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Knowledge-based simulation model generation for control law design applied to a quadrotor UAV

机译:基于知识的仿真模型生成,应用于四旋翼无人机的控制律设计

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Like for all mechatronic systems, the role of control software in unmanned aerial vehicle (UAV) design is becoming more important. As part of an automated control software development framework, this article discusses the development of a simulation model generation method. As a basis, the application of knowledge-based engineering (KBE) is suggested, requiring the definition of an ontology to capture the various domain concepts and relationships. The initial knowledge base represents concepts and relations to create models with Modelica, the object-oriented modelling language used to construct the simulation model. The need for physics-based, high-fidelity simulation models using the latest design parameters is illustrated by investigating the model of a quadrotor UAV. The results show that the obtained model can form the basis for control design and that the approach provides means to integrate the dynamics analysis and control design into a modelling framework using a combination of object-oriented component modelling and KBE principles.
机译:像所有机电系统一样,控制软件在无人机(UAV)设计中的作用正变得越来越重要。作为自动化控制软件开发框架的一部分,本文讨论了仿真模型生成方法的开发。作为基础,建议了基于知识的工程(KBE)的应用,要求定义本体以捕获各种领域的概念和关系。最初的知识库表示使用Modelica创建模型的概念和关系,Modelica是用于构建仿真模型的面向对象的建模语言。通过研究四旋翼无人机的模型,说明了对使用最新设计参数的基于物理的高保真仿真模型的需求。结果表明,所获得的模型可以构成控制设计的基础,并且该方法提供了将面向对象的组件建模和KBE原理相结合的将动力学分析和控制设计集成到建模框架中的方法。

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