Title :
Design and Implementation of an Online Tuning Adaptive Controller for Synchronous Reluctance Motor Drives
Author :
Ming-Yen Wei ; Tian-Hua Liu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
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.
Keywords :
adaptive control; angular velocity control; control system synthesis; electric current control; least mean squares methods; machine control; nonlinear programming; position control; reluctance motor drives; transient response; TMS-320F-28335; adaptive current-loop controller; adaptive-control parameters; adaptive-model parameters; digital signal processor; least mean square algorithm; load disturbance responses; nonlinear programming optimization technique; online tuning adaptive controller design; position-loop controller; speed-loop controller; synchronous reluctance motor drive system; tracking responses; transient responses; Adaptation models; Adaptive control; Control systems; Mathematical model; Reluctance motors; Tuning; Vectors; Adaptive controller; digital signal processor (DSP); nonlinear programming optimization; synchronous reluctance motor drive;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2012.2206341