CAJ | 학술논문

基于逆系统控制的思想，针对无刷直流电机系统的非线性、强耦合以及不确定因素等提出了一种逆模型智能控制方法。该方法利用小脑模型关节控制器实现无刷直流电机的逆动态模型，与原系统模型构成线性系统，获得较传统PID控制更理想的动静态性能，有效克服各种复杂因素的影响。该方法响应快速、无超调、抗扰能力和鲁棒性强，可显著提高实时跟踪能力和控制精度。仿真证明了该方法的有效性，为无刷直流电机控制提供了一种新途径。
기우역계통공제적사상，침대무쇄직류전궤계통적비선성、강우합이급불학정인소등제출료일충역모형지능공제방법。해방법이용소뇌모형관절공제기실현무쇄직류전궤적역동태모형，여원계통모형구성선성계통，획득교전통PID공제경이상적동정태성능，유효극복각충복잡인소적영향。해방법향응쾌속、무초조、항우능력화로봉성강，가현저제고실시근종능력화공제정도。방진증명료해방법적유효성，위무쇄직류전궤공제제공료일충신도경。
Based on the idea of inverse system control, an inverse model intelligent control approach was proposed for brushless DC motor( BLDCM) system of nonlinear, strong coupling and uncertain factors. The approach uses the cerebellar model articulation controller ( CMAC ) to realize the inverse dynamic model of brushless DC motor, and a linear system constructed with the original system model, to obtain more ideal than traditional PID control in dynamic and static performance. It can effectively overcome the influence of various complex factors. This method has the characteristics of rapid response, no overshoot and immunity ability and strong robustness. The proposed control method can significantly improve the real-time tracking ability and control accuracy. The simulation and experimental results showed that the effectiveness of the method, then provides a new way for brushless DC motor control.