[pSeven] Learn about UAV multidisciplinary optimization with pSeven innovative technologies

pSeven예제
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ablemax
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2018-12-17 15:21
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347

Introduction


In this case study, the Skoltech student team used pSeven to optimize structural parameters and flight dynamics of a tube-launched Unmanned Aerial Vehicle (UAV). In the initial state, when UAV is inside the tube, its wings are folded. During the launch, the pressure inside the tube rises and accelerates the UAV. Once the UAV leaves the tube, the wings open and the UAV starts to gain altitude.


UAV behavior during the flight strongly depends on the design of individual components. This dependency leads to a multidisciplinary optimization study which has to consider digital representation of the product at different levels. In particular, it includes 1D models, which describe the overall system behavior, and 3D СAD/CAE models, which represent geometric design, structural integrity and reliability.






UAV launch tube





Geometric model of the UAV with unfolded wings





Objective


The study objective was to determine the structural parameters of a wing, which minimize the stress and provide the best flight dynamics. We considered the following parameters:


  • Thickness of each wing rib - titi

  • Wing length - ll





Structural parameters of the UAV wing





UAV flight dynamics model in Amesim





Flight dynamics were simulated in Amesim depending on the wing length, total mass, center of mass and other characteristics of the UAV. Pressure loads for different wing lengths were obtained from CFD analysis in ANSYS CFX, which was used for simulation of the whole UAV.












CFD simulation of the UAV showing wing pressure distribution


Pressure loads obtained from CFD analysis were used in structural analysis in Simcenter 3D (NX Nastran) to find the wing stress. Results show that the areas of maximum stress are located close to the root part of the spar.












Von-Mises stress for the UAV wing


Challenges


  • Multidisciplinary task: wing loads, stress analysis, flight dynamics.

  • Time-consuming tasks: CFD and structural simulation.

  • Amesim does not provide optimization algorithms of the required efficiency.

Solution


Since a single structural simulation run lasted for about 7 minutes, we did not directly include it into the final optimization workflow. Instead, we started with a Design of Experiments (DoE) study for structural simulation in pSeven. Using the data obtained from this DoE study, we trained an approximation model of wing stress and UAV mass as outputs depending on the input structural parameters.


pSeven then allowed us to couple this model with Amesim flight dynamics simulation and to create a single workflow which runs an optimization study. The figure below shows the final optimization workflow.



UAV design optimization workflow in pSeven


Optimization objectives were:


  • Minimize wing stress.

  • Maximize the UAV flight altitude.

Wing stress was evaluated by the approximation model, and the flight altitude was obtained directly from the Amesim flight dynamics model.


Results


The main results of optimization are:


  • Stresses inside the wing were reduced by 14% compared to the initial design.

  • Optimal wing geometry was found.

Optimization process data is represented on the figures below.






Optimization data plotted in parallel coordinates





Optimization objectives – UAV flight altitude and wing stress





 


By Mikhail Gusev, Research Scientist, Skoltech


Skoltech


About Skoltech


The Skolkovo Institute of Science and Technology (Skoltech) is a private graduate research institute in Moscow, Russia. Established in 2011 in collaboration with MIT, Skoltech cultivates a new generation of researchers and entrepreneurs, promotes advanced scientific knowledge and fosters innovative technology to address critical issues facing Russia and the world. Skoltech applies the best Russian and international research and educational practices, with particular emphasis on entrepreneurship and innovation. Skoltech’s model leverages on the integration of basic and applied research and education. The Institute’s close link with the industrial and business ecosystem fosters frontier research and generates a flow of innovative solutions for the benefit of the Russian economy.

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