摘要
针对目前PID变桨控制策略难以解决外界强干扰给风力发电机组所带来的影响,设计一种以自抗扰控制为基础的风电变桨控制器,并用蚁群优化算法对变桨控制器的参数进行在线寻优。利用MATLAB/Simulink仿真软件对所设计的自抗扰变桨控制器和所应用的算法进行仿真实验论证。仿真结果表明,将蚁群算法应用在控制器参数优化过程中,不仅算法收敛速度快,而且也提高了变桨距控制系统的抗扰能力和控制精度,使得系统的鲁棒性更强,发电质量更高。
In view of the fact that the current PID pitch control strategy is difficult to solve the impact of strong external disturbances on wind turbines,a wind power pitch controller based on auto disturbance rejection control is designed,the parameters of which are optimized by ant colony algorithm parameters for online optimization.MATLAB/Simulink simulation software was used to simulate the experimental design of the auto-rejection variable pitch controller and the applied algorithms.The simulation results show that applying the ant colony algorithm to the controller parameter optimization process not only speeds up the algorithm convergence,but also improves the anti-disturbance capability and control accuracy of the variable pitch control system.It makes the system more robust,and makes the system to have higher power generation quality.
作者
贺耀庭
谢源
李少朋
张凯
He Yaoting;Xie Yuan;Li Shaopeng;Zhang Kai(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)
出处
《计算机应用与软件》
北大核心
2022年第10期64-70,共7页
Computer Applications and Software
基金
国家自然科学基金项目(61374136)
上海市科学技术委员会科研项目(17DZ1201200)。
关键词
风力发电机组
变桨距控制
PID控制
自抗扰控制
蚁群算法
Wind turbine
Variable pitch contro
PID control
Auto disturbance rejection control
Ant colony algorithm
