Robust adaptive fault reconstruction method of microturbine

A micro gas turbine, fault robust technology, applied in adaptive control, instrumentation, control/regulation system, etc., can solve the problems of difficult fault diagnosis technology and chattering of sliding mode observers, and achieve the improvement of accuracy and realization of reconstruction. Effect

Active Publication Date: 2019-09-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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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...

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  • Robust adaptive fault reconstruction method of microturbine
  • Robust adaptive fault reconstruction method of microturbine
  • Robust adaptive fault reconstruction method of microturbine

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Embodiment Construction

[0039] In order to describe the technical solutions disclosed in the present invention in detail, the present invention will be further elaborated below in conjunction with the accompanying drawings and embodiments.

[0040] Such as figure 1 As shown, the micro gas turbine is composed of an inlet, a compressor, a combustion chamber, a gas turbine, and a regenerator. The air passes through the intake port and the compressor to form high-pressure gas, which is burned in the combustion chamber, and the high-temperature and high-pressure gas obtained is sent to the turbine to expand and do work, driving the turbine to rotate at a high speed. At the same time, the turbine drives the compressor to rotate, so that the micro gas turbine works at a very high speed. The turbine outlet gas preheats the compressor inlet airflow in the regenerator, thereby improving energy utilization efficiency. The micro gas turbine drives the permanent magnet synchronous generator to generate electric...

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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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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 肖玲斐孟中祥徐敏马磊明阮祝鑫
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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