Sine cosine optimization algorithm combined with balloon effect for adaptive position control of a cart forced by an armature-controlled DC motor

For a car that is propelled by an armature-controlled DC motor This study proposes an adjustable linear positioning control. In this paper, to optimize the parameters of the car’s position controller the sine cosine optimization algorithm (SCA) is utilized, with support from the Balloon effect (BE),...

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Veröffentlicht in:PloS one Jg. 19; H. 5; S. e0300645
Hauptverfasser: Mohamed, Mohamed Tarek, Alkhalaf, Salem, Senjyu, Tomonobu, Mohamed, Tarek Hassan, Elnoby, Ahmed Mohamed, Hemeida, Ashraf
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 16.05.2024
Public Library of Science (PLoS)
Schlagworte:
Adaptive control
Algorithms
Balloons
Biology and Life Sciences
Computer and Information Sciences
Computer Simulation
Controllers
D C motors
Efficiency
Electric motors
Engineering and Technology
Equipment Design
Humans
Load
Loop transfer functions
Machine learning
Mathematical optimization
Neural networks
Objective function
Optimization
Optimization algorithms
Optimization techniques
Parameter uncertainty
Physical Sciences
Research and Analysis Methods
Trigonometric functions
ISSN:1932-6203, 1932-6203
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Zusammenfassung:For a car that is propelled by an armature-controlled DC motor This study proposes an adjustable linear positioning control. In this paper, to optimize the parameters of the car’s position controller the sine cosine optimization algorithm (SCA) is utilized, with support from the Balloon effect (BE), The BE is incorporated to enhance the responsiveness of the traditional sine cosine optimization algorithm when faced with external disturbances and variations in system parameters. In the proposed approach, the determined value of the open loop transfer function of the motor and the updated values of the controller gains serve as the basis for the modified sine cosine algorithm’s objective function (OF). Under the influence of changes in motor parameters and step load disturbances, the system using the suggested controller is evaluated. Results from simulations and experiments show that the proposed adaptive controller, which implements the modified sine cosine algorithm, enhances the system’s overall performance in the presence of load disturbances and parameter uncertainties.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0300645