A Robust Adaptive Reconfiguration Method for Micro Gas Turbine Faults

Abstract

The invention proposes a micro gas turbine failure robust self-adaptive reconfiguration method. First, the micro gas turbine component level nonlinear component level model is established, and then the nonlinear system is mathematically described by the TS fuzzy mathematics method, and the TS fuzzy The Gaussian membership function used in the system is optimized to improve the accuracy of the mathematical model. Then the state estimation based sliding mode observer method is used for fault reconstruction. When designing a non-singular terminal sliding mode observer, a linear transformation is introduced into the TS fuzzy system to separate the fault signal from the interference signal. The adaptive law updates the sliding mode gain in real time to eliminate the influence of unknown faults and disturbances on the sliding mode motion. Experimental results show that the invention is robust to unknown faults and disturbances with upper bounds on the rate of change, and can realize reconstruction of unknown faults in a very short time.

Description

technical field [0001] The invention belongs to gas turbine fault diagnosis technology, in particular to a micro gas turbine robust fault reconstruction method based on a TS fuzzy model and a non-singular sliding mode observer design method. Background technique [0002] In recent years, Microturbine technology has developed rapidly as Distributed Generation. It has the advantages of simple structure, easy installation, low vibration and high reliability. It can reduce power loss, and the energy utilization rate is as high as 70%-90%. The control of micro gas turbines for power generation is mainly research on the control of micro gas turbines and high-speed permanent magnet generators. Scholars at home and abroad have carried out a lot of research work, but few consider the control methods when gas turbines fail. Research in the field of control Among them, fault detection and isolation is an important research direction, and system fault diagnosis (Fault diagnosis) techno...

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Problems solved by technology

The fault diagnosis method based on state estimation mainly includes the filter method and the observer method. The sliding mode observer has strong robustness and fault tracking ability, but it introduces high-frequency switching items that are easy to cause chattering, and the fault of the sliding mode observer Diagnostic technology is still a difficult point in the field of research

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