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Relevant bibliographies by topics / BONDGRAPH MODELLING

Academic literature on the topic 'BONDGRAPH MODELLING'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "BONDGRAPH MODELLING"

1

El MARAGHY, W. H., H. A. El MARAGHY, and A. IBRAHIM. "BONDGRAPH MODELLING OF ROBOT DYNAMICS." Transactions of the Canadian Society for Mechanical Engineering 13, no. 4 (December 1989): 123–32. http://dx.doi.org/10.1139/tcsme-1989-0019.

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Euler-Lagrange and Newton-Euler dynamic modelling become very involved and the equations quite complex even for a robot of few axes. For robot models, the bondgraph approach provides several advantages such as explicit bondgraph representation of the robot physical parameters and does not involve any complex equation writing or matrix inversion. In this paper, the use of the bondgraph method for modelling and simulating robot dynamics is presented. To illustrate the technique, a dynamic model for a SCARA robot is derived using bondgraph modelling. The causality conflict arising from the dependent inertias is solved by introducing structural and joint damping. Simulation results obtained using the developed model were in very close agreement with the analytical values obtained using the manipulator kinematic relations. Response due to impact excitation was obtained and is presented.

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2

Mandal, S. K., K. Dasgupta, S. Pan, and A. Chattopadhyay. "Theoretical and experimental studies on the steady-state performance of low-speed high-torque hydrostatic drives. Part 1: Modelling." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 11 (July 6, 2009): 2663–74. http://dx.doi.org/10.1243/09544062jmes1202.

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In this article the steady-state models of an open-circuit and a closed-circuit hydrostatic transmission (HST) drive have been developed to study their performances. A low-speed high-torque multi-stroke cam plate type radial piston motor is considered for both HST drives. Bondgraph simulation technique has been used to model the drives. The multi-bondgraph representation of the HST drives is presented; it takes into account the compression and expansion phases, which occur sequentially in the hydraulic motor. A reduced bondgraph model of the drives has been proposed, where various losses are lumped into suitable resistive elements. The relationships of the loss coefficients with other state variables, obtained from the reduced model, are identified through experimental investigation. The loss coefficients are found to have a non-linear relationship with the load torque and the supply flowrate. Using the characteristics of these loss coefficients, the steady-state performances of the hydrostatic drives are studied in Part 2 of this article (pg. 2675 of this issue).

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3

Van De Veen, P. G., W. Van Der Tempel, and J. De Vreiss. "Bondgraph modelling and simulation of the dynamic behaviour of above-knee prostheses." Prosthetics and Orthotics International 11, no. 2 (August 1987): 65–70. http://dx.doi.org/10.3109/03093648709078180.

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A mathematical model was used to investigate the dynamic behaviour of an above-knee (AK) prosthesis in the swing phase and to analyse the influence of mass and mass distribution on the maximal stump load and the required energy. The model consists of a bondgraph model of the prosthesis and a “walking” model which predicts the walking velocity, step length and the femoral trajectory. Equipment was developed to measure the inertial properties of the components of the prosthesis. Through computer simulation, stickdiagrams of the swing phase and graphs of the variation with time of the hip and stump forces were obtained. It was found that for a normal AK prosthesis with a knee-lock mechanism the axial stump load is greatest at the beginning and at the end of the swing phase. At a walking velocity of 5 km/hr the maximum axial stump load amounts to 2.1 times the static weight of the prosthesis. The maximum axial stump force appeared to be almost directly proportional to the total mass of the prosthesis but independent of the mass distribution. The required energy also increased with the mass of the prosthesis but is' dependent on mass distribution. Because of their comparable weights the influence of the shoe is almost equal to the influence of the prosthetic foot. Thus lightweight shoes should be used with lightweight prosthetic feet in order to add to their advantages.

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4

Dasgupta, K., and H. Murrenhoff. "Modelling and dynamics of a servo-valve controlled hydraulic motor by bondgraph." Mechanism and Machine Theory 46, no. 7 (July 2011): 1016–35. http://dx.doi.org/10.1016/j.mechmachtheory.2010.11.006.

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5

Dasgupta, K., and J. Watton. "Dynamic analysis of proportional solenoid controlled piloted relief valve by bondgraph." Simulation Modelling Practice and Theory 13, no. 1 (January 2005): 21–38. http://dx.doi.org/10.1016/j.simpat.2004.08.002.

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6

Afshari, Hamed Hossein, Amir Zanj, and Alireza Basohbat Novinzadeh. "Dynamic analysis of a nonlinear pressure regulator using bondgraph simulation technique." Simulation Modelling Practice and Theory 18, no. 2 (February 2010): 240–52. http://dx.doi.org/10.1016/j.simpat.2009.11.001.

