Biologically-Inspired Intelligent Flocking Control for Networked Multi-UAS with Uncertain Network Imperfections

Abstract

In this paper, a biologically-inspired distributed intelligent control methodology is proposed to overcome the challenges, i.e., networked imperfections and uncertainty from the environment and system, in networked multi-Unmanned Aircraft Systems (UAS) flocking. The proposed method is adopted based on the emotional learning phenomenon in the mammalian limbic system, considering the limited computational ability in the practical onboard controller. The learning capability and low computational complexity of the proposed technique make it a propitious tool for implementing in real-time networked multi-UAS flocking considering the network imperfection and uncertainty from environment and system. Computer-aid numerical results of the implementation of the proposed methodology demonstrate the effectiveness of this algorithm for distributed intelligent flocking control of networked multi-UAS.

Minimum Energy Control of Quadrotor UAV: Synthesis and Performance Analysis of Control System with Neurobiologically Inspired Intelligent Controller (BELBIC)

“…Valencia and Kim, in [42], used BELBIC to build a control system capable of autonomously operating multiple quadrotors in the leader-follower configuration. Interesting research may be found in the works of Jafari et al, especially [43,44], where real-time flocking control of multi-agent systems in the presence of system uncertainties and dynamic environments and distributed intelligent flocking control of networked multi-UAS were considered, respectively.…”

Decentralized Triangular Guidance Algorithms for Formations of UAVs

“…A real improvement can be achieved if all the aircraft can properly collaborate to accomplish the mission target by coordinating their tasks. Within this frame, an extensive research field focuses on the swarming behavior, or flocking, known in nature as the collective behavior of a large number of agents able to interact and share a common objective [12][13][14][15][16][17][18][19][20]. In particular, flocking is the ability of a group of autonomous agents (being aircraft or robots) to move like a swarm of birds or insects.…”