspension, LQG control, gravitational search algorithm

摘要： 为了解决LQG控制器性能指标函数各权重不易确定的问题，以悬架性能指标为目标函数，运用了LQG最优控制算法对半主动悬架施加控制，采用了引力搜索算法对性能指标函数权重进行寻优，完成了优化控制器的搭建，最终提出了一种采用引力搜索算法的寻优方法。同时，建立了2自由度1/4主动悬架车辆模型，对其引力搜索LQG控制进行了仿真，并与传统LQG控制结果进行了对比。结果表明：提出的引力搜索LQG控制方法能同时改善汽车的平顺性和操纵稳定性。

关键词: 车辆工程, 半主动悬架, LQG控制, 引力搜索算法

CLC Number:

U467
O319.56

LI Jun1, 2， ZHOU Wei1, 2， ZHANG Shiyi1. LQG Control Method of Gravitational Search Algorithm of Vehicle Active Suspension[J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(07): 126-131.

李军1，2，周伟1，2，张世义1. 车辆主动悬架的引力搜索LQG控制方法[J]. 重庆交通大学学报（自然科学版）, 2020, 39(07): 126-131.

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LQG Control Method of Gravitational Search Algorithm of Vehicle Active Suspension

车辆主动悬架的引力搜索LQG控制方法

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