粒子群优化变论域模糊PID控制在风电机组变桨距中的应用

Application of variable universe fuzzy PID control optimized by particle swarm in variable pitch of wind turbine

风力发电机变桨距系统采用传统PID控制,不仅超调大、调节时间长、精度低,而且在超过额定风速时,风电机组的输出功率波动比较剧烈,误差较大。该文采用粒子群优化算法改进变论域模糊PID控制器,仿真结果表明:粒子群优化变论域的模糊PID控制器具有良好的动态性能及对风速扰动的鲁捧性,可以平稳地输出功率。

The traditional PID control is applied to the wind turbine variable pitch system with dis-advantages of large overshoot, long adjustment time and low precision, moreover, when the wind speed exceeds the rated value, the wind turbine output power fluctuation is more intense, leading to bigger er-ror. In this paper, the particle swarm optimization algorithm is used to improve the variable universe fuzzy PID controller. The simulated results show that the variable universe fuzzy PID controller improved by particle swarm optimization has good dynamic performance and robustness to wind speed disturbance and can output power smoothly.