Title: Proportional-integral-derivative controller parameter optimisation based on improved glowworm swarm optimisation algorithm

Authors: Xing Guo; Shi-Chao Yin; Yi-Wen Zhang; Wei Li

Addresses: Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China ' Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China ' Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China ' Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China

Abstract: The proportional-integral-derivative (PID) controller parameters tuning, is seeking the optimal value in the space of three parameters to achieve the optimal control performance of the system. It is the core of contemporary feedback control system design. However, its easily falling into local optimum weakened its global search ability. To tackle this problem, this paper proposes an improved glowworm swarm optimisation algorithm, (D-AGSO) with the introduction of directed moving and adaptive step strategy. The simulation experimental results show that D-AGSO continuously adapts the tuning parameters, achieving lower fluctuations features, time settling and smaller steady state error, specially applied to the time delay in the case of inertia controlled system of industrial production.

Keywords: glowworm swarm optimisation; GSO; directed moving; adaptive step strategy; proportional-integral-derivative; PID controller.

DOI: 10.1504/IJCSM.2020.106697

International Journal of Computing Science and Mathematics, 2020 Vol.11 No.3, pp.278 - 290

Received: 24 Sep 2017
Accepted: 02 Nov 2017
Published online: 20 Apr 2020 *

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