<article_id>jic.5.3.13681</article_id>
<article_title>Load Frequency Control of a Thermal Power System using ANFIS and Comparison with Different Controllers</article_title>
<author>G. Gayathri Devi</author>
<author>M. Sai Veerraju</author>
<journal_title>Journal on Instrumentation and Control Engineering</journal_title>
<issn>2321–1148</issn>
<volume>5</volume>
<issue>3</issue>
<first_page>38</first_page>
<last_page>46</last_page>
<doi>10.26634/jic.5.3.13681</doi>
<keywords>Adaptive Neuro Fuzzy Inference System (ANFIS), Area Control Error (ACE), Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Load Frequency Control (LFC), Proportional Integral Derivative Controller (PID Controller)</keywords>
<abstract>This paper investigated Load Frequency Control (LFC) using an Artificial Intelligence (AI) technique called Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS controller is simple to apply and at the same time it can handle system nonlinearities very effectively. ANFIS controller gives better dynamic response and it is faster than proposed controllers. Dynamic analysis was done without controller, with Proportional Integral Derivative controller (PID controller), Fuzzy controller, Linear Quadratic Regulator (LQR), and with Adaptive Neuro-Fuzzy Inference System (ANFIS) controller using Matlab/Simulink. The results of ANFIS controller was compared with results obtained from other controllers and it is observed that it has improved system performance in terms of steady state response and reduced oscillations and at the same time it is faster than above proposed controllers.</abstract>
<publication_date>May - July 2017</publication_date>
<copyright>Copyright &copy; 2017 i-manager publications. All rights reserved.</copyright>
<publisher>i-manager Publications</publisher>
<article_url>http://www.imanagerpublications.com/Article.aspx?ArticleId=13681</article_url>