Optimal design of decentralized PID controller parameters for AMB considering influence of revolution speed and temperature
The traditional design process of magnetic bearing controller often uses the dynamic model of magnetic bearing-rotor system with fixed parameters,which is difficult to ensure controller with good performance.The influence of revolution speed and temperature on the system model parameters during the operation of maglev rotating machinery were considered,and a variable parameters system model was established,and the parameters of decentralized PID controller were optimized.Firstly,the influence principle of revolution speed on bearing air gap was because of the Poisson effect of the material,and the temperature changed the bearing air gap by the thermal expansion displacement difference of the stator and rotor,thus the variable parameters model of bearing force was established.Secondly,considering the influence of temperature on the elastic modulus of the rotor material,a variable parameters system dynamic model was established.Thirdly,the genetic optimization algorithm was used to optimize the parameters of the decentralized PID controller,with the weighted value of the amplitude margin and sensitivity of the control system as the optimization objective.Finally,the effectiveness of the proposed AMB controller parameters optimal design method was verified on the test platform.
poisson effectactive magnetic bearingair gapparameter-varying modeloptimal design
NETL
NSTL
万方数据
