摘要
永磁直线同步电机广泛应用于高精度伺服控制系统,负载扰动、非线性、耦合以及推力纹波影响其伺服性能,传统PID控制难以实现良好的控制品质,需要先进的控制手段和补偿措施。小脑模型神经网络能实时进行模型逼近,给出了小脑模型神经网络CMAC概念映射和实际映射的具体实现过程,分析了永磁直线同步电机的数学模型,构建了以PID为反馈控制,以CMAC为前馈控制的永磁直线同步电机复合控制系统。通过MATLAB仿真环境可知,该系统可有效实现被控对象的逆动态模型,具有很强的鲁棒性。
Permanent magnet linear synchronous motor（PMLSM）is widely used in high precision servo control system for its own advantages,while its load disturbance,nonlinearity,parameter variations and detent force generated from the magnetic attraction may affect the servo performance which is not easy to achieved with traditional PID control,but advanced control means and compensation should be required.Cerebellum model articulation controller（CMAC）is suitable for real time system control in which identification and the conceptual mapping and physical mapping process of CMAC is provided,the mathematical model of PMLSM is analyzed as well.The compound control system with PID as feedback control and CMAC as feed forward control is constructed.The simulation made by MATLAB shows that the system can realize inverse dynamic model and robust control.
出处
《机械设计与制造》
北大核心
2011年第5期132-134,共3页
Machinery Design & Manufacture
基金
河南省教育厅自然科学研究资助项目(2008A510014)