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7

Dasgupta, K., and J. Watton. "Modelling and Dynamics of a Two Stage Pressure Rate Controllable Relief Valve: a Bondgraph Approach." International Journal of Modelling and Simulation 28, no. 1 (January 2008): 11–19. http://dx.doi.org/10.1080/02286203.2008.11442444.

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8

Heidari, Mohammad, and Hadi Homaei. "Quadratic Optimal Regulator Design of a Pneumatic Control Valve." Modelling and Simulation in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/862190.

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Pneumatic control valves are still the most used devices in the process industries, due to their low cost and simplicity. This paper presents a regulator for pneumatic control valves using pole-placement method, optimal control, full-order state observer, and minimum-order state observer and their responses will be compared with each other. Bondgraph method has been used to model the control valve. Simulation results have been made for four models of regulator. The results show that minimum overshoot and settling time are achieved using optimal regulator of pneumatic valve.

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9

Kumar, N., and K. Dasgupta. "Steady-state performance investigation of hydrostatic summation drive using bent-axis hydraulic motor." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 17 (November 17, 2014): 3234–51. http://dx.doi.org/10.1177/0954406214559410.

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This article investigates the steady-state performance of a closed-circuit hydrostatic summation drive used in heavy earth moving machine through modelling and experiment. The proposed drive basically consists of variable displacement pump and bent-axis motor. The performance studies of the drive have been made for its two different modes of operation: using single motor and two motors. Bondgraph simulation technique is used to model the drive, where various losses are lumped into suitable resistive elements. The relationships of the losses with the state variables obtained from the model are identified through experiments. The dependencies of the loss characteristics on the load torque and the pump displacement ratio are studied. The model has been verified experimentally. The performances of the hydrostatic drives are studied at different torque levels with respect to its slip, torque-loss and overall efficiency, using the expressions describing the characteristics of the loss-coefficients. The investigation also identifies the operating range of the proposed hydrostatic drives with reasonable efficiency.

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10

Birkett, S. H. "Regularity of bondgraphs and directed bondgraphs." Simulation Modelling Practice and Theory 17, no. 1 (January 2009): 69–91. http://dx.doi.org/10.1016/j.simpat.2008.04.004.

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Dissertations / Theses on the topic "BONDGRAPH MODELLING"

1

Geitner, Gert-Helge. "Modellbildung dynamischer Systeme mittels Leistungsfluß." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-97096.

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Im Beitrag wird zunächst die konventionelle auf Signalflüssen basierte Modellbildung mit modernen leistungsflussbasierten Methoden, die auf dem Prinzip von Aktion und Reaktion aufbauen, verglichen. BG (Bond Graph), POG (Power Oriented Graph) und EMR (Energetic Macroscopic representation) sind solche modernen Methoden die den Leistungsaustausch zwischen Teilsystemen als Grundlage für den Modellbildungsansatz nutzen. Diese Werkzeuge erhalten die physikalische Struktur, erlauben es in das dynamische System hineinzuschauen und unterstützen das Verständnis des Leistungsflusses. Unterschiede werden anhand verschiedener Eigenschaften in einer Tabelle angegeben. Nach Erläuterung der Grundlagen zu POG und BG erfolgt die Vorstellung einer Freeware Zusatzbibliothek zur Simulation von Bondgraphen. Spezielle Eigenschaften werden kurz umrissen. Diese Blockbibliothek läuft unter Simulink, besteht aus nur 9 mittels Menü konfigurierbaren Blöcken und realisiert bidirektionale Verbindungen. Die Beispiele Gleichstrommotor, Pulssteller und elastische Welle demonstrieren die Vorteile der leistungsflussorientierten Modellbildung. Zustandsregelung, Energieeffizienz und Simulink LTI Analysewerkzeuge führen in die Anwendung der vorgestellten Simulink Zusatzbibliothek für Bondgraphen ein
The paper starts with a comparison of the conventional modelling method based on signal flow and modern power flow oriented modelling methods based on the principle of action and reaction. BG (Bond Graph), POG (Power Oriented Graph) and EMR (Energetic Macroscopic representation) are such modern methods based on the power exchange between partial systems as a key element for the basic modelling approach. These tools preserve the physical structure, enable a view inside dynamical systems and support understanding the power flow. Relationships between these graphical representations will be given. After the explanation of basics for POG and BG an overview and special features of a freeware add-on library for simulation of BGs will be outlined. The block library runs under Simulink, consists of nine menu-driven customised blocks only and realises bidirectional connections. Examples DC motor, chopper and elastic shaft demonstrate the advantages of power flow oriented modelling. State space control, energy efficiency and Simulink LTI analysis tools exemplify the application of the presented Simulink add-on BG library

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2

Geitner, Gert-Helge. "Modellbildung dynamischer Systeme mittels Leistungsfluß." Technische Universität Dresden, 2009. https://tud.qucosa.de/id/qucosa%3A26149.

