Robust adaptive fault reconstruction method of microturbine

Abstract

The invention provides a robust adaptive fault reconstruction method of a microturbine. The method comprises that a nonlinear part level model of the microturbine is established, a TS fuzzy mathematical method is used to describe a nonlinear system mathematically, and an optimization method is used to optimize a Gaussian-like membership function used in a TS fuzzy system so as to improve the precision of the mathematical model; a state estimation based sliding form observer method is used to reconstruct a fault; and when a nonsingular terminal sliding form observer is designed, linear transformation is introduced into the TS fuzzy system to separate a fault signal from an interference signal, applied interference and a fault signal whose upper bounds of the change rate are not known can be reconstructed simultaneously, and an adaptive law is introduced to update the sliding form gain in real time to eliminate influence of the fault and interference with unknown upper bound of the change rate on sliding form motion. According to experimental results, the method is robust to the fault and interference with unknown upper bound of the change rate, and the unknown fault can be reconstructed in extremely 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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