Pigeon-Inspired optimization approach to multiple UAVs formation reconfiguration controller design

Abstract

This article introduces a controller for solving the problem of multiple unmanned aerial vehicles (UAVs) formation reconfiguration. Under the constraints of terminal status and of control action energy, the controller aims to find the best values of UAV's inputs (including thrust, load factor, bank angle) to accomplish the task. The basis of our controller is a method which combines PIO with CPTD. Pigeon-Inspired optimization (PIO) is a novel algorithm. It has been proposed and applied in engineering problems by following the inspirational precious works. CPTD is a method called control parameterization and time discretization. Besides, we use a mathematical model to get a function which can evaluate the reconfiguration effects. Finally, to verify the validity of our controller, comparative experiments between PIO and particle swarm optimization (PSO) are conducted. The comparative results demonstrate that our proposed controller embedded with PIO is much better than the one with PSO.