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

中文关键词:  集成控制模型  模糊控制规则  PID参数  最大粒子群算法

英文关键词:integrated control model  fuzzy control rules  PID parameters  maximum particle swarm algorithm

中文摘要:

      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。

英文摘要:

      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 integrated control system improves handling stability，steering portability,riding performance and security.