D. Kiruthika ¹, D. Susitra ¹

Affiliations
1 EEE Department, Sathyabama University, IN

Abstract

Fuzzy logic control has become an important methodology in control engineering. The paper proposes a Fuzzy Logic Controller (FLC) for controlling a speed of SRM drive. The objective of this work is to compare the operation of P& PI based conventional controller and Artificial Intelligence (AI) based fuzzy logic controller to highlight the performances of the effective controller. The present work concentrates on the design of a fuzzy logic controller for SRM speed control. The result of applying fuzzy logic controller to a SRM drive gives the best performance and high robustness than a conventional P&PI controller. Simulation is carried out using matlab simulink.

Keywords

P Controller, PI Controller And Fuzzy Logic Controller, Switched Reluctance Motor

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E. Annie Elisabeth Jebaseeli ¹, D. Susitra ¹, P. Abirami ¹

Affiliations
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN

Abstract

Wind generation is one of the renewable energy power sources that constitute a remedy for greenhouse gas emission treatments. Conventionally various types of wind energy generators such as Induction Generators or Synchronous Generators have been used as wind Generators. The shortcomings of these conventionally used Generators like complex in structure and limited rotor converter rating have turned research attention to more simple and robust variable speed Generator topologies such as Switched Reluctance Generator (SRG). Investigations have proved that this technology is promising due to the new recent advances in the field of variable speed drives. In this research paper, the operation of split DC Power converter required for SRG with even number of phases is discussed along with the operation modes. Then the converter circuit is simulated and the results are presented to gain knowledge about the characteristics of this converter.

Keywords

Converter, Renewable Sources of Energy, Switched Reluctance Generator, Wind Energy Conversion Systems

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D. Susitra ¹, E. Annie Elisabeth Jebaseeli ¹

Affiliations
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN

Abstract

Generation of electrical energy from the abundantly available wind power is gaining increasing importance throughout the world in the field of renewable energy. The major machineries used in the Wind Energy Conversion System (WECS) are generator and turbine units. The efficiency of WECS greatly depends on the performance of the generator used. In recent years, Switched Reluctance Generator (SRG) is replacing conventional induction generators and permanent magnet synchronous generators in the field of wind energy generation system. The performance accuracy of switched reluctance generator significantly relies on the precision of its machine modeling. The three modeling parameters of SRG are its phase flux linkage, phase inductance and rotor position. This paper presents the fuzzy logic based flux linkage modeling technique for switched reluctance generator. The main objective of this work is to determine the suitable membership function for modeling the SRM. The various types of membership functions available in fuzzy logic such as Trapezoidal, Gbell, Gaussian, Psigmoid and Triangular functions are used to develop the SRM flux linkage model. The flux linkage profiles modeled from all these membership functions are compared. The results of these comparisons are analyzed and presented in detail. From the analysis of results, it has been proved that the triangular membership function has developed a good SRG model compared with the other models. The kind of non-linearity exhibited by SRG is well handled by triangular membership function. The developed SRG model is persuaded to act as a potential candidate in real time wind energy conversion system.

Keywords

Fuzzy Inference System, Fuzzy Logic, Membership Functions, Non-linear Flux Linkage Model, Switched Reluctance Generator (SRG)

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