This analysis reveals how variations in controller and system parameters affect active magnetic bearings, suggesting design optimizations.
Active Magnetic Bearings (AMBs) are inherently nonlinear because of the complex interaction between magnetic forces and the position of the suspended rotor or load. To achieve stable bearing operation, AMBs require the integration of controllers, sensors, and power electronic drives within a closed-loop configuration. Since a closed-loop AMB system consists of multiple components with varying parameters, careful design and coordination are essential to ensure reliable performance. Therefore, a small variation in those variables affects its performance. The input voltage, the inductance of the electromagnetic coil, the mass of the rotor, the air gap between the actuator and rotor, and controller settings are some of the most important factors. This paper suggests a closed loop active magnetic bearing system, as well as the necessary components. A hardware model of an active magnetic bearing system is created, and a linearized transfer function is calculated using the physical parameters' values. Using this transfer function in conjunction with a lead controller, the influence on the closed-loop functionality of the proposed AMB system is examined by modifying the key variables. As a result, sensitivity and performance analysis of the system is performed in this manuscript. Further, an experimental step-up is formed to verify the simulation results.
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Gupta et al. (2025) studied this question.
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