Modeling and simulating aircraft stability and control—The SimSAC project

Rizzi, Arthur

doi:10.1016/j.paerosci.2011.08.004

Cited by 65 publications

(25 citation statements)

References 10 publications

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“…[4, 6,12,18] With respect to parametric modeling, Mawhinney et al [6] proposed geometry-based approach using displacement, rotation, and profile components for aircraft conceptual design to efficiently integrate the analysis and design method. But, the skeleton model for structural analysis is undesirable because the level of fidelity is unrealistic.…”

Section: Motivationmentioning

confidence: 99%

“…With the help of high fidelity methods in the early phase, it is essential to ensure the high confidence in decision-making in that a large portion of the LCC (lifecycle cost) of aircraft is determined by decisions taken during the early design phase. [18] So the importance of using high fidelity method early in the development is being recognized with keen interest in the aerospace industry.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Physics-Based Design Framework for Aircraft Design using Parametric Modeling

Hong¹,

Park²,

Kim³

2015

International Journal of Aeronautical and Space Sciences

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Handling constantly evolving configurations of aircraft can be inefficient and frustrating to design engineers, especially true in the early design phase when many design parameters are changeable throughout trade-off studies. In this paper, a physics-based design framework using parametric modeling is introduced, which is designated as DIAMOND/AIRCRAFT and developed for structural design of transport aircraft in the conceptual and preliminary design phase. DIAMOND/AIRCRAFT can relieve the burden of labor-intensive and time-consuming configuration changes with powerful parametric modeling techniques that can manipulate ever-changing geometric parameters for external layout of design alternatives. Furthermore, the design framework is capable of generating FE model in an automated fashion based on the internal structural layout, basically a set of design parameters describing the structural members in terms of their physical properties such as location, spacing and quantities. The design framework performs structural sizing using the FE model including both primary and secondary structural levels. This physics-based approach improves the accuracy of weight estimation significantly as compared with empirical methods. In this study, combining a physics-based model with parameter modeling techniques delivers a high-fidelity design framework, remarkably expediting otherwise slow and tedious design process of the early design phase.

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Section: Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Physics-Based Design Framework for Aircraft Design using Parametric Modeling

Hong¹,

Park²,

Kim³

2015

International Journal of Aeronautical and Space Sciences

View full text Add to dashboard Cite

show abstract

“…Many efforts have been directed to the development of the digital flight methodology comprising the stability and dynamic analysis was started from the conceptual design approach around the world. Such an example, in European region they have the collaboration project called "Simulating Aircraft Stability and Control Characteristics" (SimSAC) under the European Commission 6th Framework Program [2][3][4][5][6][7]. Moreover in the United States, NASA Langley Research Center focuses on the dynamic stability and steady-state computation in the conceptual design stage [8] and was established a simulation code called "Kestrel" of the CREATE-AV [7].…”

Section: Introductionmentioning

confidence: 99%

“…Next after the determination of the aerodynamic force and derivatives coefficients, the estimation of static, dynamic and control stability characteristics needs to be done. In order to ensure that the flight model is stable or unstable and achieve the appropriate level of handling quality the dynamic motion characteristics analysis is calculated and estimated through the value of eigenvalues, damping and frequency for every mode motion [1,[4][5][6][7][8]. In addition, the time response is shown, observation of the response and accuracy of the surrogate model through the error reading comparison between the exact method and predicted method using Kriging method is calculated.…”

Section: Introductionmentioning

confidence: 99%

Surrogate Model of Aerodynamic Model toward Efficient Digital Flight

Othman

Kanazaki

2015

Procedia Engineering

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Digital flight is the study commonly called flight simulation. In flight simulation analysis, the biggest challenges are about preparing the complete databases that can be invoked as result files in future. The ability to simulate in a computer regarding the flight motion must be convinced the governing equations of motion for six-degree of freedom. The accuracy of a flight simulation is depends to a large extent on the quality of an aerodynamic model database prediction. Key objective is to fly and simulate an aircraft in a computer environment with sufficient level of autonomy under the interest variables. In order to realize the goals, a surrogate model is used as the prediction function based on sampling data obtained by the design of experiments. The sample data for models are acquired from the USAF Stability and Control DATCOM which are considered as an exact function, and a database is constructed for two main variables angle of attack and Mach number along the X-force axis, Z-force axis, and pitching moment respectively. Furthermore, a comparison value of exact and predicted function was compared through the error production. The validation for the digital flight was qualified through the mode motion analysis and flying qualities scale to prove the mission level of the flight status.

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“…Besides the pure analysis capability, project management procedures, certification related constraints and requirements and a detailed design and optimization history are prerequisites for Class V tools, as well. Recent developments, which already fulfill the Class V requirements are the stability and control methodology, presented by Chudoba et al [2] and the CEASIOM software system, developed in the EC funded collaborative research project SimSAC (Simulating Aircraft Stability And Control Characteristics for Use in Conceptual Design) [3,4]. Both systems are specialized on the idea of integrating stability and control design early into the conceptual design process and are featuring multi fidelity generic analysis methods for the involved disciplines.…”

mentioning

confidence: 99%

A distributed toolbox for multidisciplinary preliminary aircraft design

Liersch

Hepperle

2011

CEAS Aeronaut J

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In 2005, the German Aerospace Center (DLR) started an internal project, called TIVA, with the main goal to strengthen the multidisciplinary collaboration in the field of conceptual aircraft design. This approach was intended not only to couple disciplinary analysis tools from different institutes, but also to establish a process which keeps the disciplinary experts in the loop as well. Linking the tools and corresponding experts, this process should finally enable each discipline to study the consequences of their new concepts and technologies on overall aircraft level. One major component of this process is a new data exchange file format called CPACS, which serves as central interface and common language between the disciplinary analysis tools. The second key component is the integration framework, which allows the user to couple the single tools to multidisciplinary process chains for analysis and optimization tasks. Since the end of the TIVA project in 2009, the system is continuously being enhanced and extended in TIVA's successor-project VAMP, as well as in several other research projects which are based on this technology. For the near future, it is further planned to open the system with its major components to external partners and to use it for common projects with Industry and Universities.

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Modeling and simulating aircraft stability and control—The SimSAC project

Cited by 65 publications

References 10 publications

Development of a Physics-Based Design Framework for Aircraft Design using Parametric Modeling

Development of a Physics-Based Design Framework for Aircraft Design using Parametric Modeling

Surrogate Model of Aerodynamic Model toward Efficient Digital Flight

A distributed toolbox for multidisciplinary preliminary aircraft design

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