Adaptive Resonant-EIDO-Based Optimized Position Precision Control for Magnetic Levitation System

For improving multiple-disturbance rejection with unknown frequency resonant disturbance, an adaptive resonant-equivalent-input-disturbance-observer-based optimized position precision control for a magnetic levitation system is proposed in this article. Considering the strong nonlinear character of the magnetic levitation system, a model-predictive-control-based optimization solution is designed using Taylor series expansion, but the predictive model accuracy is missing. Considering the model error and multiple disturbances, an adaptive resonant equivalent input disturbance estimator is developed; compared to the existing results, it could observe the unknown frequency resonant disturbance. Then, the disturbance estimation integrated model-predictive control scheme is constructed for online optimization. Rigorous analysis is also given. Compared to the existing disturbance attenuation method, experimental results have also shown that the improvement of position precision and disturbance rejection is confirmed with the proposed control method.