Efficient DC motor speed control using a novel multi-stage FOPD(1 + PI) controller optimized by the Pelican optimization algorithm

This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motors, leading to suboptimal performance. Our proposed controll...

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Bibliographic Details
Published in:Scientific reports Vol. 14; no. 1; pp. 22442 - 25
Main Authors: Jabari, Mostafa, Ekinci, Serdar, Izci, Davut, Bajaj, Mohit, Zaitsev, Ievgen
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 28.09.2024
Nature Publishing Group
Nature Portfolio
Subjects:
639/166
639/166/987
639/4077
639/705
Algorithms
Business metrics
Comparative analysis
DC motor control
Fractional-order controller
Humanities and Social Sciences
Metaheuristic algorithms
Motor task performance
multidisciplinary
Optimization algorithms
Pelican optimization Algorithm
Performance optimization
PID controller
Science
Science (multidisciplinary)
PID controller
DC motor control
Fractional-order controller
Pelican optimization Algorithm
Performance optimization
Stability improvement
Speed control
Metaheuristic algorithms
ISSN:2045-2322, 2045-2322
Online Access:Get full text
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Summary:This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motors, leading to suboptimal performance. Our proposed controller integrates fractional-order proportional-derivative (FOPD) and proportional-integral (PI) control actions, optimized via POA to achieve superior control performance. The effectiveness of the proposed controller is validated through rigorous simulations and experimental evaluations. Comparative analysis is conducted against conventional PID and fractional-order PID (FOPID) controllers, fine-tuned using metaheuristic algorithms such as atom search optimization (ASO), stochastic fractal search (SFS), grey wolf optimization (GWO), and sine-cosine algorithm (SCA). Quantitative results demonstrate that the FOPD(1 + PI) controller optimized by POA significantly enhances the dynamic response and stability of the DC motor. Key performance metrics show a reduction in rise time by 28%, settling time by 35%, and overshoot by 22%, while the steady-state error is minimized to 0.3%. The comparative analysis highlights the superior performance, faster response time, high accuracy, and robustness of the proposed controller in various operating conditions, consistently outperforming the PID and FOPID controllers optimized by other metaheuristic algorithms. In conclusion, the POA-optimized multi-stage FOPD(1 + PI) controller presents a significant advancement in DC motor speed control, offering a robust and efficient solution with substantial improvements in performance metrics. This innovative approach has the potential to enhance the efficiency and reliability of DC motor applications in industrial and automotive sectors.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-73409-5