Canadian Journal on Electrical and Electronics Engineering Vol. 2, No. 6, June 2011 202 Design Optimal of Adaptive Control and Fuzzy Logic Control on Torque-Shaft Small Scale Wind Turbine Ali Musyafa (1) , I.Made Yulistiya Negara (2) , Imam Robandi (3) Abstrac – In this paper carried adaptive controller design and fuzzy logic control (FLC) is applied to the wind turbine shaft torque. Design goal to improve the performance of wind turbines to increase efficiency. Control system designed to facilitate adaptive estimation of the "shaft torque" wind turbines. Estimated torque reference applaid to provide torque to the subsequent induction machine connected to the turbine through a gearbox arm. Adaptive controllers, linear feedback, designed to ensure the existence of a linear relationship to the turbine system with a guarded the turbine speed and load changes from energy users. Fuzzy Logic Control aalso developed which is intelligent control in wind turbine systems. Changes input are designed based on wind data from the next field to find out for imbalance, dynamic stability and tracking of changes in turbine speed. Reference speed controller is a function of wind speed varied selected to ensure that the system can produce optimal energy. The results show that the performance of control systems designed to give a good response to fluctuating wind speeds. FLC able to produce a better system performance in line with expectations. Keywords - Wind turbine, Adaptive control, Linear feedback, PID Control , Fuzzy Logic Control (FLC). ______________________________________________________________________ 1 Ali Musyafa’ is with Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih Sukolilo, Surabaya, Indonesia, 60111 and Engineering Physics Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih Sukolilo, Surabaya, Indonesia, 60111 (corresponding) phone: +62-31-5947188, fax: +62-31-5923626; e-mail: musyafa@ep.its.ac.id ). I. Made Yulistya Negara 2 and Imam Robandi 3 are with Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Keputih Sukolilo, Surabaya, Indonesia, 60111. I. INTRODUCTION Wind speed and other variables that will determine influence appropriate alternative for the implementation of control systems in a plant[1-2].The geographical position of a region also affects the wind speed, for example in the upstream or coastal areas. Local topology can be used to conduct a study of wind turbine applications[2-3]. There are many types of wind turbine configurations that can be used to extract the energy and connection with the use of synchronous or asynchronous machines, stall regulation and pitch regulation system [4- 5]. Variations in wind speed can produce exctract for further wind power into electrical energy transformation and electricity sent through the network with a particular specification. [6-7]. Wind speed data used in this study is the sampled data from the Meteorological Station: Surabaya Juanda Meteorology Station, Location: '07 0 23 '05 "70 S: 112 0 47' 02” 68 E, elevation: 28 meters, Element: Wind, measuring tool: Anemometer, Units: Knots, data from BMG converted into units meters per second (m/s) [8]. Wind speed data are grouped into 3 zones based on the level of speed. 1zone speed range (0,1- 2) m/ s. 2 zone speed range (2,1-3,9) m/s, and 3 zone speed range (4-7) m/s. One of the wind speed profile is shown in Fig.1.[1-2]. 0 50 100 150 200 250 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 time (s) V (m/s) Fig. 1. INPUT WIND SPEED (m/s)