Optimal design of FOPID Controller for the control of CSTR by using a novel hybrid metaheuristic algorithm

Khanduja, Neha; Bhushan, Bharat

doi:10.1007/s12046-021-01632-1

Cited by 14 publications

(4 citation statements)

References 33 publications

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“…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%

Optimal tuning fractional order PID based on marine predator algorithm for DC motor

Aribowo

Suprianto

Rahmadian

et al. 2023

IJPEDS

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DC motors are a popular topic because they are widely applied in various electronic equipment. So, this requires a control that is fast and reliable. The development of optimized control methods is growing rapidly with the discovery of several new methods. Marine predator algorithm (MPA) is an optimization method based on marine life between living things. This article discusses the application of the MPA method for optimizing fractional order PID (FOPID) control on DC motors. The implementation of the FOPID controller is also difficult because the fractional calculus operators of the FOPID controller cannot be directly implemented in numerical calculations. The method proposed in this article is the FOPID-MPA method. To get a performance test of the proposed method, this study uses several comparison methods, namely the seagull optimization algorithm (ASO), chimp optimization algorithm (ChOA), and sine tree seed algorithm (STSA). This study also uses a variation of the reference speed to get the performance of the proposed method. From the experiment it is known that the FOPID-MPA method gives the best performance. The FOPID-MPA method has an overshoot value of 4.34% compared to the PID-MPA method in case study 1 and has an integrated of time-weighted-squared-error (ITSE) value of 7.44% better than the PID-MPA method in case study 2.

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Section: Introductionmentioning

confidence: 99%

Optimal tuning fractional order PID based on marine predator algorithm for DC motor

Aribowo

Suprianto

Rahmadian

et al. 2023

IJPEDS

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“…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%

Evaluation of Controller Parameters on the Twin Rotor Multiple Input Multiple Output System Using Butterfly-Based Particle Swarm Optimization

ÇABUKER

Almalı

PARLAR

2023

Journal of Scientific Reports-A

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Studies on the control of nonlinear systems with metaheuristic algorithms are increasing day by day. It is one of the nonlinear systems in the Twin rotor multiple input multiple output (TRMS) system, which emerged as a prototype of helicopters. This system has two control angles horizontally and vertically. In this study, the yaw and pitch angle control parameters of the TRMS system were found using both traditional and butterfly-based particle swarm optimization (BFPSO) method. In experimental studies, reference values of main propeller and tail propeller angles were tried to be reached in TRMS with fractional order proportional-integral-derivative (FOPID), proportional-integral-derivative (PID) and tilt-integral-derivative (TID) controllers.

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“…PI controller with simple and instinctive tuning techniques offers limited bandwidth. The PWM feedback controller is designed to regulate the output voltage of zeta converter with state space averaging technique is presented by Vuthchhay [7]. The output voltage regulation of the zeta converter with PID controller is implemented for PV and power factor correction applications.…”

Section: Introductionmentioning

confidence: 99%

Design of Chaotic Artificial Bee Colony Algorithm Based Fractional Order PID Controller

DurgadeviSRM¹,

Amali²,

Karthik³

2022

Preprint

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Design and implementation of a Chaotic Artificial Bee Colony (ChABC) algorithm based Fractional Order Proportional Integral Derivative (FOPID) controller for Power Factor Correction (PFC) in Switched Mode Power Supply (SMPS) using DC-DC Zeta converter is proposed in this paper. The dc-dc zeta converter has the advantages of high efficiency over a wide range of input and output voltages, an enormous power factor, low line current harmonics, and can convert voltages both up and down. Operating the converter in discontinuous conduction mode (DCM) achieves power factor correction and simplifies the control circuit. This paper describes the design characteristics, operating principles, and controller design of the proposed converter. The design, analysis, modelling and advancement of the ChABC algorithm based FOPID controller in SMPS offers the better power quality and faster convergence of regulated output voltage. Simulation and experimental results are presented to verify power factor, % Total Harmonic Distortion (THD), output voltage regulation, stability, and robustness for various load, line, and reference voltages.

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Optimal design of FOPID Controller for the control of CSTR by using a novel hybrid metaheuristic algorithm

Cited by 14 publications

References 33 publications

Optimal tuning fractional order PID based on marine predator algorithm for DC motor

Optimal tuning fractional order PID based on marine predator algorithm for DC motor

Evaluation of Controller Parameters on the Twin Rotor Multiple Input Multiple Output System Using Butterfly-Based Particle Swarm Optimization

Design of Chaotic Artificial Bee Colony Algorithm Based Fractional Order PID Controller

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