ORCID Profile
0000-0002-8833-2274
Current Organisation
University of New Orleans
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Publisher: Trans Tech Publications, Ltd.
Date: 05-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.939.615
Abstract: In this paper an advanced semi-active d er is designed and experimentally studied to investigate and establish its behavior. A prototype Magneto-rheological fluid D er is designed as advanced semi-active d er due to its huge advantages. Magneto-rheological fluid with improved dispersion stability is prepared here as smart fluid. The relation between force and displacement for various current has been established to develop the semi-active d er model. In this study a fuzzy tuned PID controller is opted to achieve better response for a various frequency input. The proposed MR d er can be applied to vehicle syspension system and other suspension mitigation system widely. Moreover, the identified behaviour can help in further development of MR d er technology. The characteristics obtained from of MR d er is more realistic as it is obtained from experiments.
Publisher: IEEE
Date: 10-2018
Publisher: Springer Science and Business Media LLC
Date: 02-2016
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 11-2019
Publisher: Elsevier BV
Date: 07-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2019
Publisher: Elsevier BV
Date: 2018
Publisher: Walter de Gruyter GmbH
Date: 31-12-2018
Abstract: Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV) and its control is one of the recent research topics related to the field of autonomous MAVs. Some desiring features of the FW MAV are quick flight, vertical take-off and landing, hovering, and fast turn, and enhanced manoeuvrability contrasted with similar-sized fixed and rotary wing MAVs. Inspired by the FW MAV’s advanced features, a four-wing Nature-inspired (NI) FW MAV is modelled and controlled in this work. The Fuzzy C-Means (FCM) clustering algorithm is utilized to construct the data-driven NIFW MAV model. Being model free, it does not depend on the system dynamics and can incorporate various uncertainties like sensor error, wind gust etc. Furthermore, a Takagi-Sugeno (T-S) fuzzy structure based adaptive fuzzy controller is proposed. The proposed adaptive controller can tune its antecedent and consequent parameters using FCM clustering technique. This controller is employed to control the altitude of the NIFW MAV, and compared with a standalone Proportional Integral Derivative (PID) controller, and a Sliding Mode Control (SMC) theory based advanced controller. Parameter adaptation of the proposed controller helps to outperform it static PID counterpart. Performance of our controller is also comparable with its advanced and complex counterpart namely SMC-Fuzzy controller.
Publisher: Elsevier BV
Date: 03-2019
Publisher: Springer Science and Business Media LLC
Date: 09-2014
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: Elsevier BV
Date: 2024
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 02-2020
Publisher: SAGE Publications
Date: 14-02-2018
Abstract: Smart materials are kinds of designed materials whose properties are controllable with the application of external stimuli such as the magnetic field, electric field, stress, and heat. Smart materials whose rheological properties are controlled by externally applied magnetic field are known as magneto-rheological materials. Magneto-rheological materials actively used for engineering applications include fluids, foams, grease, elastomers, and plastomers. In the last two decades, magneto-rheological materials have gained great attention of researchers significantly because of their salient controllable properties and potential applications to various fields such as automotive industry, civil environment, and military sector. This article offers a recent progressive review on the magneto-rheological materials technology, especially focusing on numerous application devices and systems utilizing magneto-rheological materials. Conceivable limitations, challenges, and comparable advantages of applying these magneto-rheological materials in various sectors are analyzed critically, which provides a clear pathway to the researchers in selecting and utilizing these materials. The review starts with an introduction to the elementary description of magneto-rheological materials and their significant contribution in various fields. Following this, different types of the magneto-rheological materials, modeling of the magneto-rheological materials, magneto-rheological material–based devices, and their applications have been extensively reviewed to promote practical use of magneto-rheological materials in a wide spectrum of the application from the automobile to medical device.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2020
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 11-2018
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: Springer Science and Business Media LLC
Date: 11-2016
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 07-2019
Publisher: Springer Science and Business Media LLC
Date: 07-2015
Publisher: ACM
Date: 26-10-2021
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 07-2019
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 06-2019
Publisher: SAGE Publications
Date: 06-2017
Abstract: In this study, an magnetorheological (MR) d er has been designed based on its energy harvesting capability which combines the key benefits of energy generation (reusing lost energy) and magnetorheological d ing (controllable d ing force). The energy harvesting part has a magnet and coil arrangement to generate energy. A two-dimensional axisymmetric model of the proposed magnetorheological d er is developed in COMSOL Multiphysics where different magnetic field properties are analysed generally by finite element method. Finally, the energy harvesting capability of the proposed magnetorheological d er model is tested by a universal testing machine and observed through an oscilloscope. The maximum induced output voltage was around 0.7 V.
Publisher: Springer Science and Business Media LLC
Date: 17-08-2018
Publisher: Zhejiang University Press
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: IEEE
Date: 02-2017
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: IEEE
Date: 10-2017
No related grants have been discovered for Md Meftahul Ferdaus.