A Dual-Mode Adaptive Robust Controller Applied to the Speed Control of a Three-Phase Induction Motor

Abstract

This work presents a Dual-Mode Adaptive Robust Controller applied to the angular shaft speed control of a three-phase induction motor. A liaison between a Model Reference Adaptive Controller (MRAC) and a Variable Structure Model Reference Adaptive Controller (VS-MRAC) through a tuning parameter is obtained using fuzzy logic. The basic idea of the Dual-Mode controller is adding both the advantages of the VS-MRAC transient behavior with the steady-state properties of the conventional MRAC.

Controlling the speed of a three-phase induction motor using a simplified indirect adaptive sliding mode scheme

“…where k p ¼ ð2=3ÞðP=JÞðL m =L r Þc rd and a 1 ¼ B=J are known with uncertainties and change depending on the operating point (Cunha, Araujo, Barbalho, & Mota, 2005). The plant has only one input u ¼ i Sq and one output y= o.…”

Smooth indirect adaptive sliding mode control

“…Consider the system (6), output error (13), and adaptive laws (19). If assumptions (a)-(e) were satisfied, then (i) All the signals of closed-loop system are uniformly bounded.…”

“…In the dual mode adaptive robust controller (DMARC), differently from the B-MRAC, the transition between the two control strategies can be made during the controller operation, depending on the output error [17]. The DMARC was implemented to control the speed of a three-phase induction motor using fuzzy logic (Mandani model [18]) to realize the transition cited previously [19]. Mota and Araujo [20] used Takagi-Sugeno model [21] to realize the transition between MRAC and VS-MRAC, allowing the extraction of an analytical expression to control law and facilitating the development of stability analysis.…”

Dsp‐based Controller Design of an Xy‐table and Its Application to Virtual Fishing System

“…The main difference between fuzzy control systems and traditional control systems is that modeling is not needed for the former, which is a knowledge-based system constructed from a collection of IF-THEN rules [18,19]. The block of adaptive fuzzy control, in Fig.…”