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Micro- and Nano-Air Vehicles: State of the Art

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TLDR
A review of the current state of the art and identifying the challenges of design and fabrication of micro-and nano-air vehicles is provided in this article. But the main advantages and drawbacks for each typology are identified and discussed.
Abstract
Micro- and nano air vehicles are defined as “extremely small and ultra-lightweight air vehicle systems” with a maximum wingspan length of 15 cm and a weight less than 20 grams. Here, we provide a review of the current state of the art and identify the challenges of design and fabrication. Different configurations are evaluated, such as fixed wings, rotary wings, and flapping wings. The main advantages and drawbacks for each typology are identified and discussed. Special attention is given to rotary-wing vehicles (helicopter concept); including a review of their main structures, such as the airframe, energy storage, controls, and communications systems. In addition, a review of relevant sensors is also included. Examples of existing and future systems are also included. Micro- and nano-vehicles with rotary wings and rechargeable batteries are dominating. The flight times of current systems are typically around 1 hour or less due to the limited energy storage capabilities of the used rechargeable batteries. Fuel cells and ultra capacitors are promising alternative energy supply technologies for the future. Technology improvements, mainly based on micro- and nanotechnologies, are expected to continue in an evolutionary way to improve the capabilities of future micro- and nano air vehicles, giving improved flight times and payload capabilities.

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On parallel hybrid-electric propulsion system for unmanned aerial vehicles

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Autonomous Flight Control of a Nano Quadrotor Helicopter in a GPS-Denied Environment Using On-Board Vision

TL;DR: A nano quadrotor helicopter which weighs about only 45 grams and has a diameter less than 0.15 m is employed for the autonomous flight control development in GPS-denied environments and trajectory tracking ability is achieved with the help of a modified visual simultaneous localization and mapping (SLAM) algorithm.
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A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints

TL;DR: This work presents a review and discussion of the challenges that must be solved in order to successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations, and extracts constraints and links that relate the local level MAV capabilities to the global operations of the swarm.
References
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Hua Bai, +1 more
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Journal ArticleDOI

Challenges Facing Future Micro-Air-Vehicle Development

TL;DR: In this article, the authors define the terms rotor disk area, sectional drag coefficient, and zero-lift drag coefficient for rotor disk areas, where the sectional coefficient is defined as the ratio of the area of the rotor disk to the length of the chord length.
Proceedings ArticleDOI

Development of the Black Widow Micro Air Vehicle

TL;DR: A Multidisciplinary Design Optimization methodology with a genetic algorithm was used to integrate the MAV subsystems and optimize the vehicle for maximum endurance.
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