基于改进SRUKF的感应电机直接转矩控制

Direct Torque Control of Induction Motor Based on the Improved SRUKF Algorithm

文中研究了基于H∞鲁棒估计改进SRUKF算法的感应电机无速度传感器直接转矩控制。针对机械传感器结构复杂、可靠性低以及磁链观测精度不高和系统鲁棒性不高等问题,通过将平方根无迹卡尔曼滤波(SRUKF)算法对称采样点变换的统计线性化方法用于非线性H∞滤波的求解,在UKF的基础上提出了H∞鲁棒的平方根UKF算法(HSRUKF)。该算法进一步提高了非线性逼近,能够保证协方差矩阵非负定,避免系统滤波发散,既能提高滤波精度又能达到较好的鲁棒性。在Matlab/Simulink中构建感应电机直接转矩控制系统进行仿真,仿真和实验结果验证了所提方法的可行性和有效性。

Deal with the DTC（direct torque control） of speed sensor-less induction motor based on the H∞ robust SRUKF algorithm. Aiming at the problems of complex structure, low reliability of the mechanical sensor, low observation accuracy of the flux linkage, and low system robustness,the statistical linearization method of the symmetrical root sampling Kalman filter（SRUKF） symmetric sampling point transformation is used to solve the nonlinear H∞ filtering. Based on the UKF, the H∞-based square root UKF algorithm（HSRUKF） is proposed. The algorithm further enhances the nonlinear approximation, ensures non-negative definite covariance matrix, avoids system filter divergence, and can not only improve the filtering accuracy but also achieve better robustness. The direct torque control system of induction motor are constructed in Matlab/Simulink environment. Simulation and experimental results show the feasibility and effectiveness of the proposed algorithm.