Firefly algorithm tuned fuzzy set-point weighted PID controller for antilock braking systems

Boopathi, A. Manivanna; Abudhahir, A.

doi:10.7603/s40632-015-0015-6

Cited by 7 publications

(2 citation statements)

References 19 publications

(27 reference statements)

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“…(a) Each firefly tends to attract each other with the help of brightness (b) Fireflies that have greater brightness are attributed to greater attractiveness (c) Lower-bright fireflies are moved to higher-bright fireflies Every firefly has the optimal solution and will have its own brightness in relation to optimal solution fitness function [13]. Assume that each i (P i ) is a firefly i located at the current iteration.…”

Section: Firefly Algorithmmentioning

confidence: 99%

Comprehensive Performance Analysis of Classifiers in Diagnosis of Epilepsy

Deepa¹,

Anand²,

Pandey

et al. 2022

Mathematical Problems in Engineering

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Epilepsy becomes one of the most frequently arising brain disorder, and it is marked by the unexpected occurrence of frequent seizures. In this study, the University of the Boon Database with ictal seizure disorder diagnosis of the epilepsy is classified by making use of the expectation maximization features as dimensionality reduction technique followed by the nonlinear model, namely, Gaussian mixture model, logistic regression, firefly algorithm, and hybrid model such as cuckoo search with Gaussian mixture model and firefly algorithm with the Gaussian mixture model which are the classifiers used for the diagnosis of epilepsy from the electroencephalogram signals. The performance of the classifiers is analyzed based on performance index, sensitivity, specificity, accuracy, mean square error, good detection rate, and error rate. The most promising outcome in this work indicates expectation maximization features are applied as the dimensionality reduction technique and the hybrid model Cuckoo search with the Gaussian mixture model outperforms with classification accuracy of 92.19%, performance index of 81.43%, good detection rate of 83.48%, and with low error rate of 15.62%, among other classifiers.

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Section: Firefly Algorithmmentioning

confidence: 99%

Comprehensive Performance Analysis of Classifiers in Diagnosis of Epilepsy

Deepa¹,

Anand²,

Pandey

et al. 2022

Mathematical Problems in Engineering

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“…Manivanna Boopathi and Abudhahir (2015) has conducted a comprehensive research study to control the wheel slip using GA based fuzzy inference system. The simulation-based approach shows good results in desired level during braking and acceleration.…”

Section: Introductionmentioning

confidence: 99%

EXPERIMENTAL INVESTIGATION & ANALYSIS OF HEA TRANSFER CHARACTERISTICS IN AUTOMOTIVE MMC DISC BRAKE UNDER STEADY STATE AND DYNAMIC CONDITIONS

Agarwal¹,

O.B²,

M.T³

2021

JER is an international, peer-reviewed journal that publishes f

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During braking process, the kinetic energy of vehicle reduces and gets converted in thermal energy due to friction between disk and brake pads. The disk brake is used to retard the motion of vehicle by pressing brake pads against disk rotors. The frequent braking or panic braking results in overheating of brake disks which may result in brake fade. It is therefore essential to test newer materials which are more effective and possess better heat transfer characteristics than conventional cast iron material. The current research investigates the application of Al MMC material for ATV disk brake using experimental and numerical techniques. The numerical analysis is conducted on both conventional cast iron and Al MMC disk brake under steady state conditions and dynamic conditions. The dynamic condition testing involved testing of disk brake with externally flowing air at 2.5m/s and 5m/s using techniques of Computational Fluid Dynamics (CFD). The CAD model of ATV disk brake is developed in Creo design software and CFD analysis is conducted using ANSYS CFX. The turbulence model used for analysis is RNG k-epsilon. The temperature and heat flux are determined for disk brake under steady state and dynamic conditions. The results have shown that disk brake made from Al MMC possess better heat transfer characteristics as compared to conventional cast iron and cooling time also reduces with increase in external air speed.

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