基于滑模观测器的无速度传感器异步电机模型预测控制

Model Predictive Control Besed on Sliding-Mode Observer for Speed Sensorless Asynchronous Motor

模型预测控制是近年来在交流调速领域逐渐受到关注的一种优化控制算法。针对预测控制所需的转速和磁链信息,采用将电机本体输出电流作为参考模型,自适应磁链滑模观测器的输出电流作为可调模型,通过对电流误差设置合适的自适应率,最终辨识出转速。该方案不仅提高了参考模型的精确性,同时将滑模理论应用到磁链观测模型,提高了系统的动态响应和对电机参数的鲁棒性。最后在MATLAB/Simulink环境下搭建了联合仿真模型,仿真结果验证了该方案的可行性。

Model predictive control （MPC） as an optimized control algorithm receiving attention gradually. Aiming at the desired parameters of speed and flux in MPC, proposed an adaptive observer which considering the motor current as reference model, and considering the Sliding Mode adaptive flux observer output current as adjustable model, then Lyapunov principle was applied to derive the speed adaptive algorithm. This method not only improved the precision of speed identification, but also ameliorate the dynamic response of system and parameters robustness. Finally, the speed sensor less MPC simulation model in MATLAB/Simulink environment was established, and the simulation results proved the effectiveness of this strategy.