基于鲸鱼群算法的PID独立变桨控制参数整定方法

Parameter Tuning Method of PID Individual Pitch Control Based on Whale Swarm Algorithm

随着风电机组单机容量不断上升,叶轮直径不断增大,风剪塔影造成的载荷波动不断增大,严重影响机组的安全运行。因此,独立变桨控制应运而生。而PID独立变桨控制算法在行业中已有广泛应用,其研究重点之一是PID控制器的参数整定方法研究。文章提出一种基于鲸鱼群算法的PID独立变桨控制参数整定方法,首先提出一种考虑系统调节时间、超调量及稳定裕度的目标函数,接着将邻域搜索策略加入带迭代计数器的鲸鱼群算法,有效提高全局搜索能力,最后将改进的鲸鱼群算法与粒子群以及遗传算法进行对比。试验结果证明了鲸鱼群算法的有效性和实用性。

With the continuous increase of the rated power of the wind turbine,the impeller diameter increases,and the load fluctuation caused by the wind shear and tower shadow effect increases,which seriously affects the safe operation of the wind turbine.Therefore,individual pitch control came into being.The PID individual pitch control algorithm is widely used in the industry,and one of its research focuses is the parameter tuning method of the PID controller.A PID independent pitch control parameter tuning method based on the whale swarm algorithm is proposed.Firstly,an objective function considering the system regulation time,overshoot and stability margin is proposed.Then,the neighborhood search strategy is added to the whale swarm algorithm with iterative counter to effectively improve the overall search ability.Finally,the improved whale swarm algorithm is compared with particle swarm algorithm and genetic algorithm.The experimental results show that the algorithm is effective and practical.