Genetic Algorithms Based Optimization Design of a PID Controller for an Active Magnetic Bearing

The active magnetic bearing (AMB) using permanent magnet and electromagnet offers the advantage of higher lift-to-weight ratio and nearly zero ohmic loss of its control winding. Because of its inherent instability, AMB applications often require to overcome formidable control problems. This paper deals with the optimal design of a PID controller for an AMB using genetic algorithms (GA). The dynamic model for axial motion is also presented, together with experimental and simulation results to verify its availability and good dynamic response. Key words