A Robust Adaptive Reconfiguration Method for Micro Gas Turbine Faults

A kind of micro gas turbine, fault robust technology, applied in the direction of adaptive control, instrument, control/regulation system, etc., can solve the problems of chattering, difficult fault diagnosis technology of sliding mode observer, etc.

Active Publication Date: 2021-05-11
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 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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  • A Robust Adaptive Reconfiguration Method for Micro Gas Turbine Faults
  • A Robust Adaptive Reconfiguration Method for Micro Gas Turbine Faults
  • A Robust Adaptive Reconfiguration Method for Micro Gas Turbine Faults

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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 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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Application Information

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Patent Type & Authority Patents(China)
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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