Fault Detection and Isolation of automotive Air Conditioning systems using first principle models. (October 2015)

• Record Type: Journal Article
• Authors: Zhang, Quansheng; Canova, Marcello
• Is Part Of: Control engineering practice. Volume 43(2015)
• Page Start: 49
• Page End: 58
• Publication Date: 2015-10
• Subjects: Air Conditioning system -- H∞ filter -- Moving Boundary Method -- Fault Detection and Isolation; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2015.06.005
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Although model-based Fault Detection and Isolation (FDI) has become a common design tool in automotive fields, its application to automotive Air Conditioning (A/C) systems based upon vapor compression cycles is limited due to the lack of control-oriented models characterizing the refrigerant phase change. The emergence of Moving Boundary Method (MBM) illuminates a promising way of assisting FDI scheme development, because common faults in automotive A/C systems, such as compressor fault, pressure transducer fault and fouling fault, can be easily incorporated by the control-oriented model developed. Out of various observed-based FDI methods, the H ∞ filter technique, due to its robustness to model uncertainties and external disturbances, is chosen for designing FDI scheme over actuator/sensor/parameter faults. The model and the filter are connected closed-loop by an H ∞ controller gain-scheduled to meet different cooling loads. From the closed-loop analysis results, the H ∞ filter is capable of detecting and isolating actuator/sensor faults, as well as estimating parameter faults, even if external disturbances imposed on the air side of the evaporator exist. Abstract : Highlights: Adopt a control-oriented model of the air conditioning system for fault diagnosis. Adapt the actuator/sensor/parametric fault diagnosis to a well-established H ∞ filter framework. Investigate gain-scheduled possibility by varying working point. Test filter robustness against model uncertainty. Validate algorithm on air conditioning model with satisfactory performance.