Software Fuzzy Logic Compensator of Nonlinear Elements of Automatic Control System

Savelyev, D.O.; Gudim, A.S.

doi:10.1109/fareastcon.2018.8602829

Cited by 9 publications

(2 citation statements)

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“…The interface used in this work is Mamdani's procedure based on max-min decision. For the defuzzification, the Center of Area (COA) method is employed [20].…”

Section: Fuzzy Logic Control Of the Five-phase Pmsmmentioning

confidence: 99%

Fuzzy logic based vector control of multi-phase permanent magnet synchronous motors

Mehedi,

Nezli,

Mahmoudi

et al. 2023

J. Ren. Energies

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This paper presents a fuzzy-logic-based vector control for a five-phase permanent-magnet synchronous motor (PMSM). The high-performance of the proposed fuzzy logic control (FLC)-based PMSM drive are investigated and compared with the conventional proportional-integral (PI) controller at different conditions, such as step change in command speed and load, and robustness against machine parameter variations. Finally, Simulation results shows that FLC presents better performances and high robustness compared to the conventional PI controller.

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“…The interface used in this work is Mamdani's procedure based on max-min decision. For the defuzzification, the Center of Area (COA) method is employed [20].…”

Section: Fuzzy Logic Control Of the Five-phase Pmsmmentioning

confidence: 99%

Fuzzy logic based vector control of multi-phase permanent magnet synchronous motors

Mehedi,

Nezli,

Mahmoudi

et al. 2023

J. Ren. Energies

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“…A key component in any VE application is the electrical machine; naturally an additional limitation in this optimization procedure is the cost which makes the electrical machine design step even more complicated. Today, permanent magnet machines are the most common types [2,3], although switched reluctance (due to their low cost and potential for operation in a wide power range).…”

Section: Introductionmentioning

confidence: 99%

High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

Djelamda¹,

Bouchareb²,

Lebaroud³

2021

EJEE

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This work presents a field oriented control (FOC) strategy (Fuzzy Logic (FL)) associated with PI controller applied to the control system of an permanent magnet synchronous motor (PMSM) powered by an inverter dedicated to electric vehicles, the major challenge of our research work is a control law for a permanent magnet synchronous motor more efficient in terms of rejection of disturbances; stability and robustness with respect to parametric uncertainties, A comparison of the performance of the proposed FOC with the FOC with the fuzzy-PI will be presented. The overall development scheme is summarized and an example illustrates features of the control approach performed on a 0.5 kW PMSM drive. The torque and the speed will be judged and compared for the two orders offered. As results, the behavior of the FOC based on fuzzy-PI controller is more efficient compared to the conventional vector control.

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Algorithm of Fuzzy Controller Membership Function Allocation at Fuzzification Stage

Cherniy

Buzikayeva

Susdorf

et al. 2021

Lecture Notes in Networks and Systems

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Software Fuzzy Logic Compensator of Nonlinear Elements of Automatic Control System

Cited by 9 publications

References 0 publications

Fuzzy logic based vector control of multi-phase permanent magnet synchronous motors

Fuzzy logic based vector control of multi-phase permanent magnet synchronous motors

High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

Algorithm of Fuzzy Controller Membership Function Allocation at Fuzzification Stage

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