Modeling and control of convertible Micro Air Vehicles

Author(s):  
P. Morin
Author(s):  
Erfan Salami ◽  
Thomas A Ward ◽  
Elham Montazer ◽  
Nik Nazri Nik Ghazali

In the recent decades, the design and development of biomimetic micro air vehicles have gained increased interest by the global scientific and engineering communities. This has given greater motivation to study and understand the aerodynamics involved with winged insects. Dragonflies demonstrate unique and superior flight performance than most of the other insect species and birds. They are capable of sustained gliding flight as well as hovering and able to change direction very rapidly. Pairs of independently controlled forewings and hindwings give them an agile flying ability. This article presents a review of all published journal articles, listed in the Thomson-Reuters Web-of-Science database (1985–2018), that are related to the flight aerodynamics of dragonflies or micro air vehicles that biomimic them. The effects of dragonfly wing motions and interactions (between forewing and hindwing) that are necessary to generate the appropriate aerodynamic forces in different flight modes are described. The associated power requirements of these modes are also addressed. This article aims to provide a valuable reference to the aerodynamic design and control of dragonfly-inspired biomimetic micro air vehicles.


2011 ◽  
Vol 9 (1/2) ◽  
pp. 78 ◽  
Author(s):  
Mark B. Colton ◽  
Liang Sun ◽  
Daniel C. Carlson ◽  
Randal W. Beard

2003 ◽  
Vol 17 (7) ◽  
pp. 617-640 ◽  
Author(s):  
Scott M. Ettinger ◽  
Michael C. Nechyba ◽  
Peter G. Ifju ◽  
Martin Waszak

Author(s):  
T T H Ng ◽  
G S B Leng

In this paper, a new design methodology is introduced to automate the configuration layout design and geometric sizing of rotary-wing micro air vehicles (MAV). The objective of this design-optimization problem is to organize a given set of components and payloads such that the resulting flight vehicle has the most compact overall size and still fulfils the given physical and control constraints. Genetic algorithm (GA) is chosen as the optimization engine because of its proven robust performance. A detailed discussion is presented to explain how the rotary-wing MAV design problem can be formulated as a GA optimization problem. From the case study performed, it is demonstrated that the proposed methodology is able to achieve the design goal.


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