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

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...

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Bibliographic Details
Published in:Asian journal of control 2019-07, Vol.21 (4), p.2155-2166
Main Authors: Ammar, Abdelkarim, Talbi, Billel, Ameid, Tarek, Azzoug, Younes, Kerrache, Abdelaziz
Format: Article
Language:English
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
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Summary: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.
ISSN:1561-8625
1934-6093
DOI:10.1002/asjc.2148