Harmony Search-Fractional order based Controller for Proton Exchange Membrane Fuel Cell powered Vehicles

Ramadhas, Vinu; Paul, Varghese; Rajendiran, Kishore

doi:10.24846/v27i4y201811

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Since they were introduced, fractional-order controllers have been used by many researchers and confirmed their enhanced performance compared to the integerorder controllers (Vahid & Mohammad, 2016, Liu et al, 2018. Recently, the Harmony search optimized fractional-order PID control method suggested by (Vinu, Varghese & Kishore, 2018) and confirmed that its performance is superior to that of the conventional controllers in controlling the speed of a DC motor of fuel cell powered vehicles under dynamics load conditions. In principle, the IOPID controller has three tuning parameters, while the FOPI λ D µ controller has five tuning parameters, which provide greater flexibility in the controller design.…”

Section: Introductionmentioning

confidence: 97%

Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Kanagaraj¹

2019

SIC

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This paper presents the design of a fuzzy variable fractional-order PID (FVF[PI]λDµ) controller and its level of performance. The first-order plus delay-time (FOPDT) pressure control fractional-order plant model is identified using an experimental dataset and designed for study the control scheme. The conventional integer-order PID (IOPID) controllers' performance is not satisfactory for the systems with nonlinear characteristics, plant uncertainties, and external load disturbances. Thus, a modified control structure is proposed in which the exponent terms λ and µ of the controller are changed lively using an intelligent fuzzy logic controller (FLC). To investigate the usefulness of the proposed control method, simulation studies are carried out using MATLAB software. Further on, the proposed controller performance for the identified fractional-order plant is compared with that of the IOPID and classical fractional-order PID (FOPIλDµ) controllers. The controllers' performance is demonstrated during the parameter change and under external load disturbance conditions. The results confirm that the FVF[PI]λDµ controller is capable to achieve an improved performance and robustness for the identified FOPDT pressure control systems.

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Section: Introductionmentioning

confidence: 97%

Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Kanagaraj¹

2019

SIC

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Optimal design of fractional-order proportional integral derivative controllers for structural vibration suppression

Khodadoost,

Saraee,

Talatahari

et al. 2024

Sci Rep

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In designing control systems, it is known that fractional-order proportional integral derivative (FOPID) controllers often provide greater flexibility than conventional proportional integral derivative (PID) controllers. This higher level of flexibility has proven to be extremely valuable for various applications such as vibration suppression in structural engineering. In this paper, we study the optimization of FOPID controllers using twelve well-established algorithms to minimize structural responses under seismic excitations. The algorithms include crystal structure algorithm (CryStAl), stochastic paint optimizer, particle swarm optimization, krill herd, harmony search, ant colony optimization, genetic algorithm, grey wolf optimizer, Harris hawks optimization, sparrow search algorithm, hippopotamus optimization algorithm, and duck swarm algorithm. In addition to highlighting the benefits of fractional calculus in structural control, this study provides a detailed analysis of FOPID controllers as well as a brief description of the algorithms used to optimize them. To evaluate the efficiency of the proposed techniques, two building models with different numbers of stories are examined. FOPID controllers are designed based on oustaloup’s approximation and the El Centro earthquake data. Using five well-known metrics, the performances of the developed methods are evaluated against five earthquake scenarios, including the recent earthquake in Turkey. A non-parametric (Friedman) test is also employed to compare the algorithms based on their corresponding vibration reduction. The findings of this analysis show that CryStAl consistently performs better than the other algorithms for both building models, thus resulting in superior vibration suppression.

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Tensor Product-Based Model Transformation Technique Applied to Modeling Magnetic Levitation Systems

Hedrea

Precup

Bojan-Dragoş

et al. 2019

2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES)

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Harmony Search-Fractional order based Controller for Proton Exchange Membrane Fuel Cell powered Vehicles

Cited by 4 publications

References 17 publications

Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Design and Performance Evaluation of Fuzzy Variable Fractional-Order [PI]λDµ Controller for a Class of First-Order Delay-Time Systems

Optimal design of fractional-order proportional integral derivative controllers for structural vibration suppression

Tensor Product-Based Model Transformation Technique Applied to Modeling Magnetic Levitation Systems

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