ROBUST AND OPTIMAL MIXED H2/H¥ CONTROL FOR ACTIVE MAGNETIC BEARING SYSTEMS
This paper presents an algorithm for designing a robust and optimal controller for active magnetic bearing systems. The active magnetic bearing systems are widely applied for high speed machining due to no contact operation, low fiction, lubrication-free operation, and extended life. However, they are non-linear, unstable, multiple input and multiple output systems. Therefore, a robust and optimal controller is required. In this paper, we derive dynamic equation and analyze response of the open loop system. Based on the dynamic response of the system, we propose a suitable controller with robust and optimal criteria using particle swarm optimization. The simulation results show that the closed loop system attains good performance in compared with conventional PID controllers
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