CAJ | 학술논문

针对永磁直线同步电机(PMLSM)伺服系统易受到负载扰动、参数变化和推力波动的问题,为确保在较宽的速度范围内实现更为精确的速度控制,采用基于神经网络推力观测器的滑模控制取代常规的PI控制,滑模变结构控制律采用等效控制法,加上负载扰动前馈补偿项,而扰动补偿则是通过线性推力观测器并联一个神经网络观测器相加而得.实验和仿真结果表明,此方法较常规PI控制提高了跟踪性能,增强了伺服系统对参数摄动和外在扰动的稳健性.
침대영자직선동보전궤(PMLSM)사복계통역수도부재우동、삼수변화화추력파동적문제,위학보재교관적속도범위내실현경위정학적속도공제,채용기우신경망락추력관측기적활모공제취대상규적PI공제,활모변결구공제률채용등효공제법,가상부재우동전궤보상항,이우동보상칙시통과선성추력관측기병련일개신경망락관측기상가이득.실험화방진결과표명,차방법교상규PI공제제고료근종성능,증강료사복계통대삼수섭동화외재우동적은건성.
Aiming at the permanent magnet linear synchronous motor servo system is vulnerable to load disturbance, parameters change and thrust fluctuations, the sliding mode control based on neural network thrust observer instead of the regular proportion integration(PI) was indicated to ensure that it achieves a more precise speed control with a wide range of speed. Sliding mode control regular adopts the equivalent control way, together with the load disturbance feed-forward compensation, and it is consist of linear observer and neural network observer. Experiment and simulation results show that it can improve the tracking perform-ance, and enhance the stability and robustness of parameter perturbation and external disturbances.