基于NMPC-PID的大型风电机组独立变桨距载荷控制  

INDIVIDUAL PITCH LOAD CONTROL OF LARGE WIND TURBINES BASED ON NMPC-PID

作　　者：曹松青 郝万君[1] Cao Songqing;Hao Wanjun(Institute of Electronics and Information Engineering,Suzhou University of Science and Technology,Suzhou 215009,Jiangsu,China)

机构地区：[1]苏州科技大学电子与信息工程学院,江苏苏州215009

出　　处：《计算机应用与软件》2020年第10期34-40,共7页Computer Applications and Software

基　　金：国家自然科学基金项目(51477109,61703296)。

摘　　要：为了更有效地减小大型风电机组在高风速区运行时的不平衡载荷,提出一种将非线性预测控制与PID控制相结合的独立变桨距控制策略。该控制策略采用RBF神经网络对风电机组的模型进行在线辨识和校正,并基于辨识的模型进行预测控制,以解决工况点转移、模型参数摄动的问题。为克服外部不可测量扰动的影响,在俯仰力矩和偏航力矩的通道上各添加一个PID控制器进行反馈补偿。以高风速区俯仰力矩和偏航力矩控制问题为例,通过MATLAB中的Simulink平台验证了所提方法的可行性和有效性。仿真结果表明:所提出的NMPC-PID控制策略能够有效解决内外扰动,具有较强的鲁棒性;在同等条件下,该方法比MPC和NMPC具有更优的控制性能。In order to reduce the unbalanced load of large wind turbines in high wind speed region more efficiently,we propose an independent pitch control strategy combining nonlinear predictive control and PID control.The control strategy used RBF neural network to identify and correct the wind turbine model online,and the predictive control was carried out based on the identified model,so that the problem of working point transfer and model parameter perturbation could be solved.In order to overcome the influence of external unmeasurable disturbance,a PID controller was added to the channels of pitching moment and yaw moment for feedback compensation.Taking the pitching moment and yaw moment control problem in high wind speed zone as an example,the feasibility and effectiveness of our method were verified on MATLAB/Simulink platform.The simulation results show that the proposed NMPC-PID control strategy can effectively solve internal and external disturbance,and it has strong robustness.Under the same conditions,our method has better control performance than MPC and NMPC.

关 键 词：非线性预测控制(NMPC) RBF神经网络 风电机组 独立变桨 载荷控制 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]