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ELECT_20210033_nlm_new_ELECTRICA.pdf (2.09 MB)

Optimal Adjustment of Evolutionary Algorithm-Based Fuzzy Controller for Driving Electric Motor with Computer Interface

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posted on 01.09.2021, 19:25 by mehmet bulutmehmet bulut
This study focused on the development of a system based on evolutionary Algorithms to obtain the optimum parameters of the fuzzy controller to increase the convergence speed and accuracy of the controller. The aim of the study is to design fuzzy controller without expert’s knowledge by using evolutionary genetic algorithms and carry out on a DC motor. The design is based on optimization of rule bases of fuzzy controller. In the learning stage, the obtained rule base fitness values are measured by working the rule base on the controller. The learning stage is repeated the termination criteria. The proposed fuzzy controller is performed on the dc motor from a PC program using a interface circuit.
Note : This article has been accepted for publication in a future issue of ELECTRICA journal, it is now in the early view.
Citation information:
M. Bulut, "Optimal Adjustment of Evolutionary Algorithm-based Fuzzy Controller for Driving Electric Motor with Computer Interface", Electrica, August 5, 2021. DOI: 10.5152/electrica.2021.21033.

History

Email Address of Submitting Author

mehmetbulut06@gmail.com

ORCID of Submitting Author

https://orcid.org/0000-0003-3998-1785

Submitting Author's Institution

Electricity Generation Co.

Submitting Author's Country

Turkey

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