摘要
应用模糊逻辑控制理论,进行了车辆主动悬架模糊控制器的设计,并利用遗传算法对模糊控制的控制规则进行了优化。利用Matlab/Simulink对主动悬架系统进行了仿真,并与传统的被动悬架和用LQG控制的主动悬架进行了性能比较和分析,仿真结果表明具有模糊控制器的主动悬架能够有效提高车辆的平顺性和操纵稳定性,且具有较好的适应性和鲁棒性。
The fuzzy logic theory was proposed to design the fuzzy logic controller of the active suspension. The fuzzy control rule of the controller was optimized by the genetic algorithm, The active suspension system with fuzzy logic controller was simulated by Matlab/Simulink and the simulation results were compared with the conventional passive suspension and the active suspension with a LQG controller. The simulation results demonstrate that the suspension with the fuzzy logic controller can effectively improve vehicle＇s riding performances and handling performance.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第18期4178-4181,共4页
Journal of System Simulation
基金
中国博士后科学基金(2004036396)
关键词
主动悬架
模糊控制
遗传算法
仿真
active suspension
fuzzy logic control
genetic algorithm
simulation
