LMI-based Unknown Input Observer Fault Diagnosis Approach for Aero-engine Compressor Discrete Model

摘要：

The full order robust unknown input observers for aero-engine compressor discrete systems are presented. The observers are designed for linear systems considering both noise and uncertainties. First, the aero-engine discrete model is obtained by using the linear fitting approach which is based on the neural network method. Then, an unknown input observer is designed for linear discrete systems. The observer is derived based on linear matrix inequality (LMI) approach. The main advantage of these observers over the existing works on UIO design is that these can handle both noise and uncertainties simultaneously. The performance of the observers is demonstrated by applying it to the robust state estimation of aero-engine compressor model.

关键词： aero-engine compressor discrete model unknown input observer eigenstructure assignment linear matrix inequality (LMI) fault detection and isolation (FDD

作者: HE Chen ZHANG Xiao-dong Ron J Patton

作者单位: School of Power and Energy,Northwestern Polytechnical University Xian, China Control & Intelligent Systems Engineering, Faculty of Science, University of Hull,Cottingham Road, H

会议类型: 国际会议

会议名称: 4th International Symposium on Jet Propulsion and Power Engineering(第四届喷气推进与动力工程国际会议 ISJPPE2012)

会议地点: 西安

会议语种:英文

页码: 553-558

在线出版日期: 2012-09-10（万方平台首次上网日期，不代表论文的发表时间）