Estimation of the parameters of the servo drive system using Particle Swarm Optimization algorithm

Most modern industrial or military servo drive application uses Proportion Integral (PI) cascade control structure. The PI gains are highly dependent on the inertia and viscous damping of the drive system, which is impossible to acquire directly. Also, the Modeling and Simulation (M&S) of such system requires exact or approximated value of these parameters. Thus, numbers of approaches are developed to identify these parameters. This paper proposes Particle Swarm Optimization (PSO) based method to estimate the inertia and viscous damping of the servo drive system. The sequence of the method is illustrated, and the detail of the work is presented. In order to find the parameter, experiment has been conducted and position signal and PWM signal data is analyzed. Modeling of the servo drive system is needed to run simulation and compare the results with experiment. The PSO algorithm then automatically finds best approximated parameters with which the simulation gives great agreement with experiment.