An adaptive back-stepping control (ABC) is originally applied to a linearized model of an active magnetic bearing (AMB) system. Our control objective is to regulate the deviation of the magnetic bearing from its equilibrium position in the presences of an external disturbance and system uncertainties. The ABC consists of a recursive Lyapunov controller and adaptive laws. It is based on full-state feedback, for which all three states in the linearized AMB model (velocity, position, and current) are estimated to construct the control law. It is proved that the adaptive back-stepping controlled AMB system is asymptotically stable around the system's equilibrium points. Simulation results verify the effectiveness and robustness of the ABC against external disturbances and system uncertainties.
Article
Adaptive Back-stepping Control of Active Magnetic Bearings
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Document Type
Conference Proceeding
Publication Date
6-1-2013
Disciplines
Abstract
DOI
10.1109/ICCA.2013.6564856
Citation Information
Lili Dong and Silu You, "Adaptive back-stepping control of active magnetic bearings," in Control and Automation (ICCA), 2013 10th IEEE International Conference on, 2013, pp. 452-457.
Paper presented at the IEEE International Conference on Control and Automation, June 12-14, 2013, in Hangzhou, China.