Axial Displacement Control of Bearingless Motor via State Feedback Linearization

This paper presents a control strategy for managing the axial displacement of bearingless motors, a system inherently governed by nonlinear differential equations. Given the complexities associated with such dynamics, the study employs nonlinear control techniques to perform state feedback linearization, transforming the system into a linear state-space form amenable to conventional control design. The proposed linearized model simplifies the control structure while retaining the system’s essential dynamics. To ensure robust performance under parameter estimation uncertainties, a stability analysis is conducted using Lyapunov-based methods. This approach not only guarantees stability but also provides valuable insights into the tolerance of the system to modeling inaccuracies, which is critical for the reliable operation of bearingless motors. The results demonstrate the effectiveness of the proposed method in stabilizing axial displacement, contributing to the broader body of research in advanced control methodologies for high-precision electromechanical systems.