摘要
为解决风力机控制系统在不同风况下稳定性差的问题,设计了一种变桨距自抗扰控制器,估计和补偿了系统未知环节和外界扰动,实现输出功率在不同风速下稳定输出。针对自抗扰控制器参数多且难以整合的特点,融入混沌粒子群优化(CPSO)算法优化控制器的参数,减少了参数整定的数目,提高了系统控制精度和效率。对额定功率为300 kW的风电机组在不同风速作用下进行仿真,结果表明,该方法可以快速调节风速变化引起的输出波动,能够使控制系统输出平稳且超调量小,具有较好的稳定性和鲁棒性。
In order to solve the problem of the poor stability under different wind conditions,an active disturbance rejection controller is designed,which estimate the system un-modeled part and compensate the interference,thereby achieve output power stable at different wind speed.Aiming at the parameters of active disturbance rejection controller is difficult to integrate,CPSO algorithm is used to optimize parameters of the controller reduced the number of parameters that need to be set and improved system control accuracy and efficiency.The controller is simulated in different wind conditions in the 300kW wind turbines,simulation results show that it can quickly adjust the output fluctuation caused by wind velocity variation,make the system output stable and have small overshoot in any wind speed stage.Moreover,the system has good stability and robustness.
作者
贾建芳
张吉宣
戴媛媛
曾杰
蔡博
高宏力
JIA Jian-fang;ZHANG Ji-xuan;DAI Yuan-yuan;ZENG Jie(School of Electrical and Control Engineering,North University of China,Shanxi Taiyuan030051,China)
出处
《机械设计与制造》
北大核心
2020年第2期51-55,共5页
Machinery Design & Manufacture
基金
国家自然科学基金(51605393)
中央高校基础研究基金(A0920502051619-28)