A Novel Inertia Identification Method for PMSM Servo System Based on Improved Particle Swarm Optimization

Abstract

In order to satisfy the requirements of PMSM servo system high performance control, this paper proposes a novel inertia identification method, which uses the improved particle swarm optimization (PSO) algorithm, and this method can estimate both the moment of inertia and load torque. With the sampled discrete date of motor speed and q-axis current, based on the minimum variance principle, the convex function is established as the fitness function. The range of the load torque and the moment of inertia are taken as the 2-dimensional optimization space, and the optimal solution is obtained by the improved PSO algorithm. Then, the convergence point is the identification result. The results in simulation show that, the presented approach can identify simultaneously the moment of inertia and the load torque, and it has a higher precision and the excellent robustness.