Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm
Autor: | Pritesh Shah, Preeti Warrier |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Optimal design
0209 industrial biotechnology Technology Computer science PID controller 02 engineering and technology fractional calculus Industrial and Manufacturing Engineering 020901 industrial engineering & automation Artificial Intelligence Control theory Power electronics 0202 electrical engineering electronic engineering information engineering fractional order PID controllers power electronics DC-DC converters meta-heuristics cohort intelligence algorithm Industry 4.0 Metaheuristic T57-57.97 Applied mathematics. Quantitative methods Buck converter Applied Mathematics Converters Power (physics) Human-Computer Interaction Control and Systems Engineering 020201 artificial intelligence & image processing Algorithm Information Systems |
Zdroj: | Applied System Innovation, Vol 4, Iss 50, p 50 (2021) Applied System Innovation; Volume 4; Issue 3; Pages: 50 |
ISSN: | 2571-5577 |
Popis: | The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based socio-inspired meta-heuristic algorithm, which has been inspired by the behavior of a group of candidates called a cohort. The FOPID controller parameters are designed for the minimization of various performance indices, with more emphasis on the integral squared error (ISE) performance index. The FOPID controller shows faster transient and dynamic response characteristics in comparison to the conventional PID controller. Comparison of the proposed method with different optimization techniques like the GA, PSO, ABC, and SA shows good results in lesser computational time. Hence the CI method can be effectively used for the optimal tuning of FOPID controllers, as it gives comparable results to other optimization algorithms at a much faster rate. Such controllers can be optimized for multiple objectives and used in the control of various power converters giving rise to more efficient systems catering to the Industry 4.0 standards. |
Databáze: | OpenAIRE |
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