基于最大粒子群算法的汽车主动悬架与EPS集成控制  

Integrated Control of Vehicle Active Suspension and EPS Based on Maximum Particle Swarm Algorithm

作　　者：戴亦宗[1] 陈龙[2] 

机构地区：[1]扬州职业大学电气与汽车工程学院,江苏扬州225009 [2]江苏大学汽车与交通工程学院,江苏镇江212000

出　　处：《测控技术》2014年第4期70-74,共5页Measurement & Control Technology

基　　金：国家自然科学基金资助项目(50275064)

摘　　要：在分析了EPS与悬架这两个子系统之间相互影响和协调关系的基础上,建立了转向工况下主动悬架与EPS系统模型,提出了基于最大粒子群算法的模糊/PID集成控制策略。根据实际系统的变化情况,模糊控制规则及PID运行参数通过最大粒子群算法进行优化。仿真结果表明,相对于不加控制的悬架和转向系统,汽车的行驶平顺性、操纵稳定性和安全性均得到了提高。Active suspension under the steering situation and EPS model are established based on the analysis on the interaction and coordination between the EPS and suspension model. An integrated control strategy of PID/fuzzy control based on the maximum particle swarm algorithm is suggested. According to the changes of the actual system, the fuzzy rules and PID parameters are optimized by the maximum particle swarm algorithm. The simulation results indicate that, compared to the uncontrolled suspension and steering system, the integrat- ed control system improves handling stability, steering portability, riding performance and security.

关 键 词：集成控制模型 模糊控制规则 PID参数 最大粒子群算法 

分 类 号：U461.4[机械工程—车辆工程]