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作 者:杨洪涛[1,2] 何健 张双双[1,2] 沈梅[1,2] YANG Hongtao;HE Jian;ZHANG Shuangshuang;SHEN Mei(School of Mechanical Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China;Key Laboratory of Intelligent Equipment and Technology in Mines,Anhui University of Science and Technology,Huainan Anhui 232001,China)
机构地区:[1]安徽理工大学机械工程学院,安徽淮南232001 [2]安徽理工大学矿山智能装备与技术安徽省重点实验室,安徽淮南232001
出 处:《安徽理工大学学报(自然科学版)》2022年第5期1-8,共8页Journal of Anhui University of Science and Technology:Natural Science
基 金:国家重点研发计划基金资助项目(2018YFB2001400)。
摘 要:为提升线扫描齿轮测量机的动态响应能力,在传统模糊PI控制的基础上,提出了一种灰狼算法(GWO)和变论域模糊PI相结合的永磁同步电机(PMSM)控制方法,应用灰狼算法和电机控制系统转速误差及误差变化率,实现对模糊PI控制的论域进行实时调节,提升了电机控制算法响应速度和抗干扰能力。设计GWO优化变论域模糊PI调速系统仿真模型,搭建实际实验平台分别进行了控制系统仿真比对实验和三轴滑台动态性能测试实验。实验结果证明,相对于传统PI控制和模糊PI控制,GWO变论域模糊PI算法的响应时间更快,抗干扰能力更强,运行平稳性更佳,能够满足线扫描齿轮测量机的动态响应要求。In order to improve the dynamic response ability of the line scan gear measuring machine,the permanent magnet synchronous motor(PMSM)control method of combining the gray wolf algorithm(GWO)and the variable domain fuzzy PI was proposed on the basis of the traditional fuzzy PI control,in which the speed error and error rate of the gray wolf algorithm and the motor control system were applied to realize the real-time adjustment of the fuzzy PI control domain,improving the response speed and anti-interference ability of the motor control algorithm.The simulation model of GWO optimized variable domain fuzzy PI speed regulation system and the actual experimental platform was designed and built to carry out the control system simulation comparison experiment and the three-axis slide dynamic performance test respectively.Experimental results show that compared with traditional PI control and fuzzy PI control,the GWO variable domain fuzzy PI algorithm has faster response time,stronger anti-interference ability and better running smoothness,which can meet the dynamic response requirements of line scan gear measuring machine.
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