Optimal PID Controller Tuning using Simulated Annealing based Internal Model Control
Udayakumar Durairaj1, V. Murugananthan2, Banupriya Balasubramanian3, R. Lakshmi4
1Udayakumar Durairaj, Lecturer, FOET, Linton University College, Mantin, Negeri Sembilan, Malaysia.
2V. Murugananthan, Lecturer, SEEMIT, Institute Technology Pertama, Mantin, Negeri Sembilan, Malaysia.
3Banupriya Balasubramanian, Lecturer, FOET, Linton University College, Mantin, Negeri Sembilan, Malaysia
4R. Lakshmi, Assistant Professor, Easwari Engineering College Ramapuram, Chennai, India
Manuscript received on November 13, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 4536-4539 | Volume-9 Issue-2, December 2019. | Retrieval Number: B9021129219/2019©BEIESP | DOI: 10.35940/ijitee.B9021.129219
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© 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: In this paper, simulated annealing (SA), a heuristic algorithm is used to tune PID based Internal Model Control (IMC) for large and small systems. PID tuning is effected with SA optimizer. The IMC technique requires tuning of a single parameter, filter constant which in turn is used to find the PID controller parameters: proportional gain, reset time and derivative time. The proposed method uses SA for tuning the filter constant. The proposed method is verified in systems with different / ratio.
Keywords: Simulated Annealing, Filter Constant, Internal Model Control, PID controller
Scope of the Article: Knowledge Modelling, Integration, Transformation, and Management.