Particle swarm optimization technique for speed control and torque ripple minimization of switched reluctance motor using PID and FOPID controllers

Kumar, M. Naveen; Chidanandappa, R.

doi:10.1007/s41870-023-01656-2

Int. j. inf. tecnol.

2024

DOI: 10.1007/s41870-023-01656-2

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Particle swarm optimization technique for speed control and torque ripple minimization of switched reluctance motor using PID and FOPID controllers

M. Naveen Kumar,

R. Chidanandappa

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Cited by 3 publications

References 35 publications

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An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers

Akbari,

Zamani,

Seifi

et al. 2025

Communications in Nonlinear Science and Numerical Simulation

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An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers

Akbari,

Zamani,

Seifi

et al. 2025

Communications in Nonlinear Science and Numerical Simulation

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Optimizing blood glucose regulation in type 1 diabetes: A fractional order controller approach

Shenbagam,

Kanagaraj,

Giri

et al. 2024

AIP Advances

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This study presents the design and implementation of a Fractional Order Proportional, Integral, and Derivative (FOPID) controller intended for the regulation of blood glucose levels in individuals with type 1 diabetes mellitus (T1DM). The efficacy of this controller is evaluated through its application to a nonlinear Stolwijk–Hardy model simulating T1DM patients, accounting for a range of physiological conditions. Utilizing a genetic algorithm, the parameters of the FOPID controller are fine-tuned. By conducting a comparative analysis with previously established control algorithms, the performance of the proposed controller is validated, demonstrating its superior performance. The results underscore the significant improvements achieved by the proposed controller in maintaining blood glucose concentrations within safe thresholds, particularly in scenarios involving disruptions due to meals.

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Comparative evaluation of speed control techniques for switched reluctance motors in industrial applications

Ismael,

Atyia

2024

Eng. Res. Express

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This paper offers a thorough summary of the comparative assessment of speed control methods for Switched Reluctance Motors (SRMs) in industrial settings. It is primarily concerned with two topics: optimization methods and PID controller applications. Studies on PID controllers have demonstrated improved speed control performance for SRMs; however, these findings frequently lack real-world validation and comparisons with other approaches. The difficulties with implementation are also covered. Fuzzy logic, evolutionary computation, particle swarm optimization, and genetic algorithms are some of the optimization approaches that have been used to enhance SRM speed control. However, there are still several issues with computational complexity, noise and volatility in parameters and real-time implementation. Numerous research assessed the ways in which different strategies and algorithms decreased torque ripples and controlled speed. However, these comparisons frequently fall short in terms of thoroughness and in-depth talks about real-world difficulties. All things considered, the analysis of the literature indicates a wide variety of approaches and methods for SRM speed control, each with advantages and disadvantages. Subsequent investigations may tackle these constraints, carry out more thorough comparative evaluations, and investigate the viability of actual application in industrial settings.

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Particle swarm optimization technique for speed control and torque ripple minimization of switched reluctance motor using PID and FOPID controllers

Cited by 3 publications

References 35 publications

An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers

An optimal nonlinear fractional order controller for passive/active base isolation building equipped with friction-tuned mass dampers

Optimizing blood glucose regulation in type 1 diabetes: A fractional order controller approach

Comparative evaluation of speed control techniques for switched reluctance motors in industrial applications

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