Robust Adaptive Control of Permanent Magnetic Suspension System Using Variable Flux Path Control Method

In order to reduce the power consumption of magnetic suspension system, a magnetic suspension system using variable flux path control method was put forward. And, to stabilize the system, the robust control model is established and status feedback gamma suboptimal H-inf robust controller is designed by H-inf robust control method basing the LMI. Suspension characteristics were analyzed using numerical simulation and experiment, in which the simulation was based on the Matlab/simulink and the experiment was based on the single degree freedom magnetic suspension system. The results show that the suspension system can realize the saving energy suspension, respond displacement input signal. Besides, for the system has a nonlinear characteristic, a static feedback robust controller cannot guarantee the system stability, when the air gap was changed so much. And in order to solve this problem, the adaptive control idea was applied into the system, a robust adaptive control method is proposed. And the robust adaptive control was applied into the suspension system. The simulation and experiment results proved that the controller can obtain a large controllable air gap in a stable suspension state.