Predictive direct torque control with reduced ripples for induction motor drive based on T‐S fuzzy speed controller

• Published in: Asian journal of control Vol. 21; no. 4; pp. 2155 - 2166
• Main Authors: Ammar, Abdelkarim, Talbi, Billel, Ameid, Tarek, Azzoug, Younes, Kerrache, Abdelaziz
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.07.2019; Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)
• Subjects: Algorithms; Computer simulation; Control; Control systems; Controllers; Cost function; direct torque control (DTC); dSpace 1104; Electric drives; Engineering Sciences; Fuzzy control; Fuzzy logic; induction motor (IM); Induction motors; Power converters; Predictive control; predictive torque control (PTC); Robust control; Takagi‐Sugeno fuzzy logic controller (TS‐FLC); Torque; Tracking control; predictive torque control (PTC); direct torque control (DTC); Takagi‐Sugeno fuzzy logic controller (TS‐FLC); dSpace 1104; induction motor (IM)
• ISSN: 1561-8625; 1934-6093
• DOI: 10.1002/asjc.2148

Finite‐state model predictive control (FS‐MPC) has been widely used for controlling power converters and electric drives. Predictive torque control strategy (PTC) evaluates flux and torque in a cost function to generate an optimal inverter switching state in a sampling period. However, the existing PTC method relies on a traditional proportional‐integral (PI) controller in the external loop for speed regulation. Consequently, the torque reference may not be generated properly, especially when a sudden variation of load or inertia takes place. This paper proposes an enhanced predictive torque control scheme. A Takagi‐Sugeno fuzzy logic controller replaces PI in the external loop for speed regulation. Besides, the proposed controller generates a proper torque reference since it plays an important role in cost function design. This improvement ensures accurate tracking and robust control against different uncertainties. The effectiveness of the presented algorithms is investigated by simulation and experimental validation using MATLAB/Simulink with dSpace 1104 real‐time interface.