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LIDAR-based wind speed modelling and control system design

机译:基于LIDAR的风速建模与控制系统设计

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摘要

Abstract—The main objective of this work is to explore the feasibility of using LIght Detection And Ranging (LIDAR) measurement and develop feedforward control strategy to improve wind turbine operation. Firstly the Pseudo LIDAR measurement data is produced using software package GH Bladed across a distance from the turbine to the wind measurement points. Next the transfer function representing the evolution of wind speed is developed. Based on this wind evolution model, a model-inverse feedforward control strategy is employed for the pitch control at above-rated wind conditions, in which LIDAR measured wind speed is fed into the feedforward. Finally the baseline feedback controller is augmented by the developed feedforward control. This control system is developed based on a Supergen 5MW wind turbine model linearised at the operating point, but tested with the nonlinear model of the same system. The system performances with and without the feedforward control channel are compared. Simulation results suggest that with LIDAR information, the added feedforward control has the potential to reduce blade and tower loads in comparison to a baseline feedback control alone.
机译:摘要—这项工作的主要目的是探索使用测光测距(LIDAR)测量的可行性,并制定前馈控制策略以改善风力发电机的运行。首先,使用GH Bladed软件包在从涡轮到风力测量点的整个距离上生成伪LIDAR测量数据。接下来,开发表示风速演变的传递函数。基于此风演化模型,采用模型逆前馈控制策略进行高于额定风速条件下的桨距控制,其中LIDAR测得的风速被馈入前馈。最后,通过开发的前馈控制来增强基线反馈控制器。该控制系统是基于在工作点处线性化的Supergen 5MW风力发电机模型开发的,但已使用同一系统的非线性模型进行了测试。比较了有和没有前馈控制通道的系统性能。仿真结果表明,与单独的基线反馈控制相比,有了LIDAR信息,增加的前馈控制有可能减少叶片和塔架负载。

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