Title: Optimised implementation of AVR system using particle swarm optimisation

Authors: Amin Jarrah; Mohmmad Zaitoun

Addresses: Department of Computer Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, 21163, Jordan ' Department of Computer Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, 21163, Jordan

Abstract: Several techniques have been developed to improve the control quality and deliver optimised products in many industrial process domains. This work aims to propose an optimised automatic voltage regulator (AVR) system implementation by applying a nature-inspired algorithm called particle swarm optimisation (PSO) to design a proportional integral derivative (PID) controller for the AVR system. The proposed system consists of two controllers to deal with both the transient state and the time response. Different parallelisation and optimisation techniques such as loop unrolling, loop pipelining, dataflow, and loop flattening were adopted and applied to investigate the opportunities of creating a much more effective design. The proposed system achieves better results for the settling time and the overshoot which makes the proposed system a suitable choice for zero overshoot industry applications.

Keywords: optimisation techniques; particle swarm optimisation; PSO; proportional integral derivative controller; automatic voltage regulator system; time response; optimal control.

DOI: 10.1504/IJCSE.2022.123114

International Journal of Computational Science and Engineering, 2022 Vol.25 No.3, pp.272 - 284

Received: 22 Jan 2021
Accepted: 05 Jun 2021
Published online: 30 May 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article