Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controller Article Swipe
Nelson Luis Manuel
,
Nihat İnanç
,
Murat Lüy
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.rico.2023.100306
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.rico.2023.100306
Based on the no-free-lunch theorem, researchers have been proposing optimization algorithms for solving complex engineering problems. This paper analyzes the performance of five metaheuristics: Equilibrium Optimizer (EO), Particle Swarm Optimization (PSO), Teaching-Learning-Based Optimization (TLBO), Differential Evolution (DE), and Genetic Algorithm (GA) in fine-tuning the gains of a Proportional-Integral-Derivative (PID) to control the speed of a DC motor. The selected metaheuristics, in addition to being from distinct classes, are well established in their respective groups. The methods and findings of this study can be summarized in three phases. First, the mathematical model of the DC motor is deduced. Second, detailed descriptions of the aforementioned algorithms are presented. Furthermore, the structures of the applied controllers are discussed. Third, comparisons based on statistical indicators and analyses in the time and frequency domains, in addition to robustness and load disturbance tests, are performed. The results revealed that if a sufficient number of runs is given for each metaheuristic, despite being in different runs, all algorithms are able to propose the same optimal gain values. TLBO presented the highest speed, while GA and DE were the slowest in finding optimal values. Additionally, the results were compared with the Opposition-Based Learning Henry Gas Solubility Optimization (OBL/HBO)-based PID, reported to have better results than some previously published works on this topic, and a Fuzzy Logic Controller (FLC). The five optimized controllers obtained approximately the same results and outperformed the OBL/HGO-based PID, but the FLC was superior compared to the metaheuristic-based PIDs.
Related Topics
Concepts
PID controller
Metaheuristic
Particle swarm optimization
DC motor
Fuzzy logic
Robustness (evolution)
Control theory (sociology)
Computer science
Differential evolution
Mathematical optimization
Mathematics
Algorithm
Control engineering
Artificial intelligence
Control (management)
Engineering
Temperature control
Gene
Chemistry
Biochemistry
Electrical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.rico.2023.100306
- OA Status
- gold
- Cited By
- 30
- References
- 84
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387182450
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387182450Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.rico.2023.100306Digital Object Identifier
- Title
-
Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controllerWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-29Full publication date if available
- Authors
-
Nelson Luis Manuel, Nihat İnanç, Murat LüyList of authors in order
- Landing page
-
https://doi.org/10.1016/j.rico.2023.100306Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.rico.2023.100306Direct OA link when available
- Concepts
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PID controller, Metaheuristic, Particle swarm optimization, DC motor, Fuzzy logic, Robustness (evolution), Control theory (sociology), Computer science, Differential evolution, Mathematical optimization, Mathematics, Algorithm, Control engineering, Artificial intelligence, Control (management), Engineering, Temperature control, Gene, Chemistry, Biochemistry, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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30Total citation count in OpenAlex
- Citations by year (recent)
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2025: 12, 2024: 17, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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84Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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