The identification of the magnetic bearing system with the Real Coded Genetic Algorithm

This paper concerns about the identification method to find a parameter´s values of the system that doesn´t reduced system´s order. The MBS(Magnetic Bearing System) is selected first as the plant to identify. And the circuit of the linear current amplifier is designed by RCGA(Real Coded Genetic Algorithm). After that, the PID (Proportional-Integral-Differential) controller is selected by the try and error method. Because of the MBS is unstable essentially, the PID controller is necessary to stabilize the system. And the mathematical model is calculated that includes the PID controller and the actuator. Finally, a parameter´s values of the MBS are identified with the RCGA between the response of the mathematical model and the data of experiments.