摘要
磁悬浮轴承具有非线性、数学模型不确定的特点,传统PID控制及模糊PID控制算法不能很好地满足磁悬浮轴承控制系统的要求;针对这个问题,结合变论域的思想方法,提出了变论域模糊PID算法———通过选择合适的伸缩因子实现论域的收缩,即增加了模糊控制规则,从而提高控制精度;在SIMULINK环境中对磁悬浮轴承控制系统进行仿真分析,验证了变论域模糊PID控制算法提高了控制精度,具有更小的超调,更快的调节速度,系统静态性能也有很大的改善。
Magnetic levitating bearing is nonlinear and uncertainty, and the traditional PID control and fuzzy PID control algo- rithm is not good enough to meet the requirements of the magnetic levitating bearing control system. So, based on the idea of varia- ble universe method, this paper puts forward the theory of variable universe fuzzy PID algorithm by selecting the right expansion factor to realize domain contraction, it can increase the fuzzy control rules, so as to improve the control precision. The simulation a- nalysis result of the magnetic levitating bearing control system based on SIMULINK show that the variable universe fuzzy PID algo- rithm improve the control accuracy, the dynamic performance and the static performance.
出处
《仪表技术与传感器》
CSCD
北大核心
2012年第12期144-147,共4页
Instrument Technique and Sensor
关键词
变论域
伸缩因子
SIMULINK仿真
磁悬浮轴承
variable universe
expansion factor
SIMULINK simulation
magnetic levitating bearing
