International Journal of Robotics and Automation (IJRA) Vol.8, No.1, March 2019, pp. 133~145 ISSN: 2089-4856, DOI: 10.11591/ijra.v8i1.pp133-145  133 Journal homepage: http://iaescore.com/journals/index.php/IJRA Intelligent tuned PID controller for wind energy conversion system with permanent magnet synchronous generator and AC-DC-AC converters T. Muthukumari 1 , T. A. Raghavendiran 2 , R. Kalaivani 3 , P. Selvaraj 4 1 Department of Electrical and Electronics Engineering, Anna University, India 2 Department of Electrical and Electronics Engineering, Sri Venkateshwara college for women, India 3 Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, India 4 Department of Electrical and Electronics Engineering, Prathyusha Engineering College, India Article Info ABSTRACT Article history: Received Feb 22, 2019 Revised Apr 22, 2019 Accepted May 5, 2019 This paper presents the intelligent tuned PID controller-based Single Ended Primary Inductor Converter (SEPIC) for Maximum Power Point Tracking (MPPT) operation of Wind Energy Conversion System (WECS). As the voltage and frequency of the Permanent Magnet Synchronous Generator (PMSG) varies with the wind speed changes, Intelligent controlled SEPIC is utilized to maintain the constant DC link voltage. The intelligent tuned PID controller combines the advantages of both conventional and soft controllers. The 1.5MW variable speed WECS (VSWECS) with AC-DC-AC converter is developed using MATLAB/Simulink software. PMSG delivers a load/utility grid through an uncontrolled diode rectifier, intelligent controlled SEPIC and three phase inverter. The real time implementation of the proposed system is done by the DSP processor MSP430F5529. The performance of the SEPIC is tested in both simulation and experiment at different wind speed conditions. The performance of the proposed Intelligent MPPT control of SEPIC are compared with the conventional PID controller. Intelligent tuning of PID controller such as Fuzzy-PID, and ANFIS-PID is implemented in the proposed system and results are compared. The simulation and experimental results reveals that the proposed ANFIS method provide improved performance than the conventional PID method in terms of power quality. Keywords: ANFIS Fuzzy Intelligent control PID SEPIC Wind Energy Conversion System Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: T. Muthukumari, Research scholar, Department of Electrical and Electronics Engineering, Anna University, India. Email: muthukumari123@yahoo.co.in 1. INTRODUCTION The electrical energy demand increases day by day because of the increase in population around the world and shortage of the natural sources like coal, oil and natural gas for the generation of electricity. The renewable energy sources such as solar energy, wind energy, hydroelectric, biomass, and geo thermal solve the problem caused by the natural resources. The advantages of renewable power generations are sustainable, clean energy, non-pollutant, less maintenance, less cost, no carbon dioxide emission, or other chemical pollutant. However, the renewable energy sources mainly depend on unpredictable weather condition and geographical conditions for the production of good quality of electrical power. Out of all the renewable energy sources, the most promising source satisfying all the requirements is the wind. Wind energy is one of the most available and exploitable form of renewable energy. The worldwide wind energy capacity has stepped forward and it is an important competitor to the conventional energy sources.