This paper presents a comparative study of optimization methods for fractional-order Proportional-Integral-Derivative (FOPID) controller. Those methods are Nelder-Mead, Particle Swarm Optimization (PSO), and genetic algorithm. The FOPID controller needs to regulate the step response of the DC motor at the desired state. Numerical simulation and analysis are presented to verify the best method. The PSO gives the best result in term of settling time, robustness, and less overshoot.
https://ieeexplore.ieee.org/document/8528704
- Published in: 2018 4th International Conference on Science and Technology (ICST)
- Date of Conference: 7-8 Aug. 2018
- Date Added to IEEE Xplore: 12 November 2018
- DOI: 10.1109/ICSTC.2018.8528704
- Publisher: IEEE
- Conference Location: Yogyakarta, Indonesia, Indonesia
- Electronic ISBN: 978-1-5386-5813-0
- USB ISBN: 978-1-5386-5812-3
- Print on Demand(PoD) ISBN: 978-1-5386-5814-7
Keywords:
IEEE Keywords:
DC motors, Genetic algorithms, Optimization, Transfer functions, Mathematical model, Graphical user interfaces.
INSPEC: Controlled Indexing
control system synthesis, DC motors, genetic algorithms, machine control, optimal control, particle swarm optimisation, step response, three-term control.
INSPEC: Non-Controlled Indexing
optimal fractional-order PID, DC motor, optimization methods, PSO, genetic algorithm, FOPID controller, fractional-order proportional-integral-derivative controller, Nelder-Mead algorithm, particle swarm optimization.
Author Keywords:
fractional-order calculus, fractional-order PID, Nelder-Mead, Particle Swarm Optimization, Genetic Algorithm, DC motor.
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