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2021 | OriginalPaper | Chapter

An Optimized Controller for Zeta Converter-Based Solar Hydraulic Pump

Authors : K. Sudarsana Reddy, B. Sai Teja Reddy, K. Deepa, K. Sireesha

Published in: Applications of Artificial Intelligence and Machine Learning

Publisher: Springer Singapore

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Abstract

Due to advancements in renewable technology, the agricultural sector can independently harvest its energy for running its respective equipments. One such equipment being hydraulic pump that waters the field can be run by solar array. This whole mechanism can be controlled through many present-day control techniques like soft computing techniques. The main aim of the present work is to obtain the best controller technique among fuzzy and genetic algorithm for the fast response of set value according to the climatic conditions and nature of field area. A mathematical model of zeta converter has been provided for studying the performance of the control techniques. This mathematical modelling of the respective converter has been done through state space averaging technique (SSA). This work even contributed a comparative study of zeta and SEPIC converter for its respective performance. These converters are chosen so that the output will be maintained at constant voltage for the range of input voltage. The work has been simulated in MATLAB/Simulink software for the respective study.

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Metadata
Title
An Optimized Controller for Zeta Converter-Based Solar Hydraulic Pump
Authors
K. Sudarsana Reddy
B. Sai Teja Reddy
K. Deepa
K. Sireesha
Copyright Year
2021
Publisher
Springer Singapore
Book
Applications of Artificial Intelligence and Machine Learning

Print ISBN: 978-981-16-3066-8

Electronic ISBN: 978-981-16-3067-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-3067-5_30

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