Fault estimation for aero‐engine LPV systems based on LFT. Issue 1 (27th August 2019)

• Record Type: Journal Article
• Authors: Wang, Rui; Liu, Min; Ma, Yanhua
• Is Part Of: Asian journal of control. Volume 23:Issue 1(2021)
• Page Start: 351
• Page End: 361
• Publication Date: 2019-08-27
• Subjects: aero‐engine -- fault estimation -- full block S‐procedure -- linear fractional transformation -- linear parameter‐varying; Automatic control -- Periodicals; Control theory -- Periodicals; 629.805
• DOI: 10.1002/asjc.2204
• Languages: English
• ISSNs: 1561-8625

Abstract

Abstract: In this paper, a fault estimator with linear fractional transformation (LFT) parameter dependency is designed for the linear parameter‐varying (LPV) system of the aero‐engine with both sensor and actuator faults under disturbances. After an aero‐engine affine parameter‐dependent LPV model is derived by the linear fitting method and matrix pseudo‐inverse method, the LPV model with disturbances and fault signals is transformed into a LFT structure. Based on the full block S‐procedure, the sufficient condition for the existence of the fault estimator is proposed, which can lead to less conservative results. Then the fault estimator design algorithm which can adjust to the current system dynamic adaptively is presented. Finally, a fault estimator is designed for a turbofan aero‐engine under multiple types of faults and disturbances to demonstrate the effectiveness of the proposed method.