Research on adaptive inertia identification method for permanent magnet synchronous motor

For small inertia permanent magnet synchronous motor speed control system, it requires inertia identification to be of high precision and fast convergence and has strong robustness to disturbance. A adaptive identification method for the moment of inertia was proposed. The gradient correction parameter identification algorithm was applied to identify the inertia online and Kalman filter was designed to observe the load torque. The coefficient matrix of Kalman filter was updated in real time according to the identified value of inertia. The observed value of load torque was feedback to the terminal of torque current to form feedfoward compensation of load disturbance. Simulation and experimental results show that the online identification results of inertia has faster convergence speed and higher precision, and meanwhile the system has strong disturbance resistance to the changes of inertia and load torque. ©, 2015, Huazhong University of Science and Technology. All right reserved.