Sensorless Yaw Control for Wind Turbine using Simultaneous Perturbation Stochastic Approximation

Y.-Y. Hong, Y.-W. Chou, and W.-M. Luo (Taiwan)


Yaw Control, Stochastic Optimization, PID Controller, Wind Turbine


Wind turbine generation (WTG) system can increase its real power generation through variable-speed control and yaw control. The variable-speed control means that the rotor velocity may be controlled according to the variation of the wind speed for achieving the maximum power point tracking. The yaw control indicates that the horizontal axis wind turbine needs extra devices to orientate the rotors against the wind direction. On the other hand, simultaneous perturbation stochastic approximation (SPSA) algorithm is a highly efficient gradient approximation that relies on two measurements of the objective function. This paper addresses a sensorless yaw control by realization of SPSA for on-line parameter tuning for the PID controller. A DC motor is used as a plant for illustrating the position control performance. The SPSA is realized in a field-programmable gate arrays (FPGA) development board. Experimental results show that realization of SPSA for WTG is very efficient.

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