Control system design of adaptive wind turbine pitch angle using particle swarm optimization algorithm

Blades on the wind turbine are moving due to the lift and drag force. During the conversion process of wind energy into electrical energy arise energy loss naturally. One of the optimization techniques of power harvesting in wind turbine is pitch angle control on the turbine blades hence, the wind turbine power output lies on optimum condition. The wind turbine control system in this paper is composed of turbine blades, servo motor as actuator, rotational connector and rotary encoder as transmitter. The best result of wind turbine prototype test shows that Power Coefficient (CP) up to 0.57510. To obtain adaptive control conform to the existing wind speed, pitch angle adjustment is controlled using PID control, with each parameters value of Kp, Ki, and Kd are equal to 0,0239069, 0.0001382, 0,053518, respectively. The parameters value are achieved by implementing PSO optimization method. According to the result of the test, the set points are 40, 60, 80 and 100 rpm, which is the system is able to reach the set point with maximum overshoot attains 26.25% and the rise time in 181 seconds. Therefore, the PID-PSO produces a better response than uncontrolled and fuzzy-based controller.Blades on the wind turbine are moving due to the lift and drag force. During the conversion process of wind energy into electrical energy arise energy loss naturally. One of the optimization techniques of power harvesting in wind turbine is pitch angle control on the turbine blades hence, the wind turbine power output lies on optimum condition. The wind turbine control system in this paper is composed of turbine blades, servo motor as actuator, rotational connector and rotary encoder as transmitter. The best result of wind turbine prototype test shows that Power Coefficient (CP) up to 0.57510. To obtain adaptive control conform to the existing wind speed, pitch angle adjustment is controlled using PID control, with each parameters value of Kp, Ki, and Kd are equal to 0,0239069, 0.0001382, 0,053518, respectively. The parameters value are achieved by implementing PSO optimization method. According to the result of the test, the set points are 40, 60, 80 and 100 rpm, which is the system is able to reach the ...