Parameters optimisation on active disturbance rejection control of a bearingless induction motor

Abstract

ABSTRACT Aiming at the problem that the parameters tuning depends on empirical adjustment and it is difficult to obtain the optimal solution in the active disturbance rejection control (ADRC) system of a bearingless induction motor (BIM), a fusion control strategy based on improved particle swarm optimisation (IPSO) and simulated annealing (SA) algorithm is proposed. Based on the orientation of the air gap magnetic field, the first-order torque ADRC and the second-order levitation ADRC are designed for the rotating and suspension parts of the BIM, respectively. The parameters of the ordinary particle swarm optimisation algorithm are improved to obtain the fast optimisation ability; The Metropolis criterion of the simulated annealing algorithm is combined to improve the accuracy of the final solution. Meanwhile, several groups of test functions are used to test IPSO-SA and verify the stability as well as the accuracy of the algorithm. Finally, the parameters of ADRC are adjusted by IPSO-SA, and the obtained parameters are simulated by Matlab/Simulink operating environment and verified by experiments on the experimental prototype. Both simulation and experimental results show that the proposed control strategy can not only obtain good speed characteristics and improve the robustness of the system but also effectively realise its high-performance suspension.