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    <name>Article</name>
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              <text>Optimal design of controller for automatic voltage regulator performance enhancement: a survey</text>
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              <text>Automatic voltage regulator (AVR); Fraction order proportional integral derivative (FOPID) controller; Fuzzy logic controller; Intelligent controller; Nonlinear system; Optimization technique; Proportional integral derivative (PID) controller</text>
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              <text>For regulating the Synchronous Generator (SG) output voltage, the Automatic Voltage Regulator (AVR) system is a significant device. This work propounds a survey on Optimization Algorithms (OAs) utilized for tuning the controller parameters on the AVR system. A device wielded for adjusting the SGs Terminal Voltage (TV) is named AVR. A Controller is utilized for improving stability and getting a superior response by mitigating maximum Over Shoot (OS), reducing Rise Time (RT), reducing Settling Time (ST), and enhancing Steady State Error (SSE) since output voltage has a slower response and instability. The controllers utilized here are Proportional-Integral-Derivative (PID), Intelligent Controller (IC), along with Fraction Order PID (FOPID). Owing to the occurrence of time delays, nonlinear loads, variable operating points, and others, OAs are wielded for tuning the controller. (a) Particle Swarm Optimization (PSO), (b) Genetic Algorithm (GA), (c) Gray Wolf Optimizer (GWO), (d) Harmony Search Algorithm (HSA), (e) Artificial Bee Colony (ABC), (f) Teaching Learned Based Optimization (TLBO), et cetera are the various sorts of OA. For enhancing the TV response along with stability, various OAs were tried by researchers.  The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.</text>
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              <text>Sivanandhan A.; Thriveni G.</text>
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              <text>Electrical Engineering, Vol-106, No. 4, pp. 3705-3720.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/s00202-023-02196-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s00202-023-02196-5&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181471924&amp;amp;doi=10.1007%2Fs00202-023-02196-5&amp;amp;partnerID=40&amp;amp;md5=53658e655ce6f6e8ba899eadab08f189" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181471924&amp;amp;doi=10.1007%2fs00202-023-02196-5&amp;amp;partnerID=40&amp;amp;md5=53658e655ce6f6e8ba899eadab08f189&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 9487921; CODEN: EENGF</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Sivanandhan A., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Bengaluru, India; Thriveni G., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Bengaluru, India</text>
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