Adaptive Interval Type-2 Fuzzy Controller Based Direct Torque Control of Permanent Magnet Synchronous Motor

• Published in: Advances in Electrical and Computer Engineering Vol. 21; no. 2; pp. 15 - 22
• Main Authors: HENINI, N., TLEMCANI, A., BARKAT, S.
• Format: Journal Article
• Language: English
• Published: Suceava Stefan cel Mare University of Suceava 01.05.2021
• Subjects: Adaptive control; Control methods; Control stability; Control systems; Controllers; Design and construction; Electric motors; Equipment and supplies; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy systems; measurement uncertainty; permanent magnet motor; Permanent magnets; Robust control; Sliding mode control; Synchronous motors; Torque; torque control; United States
• ISSN: 1582-7445; 1844-7600
• DOI: 10.4316/AECE.2021.02002

This paper develops an adaptive type-2 fuzzy logic controller for direct torque control of a permanent magnet synchronous motor. The type-2 fuzzy logic systems are used for modeling the unknown functions. The adaptive law proposed takes in consideration the compensation of reconstruction errors by adding a sliding mode term. This term ensures the stability and the robustness of the control system regardless the internal and external disturbances. The stability of closed-loop system was verified using Lyapunov's stability theorem. Moreover, the proposed control scheme guarantees that all involved signals are bounded. The effectiveness and the feasibility of the proposed control method are demonstrated by extensive presentation and discussion of simulation results. Index Terms--adaptive control, fuzzy systems, measurement uncertainty, permanent magnet motor, torque control.