Magnetic Levitation Actuation and Motion Control System with Active Levitation Mode Based on Force Imbalance

Accurate large-displacement magnetic levitation actuation and its stability remain difficult in non-liquid environments. A motion control system with active mode is proposed this paper. The actuating force of the generated by external field. neural network proportion-integration-differentiation (PID) controller designed for actuation, a imbalance principle built step mode. Dual electromagnetic actuators are configured to generate superimposed field, ensuring that on ball more uniform stable than single actuators. Dual-hall-structure sensors used measure displacement, thereby reducing overshoot whilst motivating ball. Due high adaptability complex systems nonlinear ambiguous models, PID composed neurons has stronger through tuning parameters automatically. Furthermore, can solve shortcoming deviation between controlled object steady-state operating point increases tracking performance deteriorates rapidly. strong robustness achieved during both ascending descending processes.