Improvement of the performance of wind turbines as a source of clean energy production depends on the ideal control. In this paper a controller design based on fuzzy logic and for partial load region of wind turbine has been discussed. Here, fuzzy logic is used as a gain scheduler for classical controller. In the structure of the Controller, feedback signal of angular velocity of generator rotor is used to adjust the torque on the generator, while the pitch angle was kept constant on the optimal value. Fuzzy rule-base of supervisory system was derived based on responses of the turbine system to the controller with various gains which lead to track the ideal power curve. Simulation results confirmed the improvement of system response in comparison to the controlling without fuzzy supervisory.

No abstract

This paper is devoted to design a control system for robot manipulator to optimize motor torque due to external impulsive loading exerted on the manipulator. Under impulsive loading, overloading may occur in the absence of any monitoring on the torque. To avoid the overloading, impedance control is proposed as a force control strategy. Here impedance control based on force feedback of which has hit the end-effector modifies the reference trajectory. In fact, instead of resisting against impulsive loading up to extreme power of the motor, the proposed design generates small movements in the direction of impact. Therefore, the motor produces less torque in comparison to the absence of impedance control. A supervisory system assisting fuzzy logic has been used to adapt impedance controller parameters with various impact conditions. The simulation result confirms the improvement of the manipulator behavior which yields sensible reduction in motor developed torque in comparison to single PID controller.