Hybrid Model Predictive Control and Fault Detection of Wind Energy Conversion System Based on Mixed Logical Dynamic
作者单位：Key Lab of Field Bus and Automation of BeijingNorth China University of Technology
会议名称：《第26届中国控制与决策会议》
会议日期：2014年
学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by Beijing Nature Science Foundation under Grant:4132021
关 键 词：Wind Energy Convert System Hybrid Model Predictive Control Moving Horizon Estimation Fault Detection.
摘 要：The main contribution of this paper is the development of hybrid model predictive control and fault detection strategy for wind energy conversion system（WECS） based on mixed logic dynamic（MLD） model framework. The MLD model for WECS including multiple work regions is established. Also the hybrid model predictive control method based on the MLD model of WECS is adopted to implement the variable speed constant frequency control and variable pitch control for the optimal power tracking. The mixed logic dynamic fault（MLDF） model is also established for generator speed sensor fault and the pitch actuator fault of WECS. Moving horizon estimation（MHE） method is applied to estimate the fault states of WECS based on MLDF model of WECS. The performance and the efficiency of the proposed approaches validated via simulations.