Authors: Mostafa S. Mohamed; Haibin Duan
Addresses: School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing, 100083, China ' School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing, 100083, China
Abstract: Pigeon-inspired optimisation (PIO) algorithm is a swarm intelligence algorithm-inspired by homing behaviour of pigeons. Adaptive pigeon-inspired optimisation (APIO) algorithm is introduced to provide better search efficiency and faster convergence speed than pigeon-inspired optimisation (PIO) algorithm. Through APIO the initial values for iteration starting are set near the optimum solution and solution bounds are calculated according to stability bounds, therefore the optimisation algorithm will better deal with the flying vehicles and the optimisation process can reach an optimum solution during the control cycle time of the control system rather than pigeon-inspired optimisation (PIO) algorithm. In this paper, the flight control system for a tactical missile is designed using classical proportional-integral-differential (PID) control and the controller gains will be calculated using both PIO and APIO algorithms. Finally numerical simulation using MATLAB is presented to evaluate the performance of both algorithms.
Keywords: flying vehicle; tactical missile; autopilot design; pigeon-inspired optimisation; PIO; classical controller; proportional-integral-differential; PID; simulation; adaptive pigeon-inspired optimisation; APIO.
International Journal of Bio-Inspired Computation, 2020 Vol.16 No.3, pp.133 - 147
Received: 13 Nov 2019
Accepted: 02 Feb 2020
Published online: 03 Nov 2020 *