PID Controller Optimization using Genetic Algorithm Based Zeta Converter Application
Abadal Salam T. Hussain1, Muhammed K. Jarjes2, Syed F. Ahmed3
1Abadal Salam T. Hussain, Department of Medical Instrumentations Technique Engineering, Alkitab University, Kirkuk, Iraq.
2Muhammed K. Jarjes, Northern Technical University , Technical College Mosul, Iraq.
3Syed F. Ahmed, Faculty Staff, Department of Engineering, American University Kurdistan, Duhok, Iraq.
Manuscript received on January 17, 2020. | Revised Manuscript received on January 24, 2020. | Manuscript published on February 10, 2020. | PP: 558-562 | Volume-9 Issue-4, February 2020. | Retrieval Number: C8895019320/2020©BEIESP | DOI: 10.35940/ijitee.C8895.029420
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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: The purposes of DC-DC conversion devices which are also known as switching regulators include reducing or increasing the resulting DC voltage in accordance with the load’s requirement. The optimal parameters for adjusting the PID controller were obtained using genetic algorithm. The circuit’s output voltage response and its ripples were compared with the GA optimized PID controller. The obtained results highlighted that the output voltage acquired from the scheme with GA optimized PID controller was regulated against the peak overshoot during transient condition even in varying load conditions and output voltage ripples as well. Along with that, the developed system also provided a constant output voltage in different load conditions.
Keywords: Zeta Converter, Genetic Algorithm (GA), PID.
Scope of the Article: Data analytics modelling and algorithms