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This study presents the development of adaptive control algorithm based on backstepping methodology for magnetic suspension of rotating impeller for artificial heart pump subjected to external disturbance. The magnetic bearing system for pump impeller consists of two pairs of magnetic coils, one pair at each end of the impeller. These coils are injected by the required control currents to produce the necessary magnetic field for correctly suspending the axial motions of impeller in both horizontal and vertical planes. The adaptive backstepping control algorithm has been established by following a rigorous Lyapunov-based stability analysis, to prove the asymptotic convergence of errors in the presence of unknown external uncertainty. The setting of design parameters for the adaptive controller is another issue which has been solved by suggesting particle swarm optimization to tune the design parameters of adaptive controller toward optimal performance. The computer simulation showed that the optimal adaptive controller could successfully and quickly suspend the impeller for both regulation and tracking scenarios irrespective to all initial deviations of rotating shaft under exerted disturbance. Also, the developed adaptive laws of proposed adaptive controller could estimate the uncertainty without drift, which ensures the asymptotic convergence of errors.

Optimal Adaptive Magnetic Suspension Control of Rotary Impeller for Artificial Heart Pump