中国电机工程学报2016，Vol.36Issue(18)：5062-5069,8.DOI:10.13334/j.0258-8013.pcsee.151313
大型风电机组激光雷达辅助模型预测控制方法
Approach to Model Predictive Control of Large Wind Turbine Using Light Detection and Ranging Measurements
摘要
Abstract
With increasing size of large wind turbine, control methods faces new opportunities and challenges, the development of remote sensing technology provides a new research field of the traditional control strategy. This paper focused on the design of light detection and ranging (LIDAR) assisted model predictive control (MPC) of wind turbine, it achieved wind speed disturbance feedforward compensation control. First, the blade element momentum (BEM) theory have analyzed the wind turbine loads and LIDAR forecast wind speed of the rotor windward side, used of extended Kalman filter reconstruct unknown nonlinear wind turbine model for prediction horizon state values real-time processing, it solved the minimum objective function to get the current system time of the optimal control strategy, to minimize the reference trajectory and the output value. Finally, the experiment of traditional control method comparative with LIDAR assisted LMPC and NMPC, the results show that combination of LIDAR and MPC can improve power coefficient of large wind turbines and mitigate the fatigue load of wind turbine.关键词
风电机组/模型预测控制/二次规划/扩展卡尔曼滤波/激光雷达/等效疲劳载荷Key words
wind turbine/model predictive control (MPC)/quadratic programming/extended Kalman filter/light detection and ranging (LIDAR)/equivalent damage loads (DELs)分类
信息技术与安全科学引用本文复制引用
韩兵,周腊吾,陈浩,田猛,邓宁峰..大型风电机组激光雷达辅助模型预测控制方法[J].中国电机工程学报,2016,36(18):5062-5069,8.基金项目
科技部国际合作项目(2011DFA62890)。Program for International S&T Cooperation Projects of China (2011DFA62890) （2011DFA62890）
