Improving active magnetic bearing system performance using recursive least square method

Active magnetic bearing (AMB) is used for high rotational speed applications. A complete system consists of an actuator, power amplifier, a position sensor and a control system. In this paper, a forward control strategy algorithm for improving performance of active magnetic bearings system is investigated. The developed control algorithm uses a recursive least square technique. Two types of nulling are implemented, displacement nulling and current nulling. The displacement nulling method cancels displacements measured by the sensor signals. The current nulling method is used to cancel disturbances in the power amplifier current signals. The developed algorithms were experimentally tested and the results showed significant performance improvements