基于遗传算法和LQG控制的汽车半主动悬架结构和控制参数的集成优化研究

Integrated Optimization of Structure and Control Parameters for an Automotive Semi-active Suspension System Based on Genetic Algorithm and LQG Control

传统半主动悬架的设计是先设计其结构参数后设计其控制器参数,这样易造成系统失去全局最优性能。针对这一问题,本文提出一种基于遗传算法和LQG控制的集成优化半主动悬架结构参数和控制参数的方法,通过理论分析和仿真结果表明此方法与传统优化方法相比,对改善汽车行驶平顺性和提高汽车行驶安全性具有较优的效果。

The traditional design method of automotive semi-active suspension system is always to decide control parameters following structure parameters design, which can not obtain the global optimum performances for the system. This paper presents an approach to design the parameters of the vehicle semi-active suspension system by integrative its structure and control parameters based on genetic algorithm and LQG,for the effectiveness of the proposed integrated optimization method to improve riding and safety performance was proved by simulation studies.