Optimised implementation of AVR system using particle swarm optimisation
by Amin Jarrah; Mohmmad Zaitoun
International Journal of Computational Science and Engineering (IJCSE), Vol. 25, No. 3, 2022

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.

Online publication date: Mon, 30-May-2022

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