Design and Performance Analysis of a Nonlinear Magnetic Levitation System Using PID Controller Optimized With COOT Algorithm

Recent growth in magnetic levitation can be attributed to its ability to minimize friction and disturbance in industries, transportation, aerospace, biomedicine, and magnetic bearings. Due to the magnetic levitation system's nonlinear and unstable nature, control engineers found it exceedingly...

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Bibliographic Details
Published in:IEEE access 2023, Vol.11, p.104606-104621
Main Authors: Maheedhar, Marabathina, Deepa, T.
Format: Article
Language:English
Subjects:
Aerospace industry
Behavioral sciences
Control systems design
Controllers
COOT algorithm
frequency domain
Frequency-domain analysis
Genetic algorithms
Hardware
Heuristic methods
Maglev
Magnetic bearings
Magnetic domains
Magnetic levitation
Optimization
PD control
PID controller
Proportional integral derivative
time domain
Whale optimization algorithms
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Summary:Recent growth in magnetic levitation can be attributed to its ability to minimize friction and disturbance in industries, transportation, aerospace, biomedicine, and magnetic bearings. Due to the magnetic levitation system's nonlinear and unstable nature, control engineers found it exceedingly challenging to design a stabilizing controller. The magnetic levitation system is abbreviated as a maglev system. Using the integral square error criterion, a newly developed metaheuristic algorithm named the COOT algorithm is used to optimize the PID controller parameters. The performance of the proposed algorithm is evaluated using simulation and hardware with several kinds of reference trajectories and compared to the performance of other algorithms, such as the genetic algorithm and the whale optimization algorithm. Based on simulation and hardware results, it was determined that the proposed algorithm performed well with less settling time, rise time, and integral square error.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3318482