Abstract:A full authority digital engine control system (FADEC) has been configured for the marine gas turbine engine being developed at the Gas Turbine Research Establishment, Bangalore, India. This paper presents the development of a prototype FADEC for this aero-derivative marine gas turbine engine. A dual-redundant architecture, with two identical digital electronic control units (DECU) in an active-standby configuration, was chosen to provide the necessary reliability, availability and maintainability. The system … Show more
“…This paper is an attempt to bring out Conceptual Study on Integration of Engine Health Monitoring (EHM) System with Integrated Vehicle Health Monitoring (IVHM) System. The concepts of control system have been attempted during the previous in house design attempts and have been captured and analysed for its usability and improvements (Githanjali, et al May 8-11, 2006). The study made in this paper will bring out SE approach to manifest the various scenarios during operational role of control system for EHMS.…”
Section: Resultsmentioning
confidence: 99%
“…EMS will interface with each lane of FADEC through a digital bus. EMS shall have access to engine health related FADEC data (Githanjali, et al May 8-11, 2006). Suitable codes shall be generated by EMS to indicate the health of the engine.…”
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
“…This paper is an attempt to bring out Conceptual Study on Integration of Engine Health Monitoring (EHM) System with Integrated Vehicle Health Monitoring (IVHM) System. The concepts of control system have been attempted during the previous in house design attempts and have been captured and analysed for its usability and improvements (Githanjali, et al May 8-11, 2006). The study made in this paper will bring out SE approach to manifest the various scenarios during operational role of control system for EHMS.…”
Section: Resultsmentioning
confidence: 99%
“…EMS will interface with each lane of FADEC through a digital bus. EMS shall have access to engine health related FADEC data (Githanjali, et al May 8-11, 2006). Suitable codes shall be generated by EMS to indicate the health of the engine.…”
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
“…The scheme for such system is shown in Fig. 6, examples of its realization are given in the papers [13][14][15][16][17][18][19][20]. When a fault is detected, corrective action will be generated.…”
Section: Adaptation To Technical State Variation Of Measuring Systemmentioning
One of the most perspective development directions of the aircraft engine is the application of adaptive digital automatic control systems (ACS). The significant element of the adaptation is the correction of mathematical models of both engine and its executive, measuring devices. These models help to solve tasks of control and are a combination of static models and dynamic models, as static models describe relations between parameters at steady-state modes, and dynamic ones characterize deviations of the parameters from static values.The work considers problems of the models’ correction using parametric identification methods. It is shown that the main problem of the precise engine simulation is the correction of the static model. A robust procedure that is based on a wide application of a priori information about performances of the engine and its measuring system is proposed for this purpose. One of many variants of this procedure provides an application of the non-linear thermodynamic model of the working process and estimation of individual corrections to the engine components’ characteristics with further substitution of the thermodynamic model by approximating on-board static model. Physically grounded estimates are obtained based on a priori information setting about the estimated parameters and engine performances, using fuzzy sets.Executive devices (actuators) and the most inertial temperature sensors require correction to their dynamic models. Researches showed, in case that the data for identification are collected during regular operation of ACS, the estimates of dynamic model parameters can be strongly correlated that reasons inadmissible errors.The reason is inside the substantial limitations on transients’ intensity that contain regular algorithms of acceleration/deceleration control. Therefore, test actions on the engine are required. Their character and minimum composition are determined using the derived relations between errors in model coefficients, measurement process, and control action parameters.
“…FADEC with situational control methodology approach with gating neural network having situational frames and controller system to handle it was used [3].B Githanjali et al, presented their work for development of FADEC for aero-derivative marine gas turbine engine. By including the complicated controls, method for fault identification, improved actuator, sensor and fuel system design, FADEC offers important and economical benefits to engine control of marine propulsion system and has provided suitable control requirements of engine and fault withstanding features [4].S R Balakrishnan [6] discussed the bottom to top approach considering engine requirement and developing control system to required level. At starting gas turbine engines had electromechanical system then it switched to electronic system and then integration with electronic system followed by audit process and finally verification and validation [5].…”
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