Title: Optimal parameter tuning for PID controller using accelerated grey wolf optimisation in smart sensor environments
Authors: R. Rajakumar; D. Sivanandakumar; J. Uthayakumar; T. Vengattaraman; K. Dinesh
Addresses: Department of Computer Science and Engineering, VFSTR, Vadlamudi, India ' Erode Sengunthar Engineering College, Erode, 638057, India ' Department of Computer Science, Pondicherry University, Pondicherry, India ' Department of Computer Science, Pondicherry University, Pondicherry, India ' Department of Computer Science, Vel Tech Dr. Rr and Dr. Sr University, Chennai, India
Abstract: System lifetime is the crucial problem of wireless sensor networks (WSNs), and exploiting environmental energy provides a potential solution. Boost convertor can be employed in WSN to achieve energy efficiency. In order to achieve better performance, PID controller is combined with boost convertor. However, tuning the PID controller is crucial task whenever the input voltage fluctuates. In this work, a novel algorithm namely accelerated grey wolf optimisation (AGWO) is proposed to improve the convergence speed and to eradicate the local optima stagnation. AGWO algorithm utilises a balanced intensification and diversification techniques to eradicate the local optima struck. The observed results conveys that AGWO achieves minimum percentage overshoot (9%), settling time (0.894), rise time (0.50) and peak time (0.57) which is better compared to other comparative algorithms. Additionally, it has been observed that AGWO is able to achieve comparatively better success performance in a complex environment.
Keywords: wireless sensor network; WSN; smart sensors; PID controller; grey wolf optimisation; GWO; boost convertor problem.
Electronic Government, an International Journal, 2020 Vol.16 No.1/2, pp.170 - 189
Received: 31 Mar 2019
Accepted: 23 May 2019
Published online: 22 Feb 2020 *