摘要
针对EMS型磁悬浮列车悬浮系统的非线性、迟滞性及模型不确定的特点,本文采用了模糊自适应整定PID控制技术来满足其对动态和静态性能的要求。仿真结果表明模糊自适应整定PID控制器学习精度高、收敛速度快、在系统同时存在磁悬浮系统参数的变化和负载扰动时.具有较强的鲁棒性和抗干扰能力。
Aiming at the characteristics of nonlinearity, hysteresis and uncertain model in EMS （electromagnet suspension system） of maglev vehicle, parameter self-tuning fuzzy PID algorithm is adopted to satisfy the requirements of static and dynamic performance in this paper. The simulation results demonstrate that this fuzzy self-adapting PID controller is more precise and less time-consuming for convergence, when uncertain parameters and disturbances exist at the same time, the system owns better robust and stronger antiinterference.
出处
《微计算机信息》
北大核心
2008年第19期54-56,共3页
Control & Automation
