The simulation and analysis of fault diagnosis and isolation for gas turbine control system

Asif, Muhammad Shahzad Qamar (2018) The simulation and analysis of fault diagnosis and isolation for gas turbine control system. MSc(R) thesis, University of Glasgow.

Abstract

The gas turbine engines are vital elements of modern aviation and mechanical industry. However, due to complexity in nature and operation, they require a complete monitoring to avoid unforeseen damages and faults in routine operation. This study involves the development of some suitable strategies for diagnosis and isolation of certain faults in a simulated gas turbine engine and to recommend corresponding recovery measures. In order to proceed with study of fault diagnosis and isolation, mathematical model of the gas turbine engine is required because mathematical models are best source for analysis of different dynamic aspects of a system. The models not only depict a picture of system operation at different instants of time but also provide framework for design of their control systems. In the present research study, the gas turbine engine is modelled in Simulink /MATLAB using mathematical equations regarding flow in different parts of the engine. The model is then simulated, tested and validated against published results of a physical gas turbine system by using analogue matching procedure. The model validation confirms its suitability and reliability for further work of the research study.
After studying behavior of this mathematical model, a fuel flow controller is designed using Proportional-Integral (PI) controller. This fuel flow controller intends to control number of revolutions per second and hence thrust of the engine. The controller is tuned to get desired spool speed from the engine by controlling fuel flow rate in combustion chamber of the engine. After controlling the fuel flow, the modelled system is tested for fault detection and isolation (FDI). The deviation of parameters of faulty plants from those of healthy model are recorded as residuals. Residual analysis using model based methodology is adopted to carryout fault diagnostic studies. The analysis of these residuals provides us detailed knowledge of the faults based on their nature and location in the gas turbine system. This study deals with mainly three types of faults namely the sensor, actuator and component faults. The faults are implanted in the gas turbine model and simulations are run to collect data about the faults. The data obtained through comprehensive simulations and numerical results is used to differentiate among sensor, actuator and component faults in gas turbine engine. After having detailed knowledge about faults in the gas turbine system, suitable recommendations have been made to recover the system from these faults.

• Item Type: Thesis (MSc(R))
• Qualification Level: Masters
• Keywords: Gas turbine engine, fault diagnosis and isolation (FDI), control systems, aerospace propulsion systems, PID controller.
• Subjects: T Technology > TJ Mechanical engineering and machinery; T Technology > TL Motor vehicles. Aeronautics. Astronautics
• Colleges/Schools: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Supervisor's Name: McGookin, Dr. Euan
• Date of Award: 2018
• Depositing User: Mr Muhammad Shahzad Qamar Asif
• Unique ID: glathesis:2018-8744
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 16 Feb 2018 11:29
• Last Modified: 04 Apr 2018 07:34
• URI: https://theses.gla.ac.uk/id/eprint/8744