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立体车库搬运器双电机同步控制算法的研究与分析
引用本文:蒋雨洋,张礼华,掌俊玮,李晨洁,李家富. 立体车库搬运器双电机同步控制算法的研究与分析[J]. 微电机, 2021, 0(5): 86-94
作者姓名:蒋雨洋  张礼华  掌俊玮  李晨洁  李家富
作者单位:(江苏大学 机械工程学院,江苏 镇江 21203)
摘    要:立体车库搬运器作为立体车库的重要组成装置可实现存取过程中的升降与旋转功能,因此提高双电机同步控制系统的控制精度对车库整体性能的提高具有重要意义.针对在传统PI控制算法下运行的双电机同步控制系统存在的主从电机响应曲线误差大、控制补偿能力弱等问题,联合三角形隶属度函数提出了一种适用于立体车库搬运器双电机同步控制系统的分级自...

关 键 词:永磁同步电机  同步控制  分级式  自适应Fuzzy-PI

Research and Analysis of Dual Motor Synchronous Control Algorithm for Stereo Garage Transporters
JIANG Yuyang,ZHANG Lihua,ZHANG Junwei,LI Chenjie,LI Jiafu. Research and Analysis of Dual Motor Synchronous Control Algorithm for Stereo Garage Transporters[J]. Micromotors, 2021, 0(5): 86-94
Authors:JIANG Yuyang  ZHANG Lihua  ZHANG Junwei  LI Chenjie  LI Jiafu
Affiliation:(School of Mechanical Engineering, Jiangsu University of Science and Technology,Jiangsu Zhenjiang, 212003,China)
Abstract:As an important component device of a three-dimensional garage, the three-dimensional garage transporter can realize the lifting and rotating functions in the access process. Therefore, it is of great significance to improve the control accuracy of the dual-motor synchronous control system to improve the overall performance of the garage. Aiming at the problems of large response error of the master-slave motor and weak control compensation ability in the dual motor synchronous control system operating under the traditional PI control algorithm, a dual motor synchronous control suitable for the three-dimensional garage transporter was proposed in conjunction with the triangle membership function The system’s hierarchical adaptive Fuzzy-PI algorithm, and Simulink is used to establish a simulation model of a dual-motor synchronous control system with PMSM as the control object. The simulation results show that the improved hierarchical adaptive Fuzzy-PI algorithm greatly improves the dynamic adjustment ability and synchronization response accuracy of the speed and torque of the master and slave motors.
Keywords:permanent magnet synchronous motor  Synchronous control  Graded type  Adaptive Fuzzy-PI
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