2021
DOI: 10.1007/s12046-021-01632-1
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Optimal design of FOPID Controller for the control of CSTR by using a novel hybrid metaheuristic algorithm

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Cited by 16 publications
(5 citation statements)
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“…The simulation is taken of the social behavior including the cooperation and communication in bird and fish schooling. PSO algorithm is applied in real world complex, non-linear and non-differentiable problems as mention in [42]. PSO is an optimization technique which is based on population and quality results are produced in specified time with stable convergence.…”
Section: Selectable Optimized Controllersmentioning
confidence: 99%
“…The simulation is taken of the social behavior including the cooperation and communication in bird and fish schooling. PSO algorithm is applied in real world complex, non-linear and non-differentiable problems as mention in [42]. PSO is an optimization technique which is based on population and quality results are produced in specified time with stable convergence.…”
Section: Selectable Optimized Controllersmentioning
confidence: 99%
“…FOPID provides more flexibility in controller design compared to PID controllers [9][11]. FOPID has a structure of five parameters [12]. Indirectly, this implies that FOPID has a much more complex Int J Pow Elec & Dri Syst ISSN: 2088-8694  controller setup.…”
Section: Introductionmentioning
confidence: 99%
“…With the developed hybrid metaheuristic optimization types, coefficients can be found for control methods such as PID and FOPID .The coefficients obtained can provide a very effective success in the control of non-linear systems such as the twin rotor mimo system. Since non-linear systems are very sensitive, the control coefficient search range should also be found with precision [7,8].…”
Section: Introductionmentioning
confidence: 99%