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Distributed Network System for Real-Time Model Based Control of Industrial Gas Turbines

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conference contribution
posted on 2024-02-07, 21:05 authored by Vili PanovVili Panov

This paper describes the development of a distributed network system for real-time model based control of industrial gas turbine engines. Distributed control systems contribute toward improvements in performance, testability, control system maintainability and overall life-cycle cost. The goal of this programme was to offer a modular platform for improved model based control system. Hence, another important aspect of this programme was real-time implementation of non-linear aero-thermal gas turbine models on a dedicated hardware platform. Two typical applications of real-time engine models, namely hardware-in-the-loop simulations and on-line co-simulations, have been considered in this programme. Hardware-in-the-loop platform has been proposed as a transitional architecture, which should lead towards a fully distributed on-line model based control system. Distributed control system architecture offers the possibility of integrating a real-time on-line engine model embedded within a dedicated hardware platform. Real-time executing models use engine operating conditions to generate expected values for measured and non-measured engine parameters. These virtual measurements can be used for the development of model based control methods, which can contribute towards improvements in engine stability, performance and life management. As an illustration of model based control concept, the example of gas turbine transient over-temperature protection is presented in this study.

History

School affiliated with

  • School of Engineering (Research Outputs)

Publisher

ASME

ISBN

9780791854631

Date Submitted

2023-04-27

Date Accepted

2011-06-06

Date of First Publication

2012-05-03

Date of Final Publication

2012-05-03

Event Name

ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition

Event Dates

June 6–10, 2011

Date Document First Uploaded

2023-04-20

ePrints ID

54437

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