Wang, Mengling and Yue, Hong and Bao, Jie and Leithead, William E. (2015) LIDAR-based wind speed modelling and control system design. In: 21st IEEE International Conference on Automation and Computing (ICAC 2015), 2015-09-11 - 2015-09-12, University of Strathclyde.
Wang_etal_ICAC2015_LIDAR_based_wind_speed_modelling_control_system_design.pdf - Accepted Author Manuscript
Download (718kB) | Preview
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||wind turbine control, light Detection And Ranging (LiDAR), disturbance rejection, wind speed evolution, feedforward control, Optics. Light, Electrical engineering. Electronics Nuclear engineering, Atomic and Molecular Physics, and Optics, Ecological Modelling, Electrical and Electronic Engineering|
|Subjects:||Science > Physics > Optics. Light
Technology > Electrical engineering. Electronics Nuclear engineering
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||11 Dec 2015 07:25|
|Last modified:||01 Apr 2017 03:42|