In a wind turbine generator, it is difficult to achieve a good control performance using the conventional PID variable pitch controller because of the multi-variables and nonlinearities of the controller. Based on the principles of variable pitch control of a wind generating set, this study introduces a mathematical model for wind turbine generators and proposes a variable pitch fuzzy PID control method by combining the fuzzy control and PID control methods to effectively overcome the deficiencies of the conventional PID controller. In order to enhance self-learning and predictability of the system, an improved method for the variable pitch control of the fuzzy PID is proposed based on an online support vector machine (SVM). Finally, the simulation comparisons show that the fuzzy PID variable pitch control based on the SVM further improves the control performance of a variable pitch wind turbine generator. In addition, it is robust at random wind speeds and can adjust the pitch angle more smoothly. It ensures a stable output power of wind turbine generator, thus effectively improving the control performance of the variable pitch system of the wind generating set.
Model Reduction of Wind Turbine Generator Models for Control Performance Evaluation
