支持向量机预测可变参数的永磁同步电机快速终端滑模控制

A Fast Terminal Sliding Mode Control of Permanent Magnet Synchronous Motor with Variable Parameters Predicted by SVM

针对永磁同步电机传统滑模控制的调速性能受到电机系统状态变量变化的影响,提出了一种采用支持向量机智能预测永磁同步电机可变参数非奇异快速终端滑模控制策略。首先设计了一种快速收敛的新型可变参数非奇异快速终端滑模面,该滑模面实现了全局快速收敛且消除了奇异现象并且滑模参数随系统状态改变,实现了不同系统状态下,永磁同步电机可以始终保持优异的调速性能;然后,引入支持向量机智能算法对滑模面状态变量参数建模,实现滑模面状态变量参数根据电机系统状态在线调整;最后,采用角速度与q轴定子参考电流二阶模型来设计永磁同步电机可变参数非奇异快速终端滑模速度控制器以减小模型误差。数值仿真结果表明:采用支持向量机建立的滑模面状态变量参数预测模型能够根据电机系统参数变化预测得到滑模面状态变量参数最优值;所提出的可变参数非奇异快速终端滑模控制策略与非奇异快速终端滑模控制策略相比,控制性能不受电机参数变化的影响,具有收敛速度快、鲁棒性好、转速超调小、控制精度高等优点。

A novel non-singular fast terminal sliding mode(VNFTSM)control strategy of permanent magnet synchronous motor(PMSM)using support vector machine to intelligently predict its variable parameters is proposed to solve the problem that the speed regulation performance of the traditional sliding mode control of PMSM is affected by the change of the state variable of the motor system.Firstly,a new type of non-singular fast terminal sliding mode surface with fast convergent variable parameters is designed.The sliding mode surface achieves global fast convergence and eliminates the singularity phenomenon.The sliding mode parameters change with the system state,so that the permanent magnet synchronous motor can always maintain excellent speed regulation performance under different system states.Then,a support vector machine(SVM)intelligent algorithm is used to model the state variable parameters of the sliding mode surface,and the state variable parameters of the sliding mode surface can be adjusted online according to the state of the motor system.Finally,a variable parameter non-singular fast terminal sliding mode speed controller of PMSM is designed by using the second-order model of angular velocity and q-axis stator reference current to reduce the model error.Numerical simulation results show that the parameter prediction model of the sliding mode surface state variable parameters established by support vector machine predicts the optimal values of the state variable parameters of the sliding mode surface according to the changes of the motor system parameters.Compared with the traditional NFTSM control,the control performance of the proposed VNFTSM control scheme is not affected by the change of motor parameters,and has the advantages of fast convergence speed,high robustness,small speed overshoot,and high control accuracy.