摘要
对TSK型模糊控制器进行了结构分析,提出了特征参数法,利用类比法、PID参数整定经验和专家的模糊控制规则,对特征参数进行集合划分,利用遗传算法离线优化法对模糊控制器进行优化。在Matlab/Simulink中建立了遗传算法优化TSK型模糊控制器模型,进行了仿真分析。仿真试验结果表明,经过遗传优化的TSK型模糊控制器能够在助力电动机负载发生变化和噪声干扰时准确、快速地跟踪电动机的目标电流,鲁棒性强,非常适合用于EPS系统的助力电动机电流环的控制。
Structure analysis of TSK fuzzy controllers was performed.The characteristic parameter method was put forward for set partition of the characteristic parameters using analogy method,experience of PID parameter tuning and expert fuzzy control rules.Genetic algorithm off-line optimization was used to optimize the fuzzy controller.The model of GA-optimized TSK fuzzy controller was established and the simulation analysis was performed in Matlab/Simulink.The simulation results demonstrats that GA-optimized TSK fuzzy controller can track the target current of assist motor accurately and quickly with strong robustness during motor load variation and noise disturbance.It is quite suitable for assist motor of electric power steering in current loop control.
出处
《机械设计与制造》
北大核心
2010年第5期91-93,共3页
Machinery Design & Manufacture
基金
国家自然科学基金资助项目(50705008)
关键词
电动助力转向系统
特征参数法
遗传算法
TSK型模糊控制l
Electric power steering system
Characteristic parameter method
Genetic algorithm
TSK fuzzy controll
