摘要
针对传统PID控制及模糊控制在永磁同步直线电机(PMLSM)控制上的不足,针对直线电机易受参数扰动的特点提出了基于模糊自寻优控制的算法,减少了对模型的依赖。并使用GA算法对模糊算法中的参数进行自寻优整定,使电机能够一定程度的减少自身模型变化带来的影响,提高了控制效果。最后通过Matlab仿真对PMLSM传统PID速度控制与模糊参数自寻优速度控制进行比较,结果表明模糊参数自寻优控制效果优于传统PID控制。
Focusing on the shortage of PID control and fuzzy control for permanent magnetic linear synchronous motor（PMLSM ）,an algorithm based on fuzzy adaptive optimizing control is put forward specific to the characteristics of senshive to parameters disturbances of the linear motor to reduce the dependence on the model.Then the parameter is set with adaptive optimizing by using GA algorithm to reduce the im- pact of changing of the motor model on the motor to a certain degree and enhance the control effect.Finally, through Matlab simulation, traditional PID speed control for the PMLSM shall be compared with fuzzy pa- rameters adaptive optimizing speed control,which results show that the fuzzy parameters adaptive optimizing control is better than traditional PID control.
出处
《机械设计与制造》
北大核心
2011年第12期107-108,共2页
Machinery Design & Manufacture
基金
国家科技重大专项(2009ZX04001-013-04)
