永磁同步电机自抗扰调速鲸鱼优化改进算法

Improved Whale Optimization Speed Regulation Algorithm of Auto Disturbance Rejection Control for Permanent Magnet Synchronous Motor

自抗扰调速算法广泛应用于永磁同步电机调速系统,但影响自抗扰控制品质的参数众多,这导致传统优化算法不易获得足够理想的参数优化整定效果。此外,传统自抗扰控制的最优控制函数存在着在分段点处不可求导的缺陷,其会导致系统出现抖振现象。在原有最优控制函数的基础上引入了反双曲正弦函数、三角函数与二次函数,并采用拟合法构造出一种新型最优控制函数;基于折射原理的寻优机制,提出了一种鲸鱼优化算法并将其应用于自抗扰控制参数优化整定。由Matlab/Simulink仿真实验的对比分析表明,相比于传统控制策略,所提出的改进的自抗扰调速算法具有更佳的控制品质,其能够有效降低转速与转矩的抖振程度。

Auto disturbance rejection control(ADRC)strategy is widely used in speed regulation system of permanent magnet synchronous motor.However,there are many parameters about the quality of ADRC.It is difficult to obtain enough ideal optimization parameters using traditional optimization algorithm.In addition,the optimal control function of traditional ADRC has the defect that it can't be derived at the segment point,which will lead to the chattering phenomenon of the system.Based on the original optimal control function,inverse hyperbolic sine function,trigonometric function and quadratic function are introduced,and a new optimal control function is constructed by fitting method.Based on the optimization mechanism of refraction principle,an improved whale optimization algorithm is proposed and applied to the optimal tuning of ADRC parameters.The comparative analysis of Matlab/Simulink simulation experiments shows that compared with the traditional control strategies,the proposed improved ADRC speed regulation algorithm has better control quality,and it can effectively reduce the chattering degree of speed and torque.