Using fuzzy logic in the governing system of a micro-hydro power plant

Clicks: 1
ID: 287012
2001
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #3,539 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
This is a study of the implementation of fuzzy logic control in micro-hydro power stabilization. The focus of the study is on a generator that is driven by a cross-flow turbine operating with two flow-control guide vanes. No attempt is made to investigate on other turbine-generator set-up for comparative study. Two parameters, the turbine speed and generator output voltage, are controlled in order to regulate the generator output power. A large part of this study involved the assembly of the electronic hardware that was necessary to implement fuzzy logic control. The method by which the author was able to implement fuzzy logic control was presented in this thesis. The scheme in controlling the two flow-control guide vanes was the key in the regulation of the turbine speed. The generator output voltage was regulated by controlling the excitation field voltage of the generator. The performance of the fuzzy logic controller was evaluated by analyzing the turbine speed and generator output graphs both as functions of time. Three trials were conducted in order to compare the effectiveness of the fuzzy logic controller that was developed in this study. The results of the performance tests showed that the fuzzy logic controller that was developed in this study was effective in stabilizing the generator output voltage and the turbine speed.
Reference Key
persistent_1760660327_68f18b677784b Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gan Lim, Laurence A.
Journal Malay Journal
Year 2001
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etd_masteral/2617
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.