Design and Implementation of an Online Tuning Adaptive Controller for Synchronous Reluctance Motor Drives

Abstract

The paper proposes a new adaptive controller design for a synchronous reluctance motor drive system. In this paper, an online tuning adaptive controller, which is based on the least-mean-square algorithm, is proposed. The adaptive controller is constructed by using an adaptive model and an adaptive control. Both the adaptive-model parameters and the adaptive-control parameters are online tuned. A nonlinear programming optimization technique is used to improve the convergence rate of the online tuning method. By using the proposed method, the transient responses, load disturbance responses, and tracking responses of the drive system are improved. The experimental results show that the implemented drive system can perform a wide range in adjustable speed from 1 to 1800 r/min and a precise position control as well. A digital signal processor, TMS-320F-28335, is used to execute the adaptive current-loop, speed-loop, and position-loop controllers. Experimental results can validate the theoretical analysis and show the feasibility and correctness of the proposed method.