Drone Swarms Flying In Formation

 

By Alton Parrish.

The autonomous flying of multiple UAVs in formation is an important research area in the aerospace field. Professor DUAN Haibin and his group members (LUO Qinan and YU Yaxiang) from the Science and Technology in Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University set out to tackle this problem.

Different from the traditional formation control method, the novel trophallaxis network control uses the trophallaxis network to carry out real-time data acquisition and processing. Each UAV obtains a control sequence based on the task commands and its own state, and transfers underlying information to the trophallaxis network. The exchange and sharing of information between UAVs are reinforced by the trophallaxis network. This network mechanism can also be applied to the formation flight of unmanned ground vehicles, satellites and unmanned underwater vehicles.

Credit: ©Science China Press

Through 5 years of innovative research, they investigated the trophallactic mechanism behind social insects and developed a novel trophallaxis network control method for formation flight. They transferred the trophallaxis scenario to the context of a multi-UAV flight scenario and successfully tested and evaluated a new control strategy. Their work, entitled “Trophallaxis network control approach to formation flight of multiple unmanned aerial vehicles”, was published in SCIENCE CHINA Technological Sciences, 2013, Vol. 56(5).
This shows five UAVs merging into a V-formation while following a virtual leader.

Credit: ©Science China Press

In recent years, formation control of multiple UAVs has become a challenging interdisciplinary research topic, while autonomous formation flight is an important research area in the aerospace field. The main motivation is the wide range of possible military and civilian applications, where UAV formations could provide a low cost and efficient alternative to existing technology. Researchers and clinicians have developed many methods to address the formation problem. Despite all efforts, currently available formation control methods ignore network effects. The UAV group would perform their flight missions according to an existing database received by the navigation system and various sensors. Therefore, the stability of a UAV group is usually affected by the network characteristics, and there is an urgent need for network control strategies with better efficacy.

Trophallactic is a new swarm search algorithm. This new mechanism is based on the trophallactic behavior of social insects, animals and birds, such as ants, bees, wasps, sheep, dogs, sparrows and swallows. Trophallaxis is the exchange of fluid by direct mouth-to-mouth contact. Animal studies revealed that trophallaxis can reinforce the exchange and sharing of information between individual animals. By imitating that behavior and considering the communication requirements of the network control system, a network control method was proposed. The method was derived from the following example. A honeybee that finds the feeder fills its nectar crop with the offered sugar solution, and if the bee meets another bee on its way, there can be trophallactic contact. The higher the metabolic rate of the bee is, the higher this consumption rate will be. The attractive aspect of the trophallaxis mechanism is the ability to incorporate information transfer as a biological process and use global information to generate an optimal control sequence at each time step.

The virtual leader is employed in the formation flight model, and two trophallaxis strategies—the empty call and donation mechanisms—were considered to implement information transfer. In the process of formation, all UAVs, including the virtual leader, have the ability to conduct trophallaxis. The virtual leader sends updated task information and other UAVs update task information during their sampling period through the trophallaxis network.

    
  

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