LAPSE:2023.18627
Published Article
LAPSE:2023.18627
Genetic Algorithm Based PI Control with 12-Band Hysteresis Current Control of an Asymmetrical 13-Level Inverter
Mohammad Ali, Mohd Tariq, Deepak Upadhyay, Shahbaz Ahmad Khan, Kuntal Satpathi, Basem Alamri, Ahmad Aziz Alahmadi
March 8, 2023
In this paper, a twelve-band hysteresis control is applied to a recent thirteen-level asymmetrical inverter topology by employing a robust proportional-integral (PI) controller whose parameters are decided online by genetic algorithm (GA). The asymmetrical inverter topology can generate thirteen levels of output voltage incorporating only ten switches and exhibits boosting capability. A 12-band hysteresis current control strategy is applied to ensure the satisfactory operation of the inverter. It is designed to provide a sinusoidal line current at the unity power factor. The tuning of the PI controller is achieved by a nature inspired GA. Comparative analysis of the results obtained after application of the GA and the conventional Ziegler−Nichols method is also performed. The efficacy of the proposed control on WE topology is substantiated in the MATLAB Simulink environment and was further validated through experimental/real-time implementation using DSC TMS320F28379D and Typhoon HIL real-time emulator (Typhoon-HIL-402).
Keywords
Genetic Algorithm, multiband hysteresis control, multilevel inverter, Ziegler–Nichols method
Suggested Citation
Ali M, Tariq M, Upadhyay D, Khan SA, Satpathi K, Alamri B, Alahmadi AA. Genetic Algorithm Based PI Control with 12-Band Hysteresis Current Control of an Asymmetrical 13-Level Inverter. (2023). LAPSE:2023.18627
Author Affiliations
Ali M: Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India [ORCID]
Tariq M: Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India [ORCID]
Upadhyay D: Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India [ORCID]
Khan SA: Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India
Satpathi K: Energy Exemplar (Singapore) Pte Ltd., 9 Battery Road, Singapore 049910, Singapore [ORCID]
Alamri B: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia [ORCID]
Alahmadi AA: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Journal Name
Energies
Volume
14
Issue
20
First Page
6663
Year
2021
Publication Date
2021-10-14
Published Version
ISSN
1996-1073
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PII: en14206663, Publication Type: Journal Article
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LAPSE:2023.18627
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doi:10.3390/en14206663
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