Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms

摘要

The genetic algorithms (GA) with global optimization character and the simplex method are combined and used into the application of the parameter identification. The nonlinear dynamic model of an actual DC motor including the nonlinear friction torque is established. By means of the compound evolution algorithms proposed, the detail procedure of the all parameters identification in the DC motor with actual system's input-output data are given. The effectiveness of identification is verified by the comparison between actual system values and model's in the different situations including the motor running in the dead zone, saturated zone and linear zone, respectively.