Nonlinear modeling and designing transition flight control scenarios for a dual thrust hybrid UAV

Navid Mohammadi, Morteza Tayefi, Man Zhu
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Abstract

Researchers have recently focused on studying the flight dynamics and control of multicopters and fixed-wing aerial vehicles. However, investigating the transition phase between multicopter hover and fixed-wing cruise modes for a Dual-thrust Aerial Vehicle (DAV) is still challenging. In this paper, we develop two sets of nonlinear equations of motion for a DAV to create a multi-purpose dynamic model for designing control and transition mode scenarios. The first set considers the multicopter torque as the control input, while the second set considers the elevator torque as the control input. By analyzing three transition scenarios between multicopter hover and fixed-wing cruise flights, we observe that the best performance occurs for the third scenario in which the control system switches from multicopter control torque to elevator control torque when the multicopter thrust equals the wings’ lift. In this case, the vehicle will be protected from critical flight conditions like wing stalls while the transition will go smoothly with minimum height drop. The transition mode strategies are implemented using a model predictive controller in flight simulation. The numerical results show the dynamic behavior of the DAV in different transition scenarios from hover to cruise and vice versa, demonstrating successful altitude control and stable transitions in both phases.

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双推力混合无人机的非线性建模和过渡飞行控制方案设计
最近,研究人员重点研究了多旋翼飞行器和固定翼飞行器的飞行动力学和控制。然而,研究双推力飞行器(DAV)在多旋翼悬停和固定翼巡航模式之间的过渡阶段仍然具有挑战性。在本文中,我们为双推力飞行器建立了两组非线性运动方程,以创建一个多功能动态模型,用于设计控制和过渡模式方案。第一组将多旋翼飞行器扭矩作为控制输入,第二组将升降舵扭矩作为控制输入。通过分析多旋翼飞行器悬停和固定翼巡航飞行之间的三种过渡方案,我们发现第三种方案的性能最佳,即当多旋翼飞行器推力等于机翼升力时,控制系统从多旋翼飞行器控制扭矩切换到升降舵控制扭矩。在这种情况下,飞行器将免受机翼失速等关键飞行条件的影响,同时平稳过渡,高度下降最小。在飞行模拟中使用模型预测控制器实现了过渡模式策略。数值结果显示了无人驾驶飞行器在从悬停到巡航以及从巡航到悬停的不同过渡情况下的动态行为,表明在这两个阶段都能成功地控制飞行高度并实现稳定过渡。
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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
期刊介绍: The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications
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