Citation

Bhuvaneswari, Thangavel and Hossen, Jakir and Arif, E. M. H. and Venkataseshaiah, Chinthakunta and Murthy, Gajula Ramana and Mollick, Tajrian (2019) Performance Comparisons of Fuzzy Logic and Neuro-Fuzzy Controller Design in Solar Panel Tracking Systems. In: 2018 IEEE Conference on Systems, Process and Control, ICSPC 2018, 14-15 December 2018, Melaka, Malaysia.

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Abstract

Renewable energy is suitable environmental, energy resources for the new generation. The solar energy system plays a dominant role in electric power generation. The solar panel tracking depends on the sun create the power. The solar panel tracker system among the important element in the PV system, obtaining greatest efficiency several types of the controller has been suggested in the composition to improve the performance. This solar panel tracking process has been used the neuro-fuzzy controller for superior performance. Because in this system neuro-fuzzy controller reduces the sun data error processing and detects the uncertainty weather. Its performance has been studied by using Mat lab simulation. In this system, then compare to "fuzzy logic controller" the proposed "neuro-fuzzy controller" is found to provide better performance.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Fuzzy logic
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	26 Jan 2022 04:22
Last Modified:	26 Jan 2022 04:22
URII:	http://shdl.mmu.edu.my/id/eprint/9056

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