测控技术2018，Vol.37Issue(5)：42-45,50,5.
永磁同步电机神经网络调速系统的研究
Research on Neural Network Control System of Permanent Magnet Synchronous Motor
摘要
Abstract
In order to improve the dynamic performance of the permanent magnet synchronous motor(PMSM) under the complicated conditions of gearless traction of elevator,while satisfying the performances of rapidity and comfort,and having strong robustness and stability under frequent load changes,the CMAC network control be applied to the PMSM control system in the elevator industry is proposed.The dynamic model of PMSM was established,and the simulation system was built,in which the current inner loop was controlled by the internal mode and the speed outer loop was controlled by the CMAC network,as well as the simulation experiment was compared with the traditional PI control mode.The results show that the dynamic performance,disturbance restraint performance and robust performance of the system are significantly improved.According to the elevator acceleration requirement,the velocity parabola of the elevator operation is tracked,and the conclusion is verified that the steady-state accuracy of this system has been gradually improved in the learning and memory capabilities of the CMAC neural network.关键词
永磁同步电机/CMAC神经网络/电梯无齿曳引/动态性能Key words
permanent magnet synchronous motor/CMAC neural network/gearless traction of elevator/dynamic performance分类
建筑与水利引用本文复制引用
赵立鑫,谢卫,黄泽森..永磁同步电机神经网络调速系统的研究[J].测控技术,2018,37(5):42-45,50,5.基金项目
国家自然科学基金青年科学基金项目(61503242) （61503242）
上海海事大学研究生学术新人培育计划项目(YXR2017051) （YXR2017051）
上海海事大学研究生创新基金资助项目(2017ycx047) （2017ycx047）
