Now a days, many researchers are focusing on renewable energy sources due to the fact thatrnthe cost of fuel is growing up in day to day activity and to decrease or limit environmentalrneffects.Wind energy is one of the fastest growing up energy source due to its cost effectivenessrnand availability. rnIn this thesis, optimal controller is proposed to extract maximum wind energy from the availablernwind speed. To extract wind energy, the very volatile nature of wind speed has made it difficultrnthe energy extraction process. Deterministic dynamic programing algorithm is chosen to designrnoptimal controller. This type of numerical programming algorithm is highly applicable for the nonlinearrnmodel ofrnwindrnturbine systemrnandrnitsrnconstraints.rnrnrnThe contribution of this thesis is that instead of standard torque control, optimal controller isrnemployed to globally optimize wind energy capture under variable wind condition in regionrntwo(from cut-in to rated wind speed) operation of wind turbine system. The performance of thisrncontrol method is tested via MATLAB software. The outcomes of the system have 7 up to 8.5 tiprnspeed ratio optimal value and the aerodynamic efficiency has 0.411 conversion value. And alsornthe optimal controller captured 13.841% more energy than STC for the piecewise step input windrnspeed. For the randomly generated wind speed pattern, the optimal controller captured 1.15%rnmore energy than the STC. The lower percentage improvement in this case is due to the limitedrnrange of the wind speed value given for the simulation.