Chirarattananon Pakpong, Ma Kevin Y, Wood Robert J
Harvard University School of Engineering and Applied Sciences, Cambridge, MA 02138, USA.
Bioinspir Biomim. 2014 Jun;9(2):025004. doi: 10.1088/1748-3182/9/2/025004. Epub 2014 May 22.
Challenges for the controlled flight of a robotic insect are due to the inherent instability of the system, complex fluid-structure interactions, and the general lack of a complete system model. In this paper, we propose theoretical models of the system based on the limited information available from previous work and a comprehensive flight controller. The modular flight controller is derived from Lyapunov function candidates with proven stability over a large region of attraction. Moreover, it comprises adaptive components that are capable of coping with uncertainties in the system that arise from manufacturing imperfections. We have demonstrated that the proposed methods enable the robot to achieve sustained hovering flights with relatively small errors compared to a non-adaptive approach. Simple lateral maneuvers and vertical takeoff and landing flights are also shown to illustrate the fidelity of the flight controller. The analysis suggests that the adaptive scheme is crucial in order to achieve millimeter-scale precision in flight control as observed in natural insect flight.
控制机器昆虫飞行面临诸多挑战,这是由于系统固有的不稳定性、复杂的流固相互作用以及普遍缺乏完整的系统模型。在本文中,我们基于先前工作中有限的可用信息和一个综合飞行控制器,提出了该系统的理论模型。模块化飞行控制器源自具有在大范围吸引域内已证明稳定性的李雅普诺夫函数候选式。此外,它还包括能够应对因制造缺陷而在系统中出现的不确定性的自适应组件。我们已经证明,与非自适应方法相比,所提出的方法能使机器人以相对较小的误差实现持续悬停飞行。还展示了简单的横向机动以及垂直起降飞行,以说明飞行控制器的逼真度。分析表明,为了像在自然昆虫飞行中观察到的那样在飞行控制中实现毫米级精度,自适应方案至关重要。