UNDERSTANDING CONCEPTS OF OPTIMIZATION AND OPTIMAL CONTROL WITH WORHP LAB

UNDERSTANDING CONCEPTS OF OPTIMIZATION AND OPTIMAL CONTROL WITH WORHP LAB
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通过 WORHP LAB 了解优化和最优控制的概念

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发表时间:
2016
期刊:
影响因子:
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通讯作者:
C. Büskens
C. Büskens
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作者:
M. Knauer;C. Büskens

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ESA-NLP求解器WORHP已经在航空航天、汽车或物流等广泛应用的多个学术和工业项目中使用。目前,全球有超过500名用户使用Fortran、C/C++和MATLAB的标准接口编写问题公式。为了简化演示和教育目的的优化问题的制定WORHP实验室开发为图形用户界面(GUI)。随着越来越多的应用示例和可视化技术的出现,它展示了底层求解器WORHP的功能,并开放了对更多相关概念的访问,例如使用WORHP Zen进行参数敏感性分析。此外,WORHP实验室提供了使用我们的转录方法TransWORHP解决最优控制问题的可能性。不同的方法,如网格细化的完全离散化或多重拍摄,可以在此工具中轻松进行比较。此外,最优控制问题可以在减少的时间范围内解决,以说明非线性模型预测控制的概念。WORHP实验室已经成功地应用于几个工业车间,并用于小学生和学生的教育目的。在这次演讲中,我们说明了它的特点与优化和最优控制问题的航空航天的例子。
The ESA-NLP solver WORHP is already used in several academic and industrial projects in a wide range of applications, as aerospace, automotive or logistics. Currently over 500 users worldwide code their problem formulations using the the standard interfaces to Fortran, C/C++ and MATLAB. To simplify the formulation of optimisation problems for demonstration and educational purposes WORHP Lab is developed as a graphical user interface (GUI). With a growing set of applied examples and visualisation techniques it shows the capabilities of the underlying solver WORHP and opens access to more involved concepts like parametric sensitivity analysis using WORHP Zen. Furthermore, WORHP Lab provides the possibility to solve optimal control problems using our transcription method TransWORHP. Different approaches like full discretisation with grid refinement or multiple shooting are compared easily within this tool. Additionally, optimal control problems can be solved on reduced time horizons to illustrate concepts of nonlinear model predictive control. WORHP Lab was already employed successfully in several industrial workshops as well as for educational purposes with pupils and students. In this talk we illustrate its features with aerospatial examples of optimisation and optimal control problems.