Comparative analysis of PWM AC choppers with different loads with and without neural network application.

dc.contributor.authorBounab, Mariem
dc.contributor.authorAli, Guma
dc.date.accessioned2024-07-02T16:10:23Z
dc.date.available2024-07-02T16:10:23Z
dc.date.issued2023-09
dc.description.abstractIn this paper, we focus on the "Artificial Neural Network (ANN) based PWM-AC chopper". This system is based on the PWM AC chopper-encouraged single-phase induction motor. The main purpose of this paper is to design and implement an ideal technique regarding speed control. Here analyzed PWM-based AC-AC converter with resistive load, R-L load and finally, the PWM AC chopper is fed to single phase induction for speed control. Using other soft computing and optimization techniques such as Artificial Neural Networks, Fuzzy Logic, Convolution algorithm, PSO, and Neuro Fuzzy can control the Speed. We used Artificial Neural Network to control the Speed of the PWM-AC Single phase induction motor drive. The Neural Network toolbox has been further used for getting desired responses. Neural system computer programs are executed in MATLAB. The performance of the proposed method of ANN system of PWM AC Chopper fed single phase induction motor drive is better than other traditional and base methods for controlling the Speed, based on the MOSFET.en_US
dc.identifier.citationBounabi, M., & Ali, G. (2023). Comparative Analysis of PWM AC Choppers with Different Loads with and Without Neural Network Application. Wasit Journal of Computer and Mathematics Science, 2(3), 116-125. https:// doi.org/10.31185/wjcms.196en_US
dc.identifier.issn2788-5879
dc.identifier.urihttps://dir.muni.ac.ug/handle/20.500.12260/646
dc.language.isoenen_US
dc.publisherWasit Journal of Computer and Mathematics Scienceen_US
dc.subjectAC Chopperen_US
dc.subjectPWMen_US
dc.subjectInduction Motoren_US
dc.subjectANNen_US
dc.titleComparative analysis of PWM AC choppers with different loads with and without neural network application.en_US
dc.typeArticleen_US

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