Adaptive Interval Type-2 Fuzzy Logic Control for PMSM Drives With a Modified Reference Frame

In this paper, an adaptive interval type-2 fuzzy logic control scheme is proposed for high-performance permanent magnet synchronous machine drives. This strategy combines the power of type-2 fuzzy logic systems with the adaptive control theory to achieve accurate tracking and robustness to higher un...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 64; číslo 5; s. 3786 - 3797
Hlavní autoři:	Chaoui, Hicham, Khayamy, Mehdy, Aljarboua, Abdullah Abdulaziz
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation models Adaptive control Control stability Control theory Energy consumption Friction Fuzzy control Fuzzy logic Fuzzy sets Fuzzy systems Lyapunov stability Mathematical model nonlinearity Permanent magnets permanent-magnet synchronous machines (PMSMs) Synchronous machines Torque Transducers type-2 fuzzy logic Uncertainty
ISSN:	0278-0046, 1557-9948
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Abstract	In this paper, an adaptive interval type-2 fuzzy logic control scheme is proposed for high-performance permanent magnet synchronous machine drives. This strategy combines the power of type-2 fuzzy logic systems with the adaptive control theory to achieve accurate tracking and robustness to higher uncertainties. Unlike other controllers, the proposed strategy does not require electrical transducers and hence, no explicit currents loop regulation is needed, which yields a simplified control scheme. But, this limits the machine's operation range since it results in a higher energy consumption. Therefore, a modified reference frame is also proposed in this paper to decrease the machine's consumption. To better assess the performance of the new reference frame, comparison against its original counterpart is carried-out under the same conditions. Moreover, the stability of the closed-loop control scheme is guaranteed by a Lyapunov theorem. Simulation and experimental results for numerous situations highlight the effectiveness of the proposed controller in standstill, transient, and steady-state conditions.
AbstractList	In this paper, an adaptive interval type-2 fuzzy logic control scheme is proposed for high-performance permanent magnet synchronous machine drives. This strategy combines the power of type-2 fuzzy logic systems with the adaptive control theory to achieve accurate tracking and robustness to higher uncertainties. Unlike other controllers, the proposed strategy does not require electrical transducers and hence, no explicit currents loop regulation is needed, which yields a simplified control scheme. But, this limits the machine's operation range since it results in a higher energy consumption. Therefore, a modified reference frame is also proposed in this paper to decrease the machine's consumption. To better assess the performance of the new reference frame, comparison against its original counterpart is carried-out under the same conditions. Moreover, the stability of the closed-loop control scheme is guaranteed by a Lyapunov theorem. Simulation and experimental results for numerous situations highlight the effectiveness of the proposed controller in standstill, transient, and steady-state conditions.
Author	Khayamy, Mehdy Chaoui, Hicham Aljarboua, Abdullah Abdulaziz
Author_xml	– sequence: 1 givenname: Hicham surname: Chaoui fullname: Chaoui, Hicham email: hicham.chaoui@carleton.ca organization: Dept. of Electron., Intell. Robot. & Energy Syst. (IRES) Res. Group, Carleton Univ., Ottawa, ON, Canada – sequence: 2 givenname: Mehdy surname: Khayamy fullname: Khayamy, Mehdy email: mkhayamy42@students.tntech.edu organization: Dept. of Electron., Intell. Robot. & Energy Syst. (IRES) Res. Group, Carleton Univ., Ottawa, ON, Canada – sequence: 3 givenname: Abdullah Abdulaziz surname: Aljarboua fullname: Aljarboua, Abdullah Abdulaziz email: abdullah.aljarboua@kaust.edu.sa organization: Div. of Comput., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
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SubjectTerms	Adaptation models Adaptive control Control stability Control theory Energy consumption Friction Fuzzy control Fuzzy logic Fuzzy sets Fuzzy systems Lyapunov stability Mathematical model nonlinearity Permanent magnets permanent-magnet synchronous machines (PMSMs) Synchronous machines Torque Transducers type-2 fuzzy logic Uncertainty
Title	Adaptive Interval Type-2 Fuzzy Logic Control for PMSM Drives With a Modified Reference Frame
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