Fuzzy Computing for Control of Aero Gas Turbine Engines .

Balakrishnan, S.; Mishra, Siba Prasad; Sundararajan, V.; Damodaran, K. A.

doi:10.14429/dsj.44.4184

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…Fuzzy Computing for Control of Aero Gas Turbine Engines Certain stipulations, rules, and fuzzy logic are suggested for the control of a single spool aero gas turbine (pure fuzzy) 1994 [12] Fuzzy Scheduling Control of a Gas Turbine Aero-Engine: A Multi-objective Approach Combination of fuzzy logic and evolutionary algorithms (EA) to refine the control performance and to increase the flexibility of GTEs (pure fuzzy)…”

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confidence: 99%

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Fard

Jafari

2021

IJTPP

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The Advisory Council for Aeronautics Research in Europe (ACARE) Flight Path 2050 focuses on ambitious and severe targets for the next generation of air travel systems (e.g., 75% reduction in CO2 emissions per passenger kilometer, a 90% reduction in NOx emissions, and 65% reduction in noise emission of flying aircraft relative to the capabilities of typical new aircraft in 2000). In order to meet these requirements, aircraft engines should work very close to their operating limits. Therefore, the importance of advanced control strategies to satisfy all engine control modes simultaneously while protecting them from malfunctions and physical damages is being more crucial these days. In the last three decades, fuzzy controllers (FCs) have been proposed as a high potential solution for performance improvement of the next generation of aircraft engines. Based on an analytic review, this paper divides the trend of FCs design into two main lines including pure FCs (PFC) and min–max FCs (MMFC). These two main architectures are then designed, implemented on hardware, and applied in a case study to analyze the advantages and disadvantages of each structure. The analysis of hardware-in-the-loop (HIL) simulation results shows that the pure FC structure would be a high potential candidate for maneuverability and response time indices improvement (e.g., military applications); while min–max FC architecture has a great potential for future civil aero-engines where the fuel consumption and steady-state responses are more important. The simulation results are also compared with those of industrial min–max controllers to confirm the feasibility and reliability of the fuzzy controllers for real-world application. The results of this paper propose a general roadmap for fuzzy controllers’ structure selection for new and next generation of aircraft engines.

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Section: Paper Title Main Achievement Publication Yearmentioning

confidence: 99%

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Fard

Jafari

2021

IJTPP

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Conceptual Study on Integration of Engine Health Monitoring (EHM) System with Integrated Vehicle Health Monitoring (IVHM) System

Jha

Ramachandra

Srinivasa

2016

INCOSE International Symp

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An approach to upgrade existing control system and lean architecture principle is presented to optimize the system along with reduction of weight by understanding the physical system design, Engine Health Monitoring (EHM) system and data study from Integrated Vehicle Health Monitoring (IVHM) system (Aaseng n.d.). This paper brings out the integration of EHM sufficiency with IVHM system. Research effort to describe the hardware, software, algorithms and engine parameters required to monitor various events capturing, health and life management issues with IVHM. Here basic functionality will be performance monitoring, vibration monitoring, event monitoring (including stall, surge, over speed, flameout, over temperature, oil parameter and life monitoring) anti ice system with IVHM requirement of mission completion, safety and data protection. A systematic SE approach and methodology with need and requirement is generated using DOORS software (INCOSE 2011). Full requirement capture with engine designer and aircraft designer (Harinarayana, Developing light combat aircraft: foresight as the guiding principle 2004) for integrating with IVHM (Philip A. Scandura October 30, 2005)has been studied and brought out to model the concept using Rhapsody software. Here various operational scenarios has been attempted to make the functional model. Functional model has been tested for various operational issues and a final configuration has been proposed to the designer (Jaw, Van and Mink 7 – 10 May 2007). This study has brought out a perspective work model for a designer and as a result of this the final product will be tested for integrating the EHM with IVHM

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Fuzzy modelling considerations in an aero gas turbine engine start cycle

Balakrishnan¹,

Santhakumar²

1996

Fuzzy Sets and Systems

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Fuzzy Computing for Control of Aero Gas Turbine Engines .

Cited by 4 publications

References 4 publications

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Conceptual Study on Integration of Engine Health Monitoring (EHM) System with Integrated Vehicle Health Monitoring (IVHM) System

Fuzzy modelling considerations in an aero gas turbine engine start cycle

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