Multi-objective Optimization Control of Active Magnetic Bearing-Rotor System Based on Multi-Dimensional Visualization

To improve the control performances for the active magnetic bearing rotor system, a multi-objective optimization control strategy based on multi-dimensional visualization was proposed in this paper. Firstly, the active magnetic bearing-rotor system was simplified as a planar rotor model, and the analytical models of the equivalent stiffness, equivalent damping, maximum amplitude and sensitivity function of the planar rotor control system were derived. On this basis, the vibration and robustness of the control system were taken as the optimization objectives, and the system stability, natural stiffness and natural damping, maximum amplitude and peak value of sensitivity function were taken as constraints. Then the multi-dimensional visualization algorithm was used to solve the optimization model to obtain the feasible region of P, I and D control parameters. Finally, the effectiveness of the new control system was verified by system simulation. The results show that the new control system can realize the stable suspension for the active magnetic rotor system in the speed range of 0–24000 r/min, with the advantages of small vibration and strong robustness.