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Im Beitrag wird zunächst die konventionelle auf Signalflüssen basierte Modellbildung mit modernen leistungsflussbasierten Methoden, die auf dem Prinzip von Aktion und Reaktion aufbauen, verglichen. BG (Bond Graph), POG (Power Oriented Graph) und EMR (Energetic Macroscopic representation) sind solche modernen Methoden die den Leistungsaustausch zwischen Teilsystemen als Grundlage für den Modellbildungsansatz nutzen. Diese Werkzeuge erhalten die physikalische Struktur, erlauben es in das dynamische System hineinzuschauen und unterstützen das Verständnis des Leistungsflusses. Unterschiede werden anhand verschiedener Eigenschaften in einer Tabelle angegeben. Nach Erläuterung der Grundlagen zu POG und BG erfolgt die Vorstellung einer Freeware Zusatzbibliothek zur Simulation von Bondgraphen. Spezielle Eigenschaften werden kurz umrissen. Diese Blockbibliothek läuft unter Simulink, besteht aus nur 9 mittels Menü konfigurierbaren Blöcken und realisiert bidirektionale Verbindungen. Die Beispiele Gleichstrommotor, Pulssteller und elastische Welle demonstrieren die Vorteile der leistungsflussorientierten Modellbildung. Zustandsregelung, Energieeffizienz und Simulink LTI Analysewerkzeuge führen in die Anwendung der vorgestellten Simulink Zusatzbibliothek für Bondgraphen ein.:Modellbildung dynamischer Systeme mittels Leistungsfluß 1. Leistungsfluß versus Signalfluß 2. Konjugierte Leistungsvariablen und Kausalität 3. Grundlagen Leistungsfluß orientierter Modellierung 3.1 Definitionen zum POG (Power Oriented Graph) 3.2 Definitionen zu Grundelementen für Bondgraphen (BG) 4. Freeware Bibliothek zur Simulation von Bondgraphen 4.1 Übersicht und Nutzerfreundlichkeit 4.2 Besonderheiten 5. Beispiele 5.1 Gleichstrommotor mit starrer Welle 5.2 Elastische Welle 5.3 Eingangsfilter und Pulssteller 5.4 Vereinfachter Antriebsstrang 6. Anwendung der Simulink Bondgraph Blockbibliothek 6.1 Beispiel elastische Welle 6.2 Zustandsregelung 6.3 Energieeffizienz 6.4 Simulink Analysewerkzeuge 7. Vorteile im Überblick
The paper starts with a comparison of the conventional modelling method based on signal flow and modern power flow oriented modelling methods based on the principle of action and reaction. BG (Bond Graph), POG (Power Oriented Graph) and EMR (Energetic Macroscopic representation) are such modern methods based on the power exchange between partial systems as a key element for the basic modelling approach. These tools preserve the physical structure, enable a view inside dynamical systems and support understanding the power flow. Relationships between these graphical representations will be given. After the explanation of basics for POG and BG an overview and special features of a freeware add-on library for simulation of BGs will be outlined. The block library runs under Simulink, consists of nine menu-driven customised blocks only and realises bidirectional connections. Examples DC motor, chopper and elastic shaft demonstrate the advantages of power flow oriented modelling. State space control, energy efficiency and Simulink LTI analysis tools exemplify the application of the presented Simulink add-on BG library.:Modellbildung dynamischer Systeme mittels Leistungsfluß 1. Leistungsfluß versus Signalfluß 2. Konjugierte Leistungsvariablen und Kausalität 3. Grundlagen Leistungsfluß orientierter Modellierung 3.1 Definitionen zum POG (Power Oriented Graph) 3.2 Definitionen zu Grundelementen für Bondgraphen (BG) 4. Freeware Bibliothek zur Simulation von Bondgraphen 4.1 Übersicht und Nutzerfreundlichkeit 4.2 Besonderheiten 5. Beispiele 5.1 Gleichstrommotor mit starrer Welle 5.2 Elastische Welle 5.3 Eingangsfilter und Pulssteller 5.4 Vereinfachter Antriebsstrang 6. Anwendung der Simulink Bondgraph Blockbibliothek 6.1 Beispiel elastische Welle 6.2 Zustandsregelung 6.3 Energieeffizienz 6.4 Simulink Analysewerkzeuge 7. Vorteile im Überblick

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3

KUMAR, RISHIR. "COMPUTATIONAL ANALYSIS OF AN ECCENTRIC ROTOR THROUGH BONDGRAPH." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15949.

