基于自适应Super-twisting算法的永磁同步电机驱动控制
An adaptive Super-twisting algorithm for permagnetic synchronous motor drives
林锡坚 1张剑波 1许元威 1洪俊杰1
作者信息
摘要
在永磁同步电机调速系统中,良好的速度控制器要同时兼顾跟踪性能及抗干扰性能,非线性控制具有快速响应及强鲁棒性的优点,适用于速度控制器的设计,但传统滑模控制存在着严重的抖振问题.自适应Super-twisting算法属于二阶滑模,能将相轨迹的状态量以级数的形式收敛到原点,又能在线调整控制器的增益,因此能有效削弱抖振现象.采用自适应Super-twisting算法来设计速度控制器,并通过李雅普诺夫函数给出其稳定性证明.试验结果表明,所设计的控制器具有良好的跟踪性能及抗干扰性能,同时能减小电流的纹波,达到削弱抖振的目的.
Abstract
In the permanent magnet synchronous motor(PMSM)regulation system,an excellent speed controller should have both tracking performance and anti-disturbance performance.With the advantages of fast response and strong robustness,nonlinear control is more suitable for the design of speed controller,but the traditional sliding mode control(SMC)has serious chattering problem.The adaptive Super-twisting algorithm belongs to a second-order SMC,as it could enable to converge the state variables of the phase trajectory to the origin in a series form,and adjust the controller gain online,so chattering could be effectively weakened.An adaptive Super-twisting algorithm is used to design the speed controller,and its stability is proved by the Lyapunov function.The experimental results show that the proposed controller has good tracking performance and anti-disturbance performance,and can reduce the current rippleto weaken chattering.
关键词
永磁同步电机/自适应Super-twisting算法/抖振/跟踪性能/抗干扰性能Key words
permagnetic synchronous motor/adaptive Super-twisting algorithm/chattering/tracking performance/noiseproof feature引用本文复制引用
出版年
2024
NETL
NSTL
万方数据