基于惯量辨识的永磁同步电机自适应反推控制

Adaptive back-stepping control of permanent magnet synchronous motor based on inertia identification

由于永磁同步电机系统具有非线性、强耦合、多变量的特点,且易受内部参数变化、负载扰动的影响,为保证系统调速过程的快速性和准确性,设计了一种基于惯量辨识的自适应反推控制调速方法。首先,采用自适应算法对定子电阻、黏性摩擦和负载转矩进行实时估计;其次,利用基于惯量辨识的自适应反推控制方法,减小工业控制中转动惯量对电机调速系统的影响;最后,进行了仿真验证。结果表明,与传统的PI和传统的自适应反推法相比,基于惯量辨识的自适应反推控制方法具有最优的转速跟踪性能和抗干扰能力。

Aiming at the nonlinear,strong coupling,the multivariable and characteristic due to the internal parameters change and the load disturbances of permanent magnet synchronous motor,it introduces an adaptive back-stepping control speed regulation method based on inertia identification to ensure the rapidity and accuracy of the speed regulating system. Firstly,an adaptive algorithm is employed to estimate the stator resistance,viscous friction and load torque. Secondly,considering the significance of inertia change in industrial control for motors,the inertia identification method is introduced to guarantee the dynamic performance and the stability of the whole system; Finally,the simulation results show that the proposed inertia identification based adaptive back-stepping control method has the best speed tracking performance and anti-disturbance ability compared with the traditional PI and the adaptive back-stepping methods.