Practical Application of Fractional-Order PID Controller based on Evolutionary Optimization Approach for a Magnetic Levitation System

Dey, Soham; Banerjee, Subrata; Dey, Joykrishna

doi:10.1080/03772063.2022.2052983

Cited by 12 publications

(1 citation statement)

References 33 publications

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“…[9] Fractional calculus, an extension of classical calculus to non-integer orders, has applications in numerous disciplines, such as electromechanical systems, biological systems, and industrial processes. [10][11][12][13] The novel properties of fractional order controllers, such as memory and non-locality, have enabled the development of more robust and efficient control strategies, making them a prospective research area. [14] In recent years, fractional-order control methods have gained significant attention for their versatility and applicability across various engineering domains.…”

Section: Introductionmentioning

confidence: 99%

Modified fractional order PID structure for non‐integer model bioreactor control

Maurya,

Paul,

Prasad

et al. 2024

Can J Chem Eng

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Temperature control for fermentation is crucial as it directly affects microorganism growth, productivity, and metabolic activity. This work proposes a modified fractional order proportional‐integral‐derivative (FOPID‐DF) controller that incorporates the system model in the control loop configuration utilizing a differential filter for precise temperature control within a narrow operating range. PID, fractional order PID (FOPID), modified fractional order PID (MFOPID), and fractional order internal model control (IMC) controllers were also designed for comparative analysis. The simulation results demonstrated that the proposed FOPID‐DF controller outperforms the other designed controllers, shown by a 22.33% reduction in integral absolute error (IAE) and a 29.06% decrease in integral square error (ISE) compared to the FOPID controller and various other improved performance indicators. Parameter variation and noise analysis highlighted the ability of the controller to maintain stability and performance under changing conditions. The simulation outcomes suggested that the FOPID‐DF controller excels in temperature control, ensuring optimal microorganism growth and metabolic activity.

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