An Investigation of Model-Based Design Framework for Aero-Engine Control Systems

Throughout the design of aero-engine control systems, modeling and simulation technologies have been widely used for supporting the conceptualization and evaluation. Due to the increasing complexity of such systems, the overall quality management and process optimization are becoming more important. This in particular brings the necessity of integrating various domain physical models that are traditionally based on different formalisms and isolated tools. In this paper, we present the initial concepts towards a model-based design framework for automated management of simulation services in the development of aero-engine control systems. We exploit EAST-ADL and some other existing state-of-the-art modeling technologies as the reference frameworks for a formal system description, with the content ranging from requirements, to design solutions and extra-functional constraints, and to verification and validation cases, etc. Given such a formal specification of system V&V (Verification and Validation) cases, dedicated co-simulation services will be developed to provide the support for automated configuration and execution of simulation tools. For quality management, the co-simulation services themselves will be specified and managed by models in SysML.

[1]  Jun Li,et al.  Research of Model-based Aeroengine Control System Design Structure and Workflow☆ , 2015 .

[2]  Yuan Cao,et al.  Grid-based distributed simulation of an aero engine , 2006 .

[3]  Arne Seitz,et al.  Advanced Methods for Propulsion System Integration in Aircraft Conceptual Design , 2012 .

[4]  C. J. Daniele,et al.  DYNGEN: A program for calculating steady-state and transient performance of turbojet and turbofan engines , 1975 .

[5]  Hilding Elmqvist,et al.  Interface Jacobian‐based Co‐Simulation , 2014 .

[6]  Jinzhi Lu,et al.  Research of Tool-Coupling Based Electro-hydraulic System Development Method , 2016 .

[7]  C. Lippke,et al.  GETRAN: A Generic, Modularly Structured Computer Code for Simulation of Dynamic Behavior of Aero- and Power Generation Gas Turbine Engines , 1994 .

[8]  Alberto Leva,et al.  Scalable-detail modular models for simulation studies on energy efficiency , 2011 .

[9]  Philip Jordan,et al.  A Modelica Library for Scalable Modelling of Aircraft Environmental Control Systems , 2014 .

[10]  Henson Graves,et al.  Using formal methods with SysML in aerospace design and engineering , 2011, Annals of Mathematics and Artificial Intelligence.

[11]  Dan Bugajski,et al.  Dynamic inversion: an evolving methodology for flight control design , 1994 .

[12]  Yingqing Guo,et al.  Modeling of Aeroengine Hydro-Mechanical Controller and Analyzing of the Control System Performance , 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).

[13]  Andrea Prencipe,et al.  Technological competencies and product's evolutionary dynamics a case study from the aero-engine industry , 1997 .

[14]  Yin Fei-jia Failure analysis and parameter optimization for fuel distributor for aeroengine , 2011 .