基于MRAS观测器的永磁同步电机模型预测控制

Model Predictive Control for Permanent Magnet Synchronous Motor Based on MRAS Observer

针对无人艇、小型船舶等水面智能设备的推进系统提出采用无位置传感器技术以提高其系统容错性,并且针对传统的基于模型参考自适应(MRAS)观测器的永磁同步电机无位置传感器伺服控制系统引入模型预测控制(MPC)来提高调速系统的性能。在基于SVPWM控制方式的永磁同步电机伺服控制系统中,通过MRAS观测器来估算永磁同步电机的转速,利用MPC控制器来替代传统PI速度控制器。为了验证本文策略的有效性,在Matlab/Simulink环境下建立了一个基于上述控制策略的完整系统的仿真模型。仿真结果表明,该系统不仅克服了传统的基于(MRAS)观测器的永磁同步电机无位置传感器调速系统中超调量大、PI参数难以整定的缺点,而且有效地降低了转矩脉动、提高了系统的动态性能和抗干扰能力。

Sensorless technology was put forward to be applied to the propulsion part of the water smart device such as unmanned crafts and small vessels so that it can enhance the fault tolerance of the system, model predictive control（MPC） was introduced to the traditional sensorless control of permanent magnet synchronous motor system which was based on the model reference adaptive system（MRAS） observer to improve the speed regulating performance as well. Under the permanent magnet synchronous motor servo control system which is based on SVPWM control method, it can estimate the speed of the permanent magnet synchronous motor through the MRAS observer and use the MPC controller to replace the traditional PI speed controller. In order to verify the effectiveness of the strategy, asimulation model of the control strategy of complete system was set up under the environment of Matlab/Simulink. Simulation results show that the system can not only overcome the shortcomings of large overdamping and setting PI parameters difficultly, but also it can reduce the torque ripple effectively and improve the dynamic performance and anti-interference ability of the system.