Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings

Abstract

Aiming to suppress the same frequency current vibration of the active magnetic bearing (AMB) system with rotor imbalance, this paper proposes a novel automatic balancing control strategy based on Recursive Least Squares (RLS) algorithm and uses fuzzy control algorithm to improve the robustness of the PID controller. This method can effectively suppress the same frequency current while enhancing the anti-interference ability of the control system. The simulation results demonstrate the availability of this strategy. Compared to the automatic balancing algorithm that combines traditional LMS filters and PID controllers, the control method combining the RLS filter and the fuzzy-PID controller has a faster current convergence speed and stronger anti-interference ability.