Optimal Parameter Tuning of MRPID Controller for Temperature Control
Abhas Kanungo1, Monika Mittal2, Lillie Dewan3
1Abhas Kanungo, Department of Electronics and Instrumentation, KIET group of institutions, Ghaziabad, India.
2Monika Mittal, Department of Electrical Engineering, National Institute of Technology Kurukshetra, Kurukshetra ,India.
3Lillie Dewan, Department of Electrical Engineering, National Institute of Technology Kurukshetra, Kurukshetra, India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 26 August 2019 | PP: 474-477 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10750789S19/19©BEIESP | DOI: 10.35940/ijitee.I1075.0789S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the optimal tuning of gain parameters of Multi-resolution PID controller for thermal system. Control of temperature in thermal system is very important. MRPID controller utilizes the multi-resolution property of wavelet transform to decompose the error signal in to different frequency components. Further different coefficients of wavelet are used to generate the control signal. To generate the desired control, optimal tuning is required. In this paper, optimal tuning of MRPID controller is done by genetic algorithm (GA) & Particle swarm optimization (PSO). At the end, performance comparison between these two techniques is done and concluded. Wavelet-based MRPID controller is executed in MATLAB/Simulink@2015a.
Keywords: Thermal system, MRPID Controller, GA and PSO, MWT.
Scope of the Article: Optimal Design of Structures