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92 articles for “Dynamics Simulation”
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Research ArticleOpen accessIn the abstractFully Integrated Hydrocarbon Reservoir Studies: Myth or Reality?Christoforos Benetatos, Dario VibertiProblem statement: In the petroleum industry and especially during reservoir studies, data coming from different disciplines must be combined in order to generate a model that is representative of the reservoir being studied and can be used for defining the most viable development strategy of the field from both an economic and technical standpoint. Each of these disciplines represents an … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 9,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransient in-Cylinder Gas Flow Characteristics of Single Cylinder Port Injection Hydrogen Fueled EngineM. M. Rahman, Khalaf I. Hamada, M. M. Noor et al.Problem statement: The variation of the in-cylinder gas flow characteristics for single cylinder port injection hydrogen fueled internal combustion engine was investigated through transient state simulation. Approach: One dimensional gas dynamics was described the flow and heat transfer in the components of the engine model. Special attention is paid to selection and correction of heat transfer correlation which describe of … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 8,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Thyristor Control Series Capacitor Neuro-Controller for Damping OscillationsM. Magaji, M. W. MustafaThis study applies a neural-network-based optimal TCSC controller for damping oscillations. Optimal neural network controller is related to model-reference adaptive control, the network controller is developed based on the recursive "pseudo-linear regression". Problem statement: The optimal NN controller is designed to damp out the low frequency local and inter-area oscillations of the large power system. Approach: Two multilayer-perceptron neural networks … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Networks Based Modeling and Control of Continuous Stirred Tank ReactorR. Suja Mani Malar, T. ThyagarajanContinuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical plant. Problem statement: Developing a model incorporating the nonlinear dynamics of the system warrants lot of computation. An efficient control of the product concentration can be achieved only through accurate model. Approach: In this study, attempts were made to alleviate the above mentioned problem using &#34Artificial Intelligence&#34 … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Control of Robotic Manipulators with Improvement of the Transient Behavior Through an Intelligent Supervision of the Free-Design Parameters and the Sampling PeriodM. De La Sen, A. Almansa, J.C. SotoAn adaptive control scheme for mechanical manipulators proposed. The control loop consists of a network for learning the robot's inverse dynamics and on-line generating the control signal. Some simulation results were provided to evaluate the design. A supervisor was used to improve the performances of the system during the adaptation transients. The supervisor exerts two supervisory actions. The first one … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 6,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of an Adaptive Control for a RobotIraj Hassanzadeh, Abbas Harifi, Farid ArvaniThis research investigates the performance of an adaptive controller for five-bar linkage robot. The proposed controller was entirely independent on the physical specifications of the robot. The controller was examined as the dynamics of the mechanical system varies for various environment conditions, which make it an ambiguous system. In this study, the introduced controller was designed based on the governing … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 6,647 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive and Neural Network Based Control of Pitch of Unmanned Aerial VehiclesMackenzie T. Matthews, Sun YiThe objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system’s output. The UAV is controlled via Wi-Fi … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 18 Nov 2019 · 6,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Gaussian Plume Model against CFD Simulations through the Estimation of CO and NO Concentrations in an Urban AreaMahmoud BadyDispersion of air pollutants, Carbon monoxide (CO) and Nitrogen oxide (NO), due to three point sources and a high-density traffic road in an urban area located near the center of Tokyo, Japan was studied using two different approaches. The first is an analytical approach using Gaussian Plume Model (GPM) while the second is a numerical approach using Computational Fluid Dynamics … …American Journal of Environmental Sciences, Vol. 13, Issue 2 · 12 Apr 2017 · 7,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantization of Map-Based Neuronal Model for Embedded Simulations of Neurobiological Networks in Real-TimeNikolai F. Rulkov, Ariel Mark Hunt, Peter N. Rulkov, Andrey G. MaksimovThe discreet-time (map-based) approach to modeling nonlinear dynamics of spiking and spiking-bursting activity of neurons has demonstrated its very high efficiency in simulations of neuro-biologically realistic behavior both in large-scale network models for brain activity studies and in real-time operation of Central Pattern Generator network models for biomimetic robotics. This paper studies the next step in improving the model computational … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 9 Nov 2016 · 8,778 accessesView PDFCite