吉林大学学报(理学版) ›› 2020, Vol. 58 ›› Issue (3): 659-665.

• 计算机科学 • 上一篇    下一篇

无刷直流电机转速智能混合控制器设计

王婷婷1, 胡黄水1, 赵宏伟2, 王出航3   

  1. 1. 长春工业大学 计算机科学与工程学院, 长春 130012; 2. 吉林大学 计算机科学与技术学院, 长春 130012; 3. 长春师范大学 计算机科学与技术学院, 长春 130032
  • 收稿日期:2019-06-17 出版日期:2020-05-26 发布日期:2020-05-20
  • 通讯作者: 胡黄水 E-mail:huhs08@163.com

Design of Intelligent Hybrid Controller for Speed of Brushless DC Motor

WANG Tingting1, HU Huangshui1, ZHAO Hongwei2, WANG Chuhang3   

  1. 1. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;3. School of Computer Science and Technology, Changchun Normal University, Changchun 130032, China
  • Received:2019-06-17 Online:2020-05-26 Published:2020-05-20
  • Contact: HU Huangshui E-mail:huhs08@163.com

摘要: 提出一种传统PI(比例积分)结合自适应模糊PID(比例积分微分)的智能混合控制器, 以提高无刷直流电机转速跟踪和动态适应能力. 该控制器通过开关函数根据转速误差在稳态的PI控制器和瞬态的自适应模糊PID控制器之间灵活切换. 自适应模糊PID包含两级模糊逻辑控制器: 一级模糊逻辑控制器自适应调节PID增益; 二级逻辑模糊控制器对一级模糊逻辑控制器的缩放因子自动调节. 在MATLAB/Simulink环境下进行仿真测试, 测试结果表明, 相比于传统PID和模糊PID控制器, 智能混合控制器在各种条件下的转速响应、 稳态误差和超/欠调量等均有较大改善, 表明其具有更好的鲁棒性、 抗干扰性和动态适应能力.

关键词: 无刷直流电机, 智能混合控制器, 自适应模糊PID

Abstract: We proposed an intelligent hybrid controller based on traditional PI and adaptive fuzzy PID (proportion integration differentiation) to improve the speed tracking and dynamic adaptability of brushless direct current motor. The controller switched flexibly between the steadystate PI controller and the transient adaptive fuzzy PID controller according to the speed error through the switching function. The adaptive fuzzy PID controller included two levels of fuzzy logic controllers, the firstlevel fuzzy logic controller adaptively adjusted the PID gain, and the secondlevel fuzzy logic controller automatically adjusted the scale factor of the firstlevel fuzzy logic controller. The simulation tests were carried out in
the MATLAB/Simulink environment. The test results show that compared with traditional PID and fuzzy PID controllers, the speed response, steadystate error and overshoot/undershoot of the intelligent hybrid controller under various conditions are greatly improved,
 indicating that it has better robustness, antiinterference and dynamic adaptability.

Key words:  , brushless direct current motor, intelligent hybrid controller, adaptive fuzzy PID

中图分类号: 

  • TP273