A FUZZY LOGIC CONTROLLER FOR IPMSG USED IN WIND ENERGY CONVERSION SYSTEM

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SHAFIEI AHMADREZA; MIRZAEIAN DEHKORDI BEHZAD; FARHANGI SHAHROKH; kiyoumarsi Arash

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2016 | Volume:7 | Issue:1 Page(s): 35-50

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Title

A FUZZY LOGIC CONTROLLER FOR IPMSG USED IN WIND ENERGY CONVERSION SYSTEM

Author(s)

SHAFIEI AHMADREZA | MIRZAEIAN DEHKORDI BEHZAD | FARHANGI SHAHROKH | kiyoumarsi Arash | Issue Writer Certificate

Keywords

DIRECT-DRIVE PMSGQ1

FUZZY LOGIC CONTROLQ2

SVM-DTFCQ2

WIND ENERGY CONVERSION SYSTEMQ2

Abstract

In this paper a fuzzy logic based approach is presented for control of small-scale WIND ENERGY CONVERSION SYSTEM (WECS) over wide operating range. The considered WECS is equipped with fixedpith blades and an Interior PM Synchronous Generator connected to a full-scale PWM rectifier. The proposed control strategy aims to track maximum power point at underrated wind speeds and harvest rated power of generator at overrated wind speeds. The space vector modulation-based direct torque control method is used to track the electrical torque and flux references. The reference of electrical torque is provided through a FUZZY LOGIC CONTROLler (FLC) achieving the maximum power point tracking. On the other hand, the reference flux magnitude is provided through a comprehensive strategy guarantying the machine operation over nominal rotational speed, limitation of the generated reference torque and copper-loss minimization. These are formulated asa nonlinear optimization problem which is solved numerically offline using the well-known sequential quadratic programming method. It should be noted that, the fuzzy rules are designed in such a way that not only result fast and accurate tracking performance at underrated wind speeds but also avoids irrational growth in reference electrical torque when the reference torque is limited by reference flux providing strategy. The proposed control strategy is verified by applying the strategy to a commercial 10 kW wind turbine simulated in MATLAB/Simulink.

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APA: Copy

SHAFIEI, AHMADREZA, MIRZAEIAN DEHKORDI, BEHZAD, FARHANGI, SHAHROKH, & kiyoumarsi, Arash. (2016). A FUZZY LOGIC CONTROLLER FOR IPMSG USED IN WIND ENERGY CONVERSION SYSTEM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 7(1), 35-50. SID. https://sid.ir/paper/202974/en

Vancouver: Copy

SHAFIEI AHMADREZA, MIRZAEIAN DEHKORDI BEHZAD, FARHANGI SHAHROKH, kiyoumarsi Arash. A FUZZY LOGIC CONTROLLER FOR IPMSG USED IN WIND ENERGY CONVERSION SYSTEM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2016;7(1):35-50. Available from: https://sid.ir/paper/202974/en

IEEE: Copy

AHMADREZA SHAFIEI, BEHZAD MIRZAEIAN DEHKORDI, SHAHROKH FARHANGI, and Arash kiyoumarsi, “A FUZZY LOGIC CONTROLLER FOR IPMSG USED IN WIND ENERGY CONVERSION SYSTEM,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 7, no. 1, pp. 35–50, 2016, [Online]. Available: https://sid.ir/paper/202974/en

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