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

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 a...

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Published inAdvances in Electrical and Computer Engineering Vol. 21; no. 2; pp. 15 - 22
Main Authors HENINI, N., TLEMCANI, A., BARKAT, S.
Format Journal Article
LanguageEnglish
Published Suceava Stefan cel Mare University of Suceava 01.05.2021
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ISSN1582-7445
1844-7600
DOI10.4316/AECE.2021.02002

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Abstract 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.
AbstractList 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.
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.
Audience Academic
Author HENINI, N.
BARKAT, S.
TLEMCANI, A.
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Snippet 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...
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StartPage 15
SubjectTerms 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
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Title Adaptive Interval Type-2 Fuzzy Controller Based Direct Torque Control of Permanent Magnet Synchronous Motor
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