Title :
Robust magnetic bearing control using stabilizing dynamical compensators
Author :
Duan, Guang-Ren ; Wu, Zhan-Yuan ; Bingham, Chris ; Howe, David
Abstract :
This paper considers the robust control of an active radial magnetic bearing system, having a homopolar, external rotor topology, which is used to support an annular fiber composite flywheel rim. A first-order dynamical compensator, which uses only position feedback information, is used for control, its design being based on a linearized one-dimensional second-order model which is treated as an interval system in order to cope with parameter uncertainties. Through robust stability analysis, a parameterization of all first-order robustly stabilizing dynamical compensators for the interval system is initially obtained. Then, by appropriate selection of the free parameters in the robust controller, the H2 norm of the disturbance-output transfer function is made arbitrarily small over the system parameter intervals, and the H∞ norm of the input-output transfer function is made arbitrarily close to a lower bound. Simulation and experimental results demonstrate both stability and performance robustness of the developed controller.
Keywords :
control system synthesis; feedback; machine bearings; machine control; magnetic bearings; robust control; transfer functions; H2 norm; active radial magnetic bearing; annular fiber composite flywheel rim; disturbance-output transfer function; first-order dynamical compensator; first-order robustly stabilizing dynamical compensators; free parameters; homopolar external rotor topology; input-output transfer function; linearized one-dimensional second-order model; parameter uncertainties; performance robustness; position feedback information; robust control; robust controller; robust magnetic bearing control; robust stability analysis; stability; stabilizing dynamical compensators; Attenuation; Control systems; Electromagnets; Feedback; Magnetic levitation; Robust control; Robust stability; Sensorless control; Transfer functions; Uncertain systems;
Journal_Title :
Industry Applications, IEEE Transactions on