摘要
针对普通的无刷直流电动机控制策略受电动机本身因素影响,难以达到理想效果的问题,介绍了一种积分反演自适应滑模变结构控制和模糊控制相结合的控制器。该控制器在滑模面中加入积分项,实现了对速度信号的无静差跟踪,提高了系统的稳态精度;用模糊控制器来解决切换控制增益设定只能靠经验的问题;采用模糊控制算法对不确定性进行估计,有效地减小了滑模控制方法带来的抖振;为了进一步提高控制性能,重新设计了趋近律。仿真结果表明,该控制器能够大幅提升无刷直流电动机控制系统的性能。
In view of problem that general control strategies of brushless DC motor are difficult to achieve desired effect affected by motor itself, the paper introduced a controller combined with integral inversion adaptive sliding mode variable structure control and fuzzy control. The controller adds integral term to sliding surface to realize tracking without static error, and improves steady precision of control system. It uses fuzzy controller to solve the problem that gain setting of switching control can only rely on experience, and estimates uncertainty by fuzzy control algorithm, which effectively reduces chattering brought by sliding mode control method. Reaching law was redesigned to further improve control performance. The simulation results show that the controller can significantly improve performance of control system of brushless DC motor.
出处
《工矿自动化》
北大核心
2014年第3期64-69,共6页
Journal Of Mine Automation
基金
内蒙古自治区高等学校科学研究项目(NJZY12104)
关键词
无刷直流电动机
积分反演控制
滑模变结构
自适应控制
模糊控制
brushless DC motor
integral inversion control
sliding mode variable structure
adaptive control
fuzzy control