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The computational analysis of an eccentric rotor is based on the bondgraph approach where the eccentricity of the rotor is analysed using bondgraph. This approach is used in this experiment to justify the displacements in shaft rotation which is occurring due to eccentricity introduced in the shaft. The computational analysis is necessary because by getting these results, a graph can be plotted which will give an accurate result of the bondgraph approach and it can be seen that by how much the displacement is occurring when the eccentricity is increased. The modelling technique used in this approach introduces two shafts connected through a hub and is provided rotor excitation by connecting it through an external source that rotates it at different angular velocities. The shafts are connected in such a manner that it has displacements in radial axis and the displacement is noted. The bond graph modelling of shaft and spinning hub is done using symbol sonata software bond pad. Simulation of this model has been carried out on Symbols sonata software which uses the fourth order Runge-Kutta method. The variation in the position of centre mass of rotor with change in various parameters such as speed, clearance is observed. The data obtained is used to get plots.

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4

SINGHAL, SHALABH. "FAULT DIAGNOSIS AND COMPUTATIONAL MODELING OF RAILWAY TRACTION SYSTEM." Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16389.

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Because of the limited availability of fossil fuels, a major shift can be seen from petrol, diesel vehicles to electric and hydrogen based vehicles in the upcoming times. One of the major chunk of electric vehicles currently in use consists of EMU and high speed trains, which has seen an upsurge in demand in urban cities because of easy, economical, time saving and more comfortable commuting. With increased frequency of service and more and more number of passengers adding on daily, these systems are more prone to fault (or failure) which may lead to loss of life as well as money. So to avoid fault or failure either high preventive maintenance strategies shall be adopted or redundancy shall be increased, both of which leads to an increased cost. Fault is an unwanted, measurable, non-measurable, monitarable, non-monitarable, susceptible change in characteristics of system (running or at rest), which may or may not result in the failure of the system. Fault diagnosis approach so used involves an interaction of mathematical as well as physical model. Sensors are placed at optimum locations in the system which then interacts with the mathematical functions defining the system, and any inconsistency in the values obtained from output function so observed will be monitored and controlled. Also if a fault occurs, what would be its optimum path of travel is also figured out i.e which components are most likely to fail because of presence of certain fault in certain component. Using bondgraph, working on the concept of transfer of power (energy is conserved), which is sensitive to any form of spike in energy (either positive or negative), one can fairly predict the possibility of fault and its effect on the consecutive system working online with the help of sensors and ARRs (mathematical function). Thus one can isolate a fault before it becomes critical at subsequent stages. Same can be done in the model of traction system of an EMU which mainly comprises of power supply line, pantograph, transformer, induction motor, gearbox, and wheel. Thus a model is generated on a bondgraph which is simulated and analysed under normal working condition. Also its ARRs are also derived which when compared with the online system (or model) can help in determining the possible faults in the system.

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Books on the topic "BONDGRAPH MODELLING"

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Mukherjee, Amalendu, and Ranjit Karmakar. Modelling And Simulation of Engineering Systems Through Bondgraphs. Alpha Science International, Ltd, 2000.

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2

Mukherjee, Amalendu, and Ranjit Karmakar. Modelling and Simulation of Engineering Systems through Bondgraphs. Narosa, 2000.

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3

Mukherjee, a., and R. Karmakar. Modelling and Simulation of Engineering Systems Through Bondgraphs. Narosa Publishing House,India, 1999.

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4

Montgomery, John, Vjekoslav Damic, and Vjekoslav Damc. Mechatronics by Bondgraphs. Springer, 2003.

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Conference papers on the topic "BONDGRAPH MODELLING"

1

Saini, Sarvesh, Pushparaj M. Pathak, and M. Felix Orlando. "Bondgraph Modelling for the Master-Slave Robotic Teleoperation System." In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2019. http://dx.doi.org/10.1109/ro-man46459.2019.8956409.

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2

Heeringa, T. "Torsional Vibration Analysis by Bondgraph Modelling. A practical approach." In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.034.

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The traditional modeling approach in engineering is mathematical, but thanks to the advances in computer technology it is now possible for the practical engineer to model physical systems in a more “user friendly” way. This paper will demonstrate the power and simplicity of Bond Graphs in modelling technique. Bond Graph modelling was original developed in the late 1950s by the late Professor Henry M. Paynter of MIT. Professor Paynter acted well before his time as the main advantage of his creation, other than the modeling insight that it provides and the ability of effectively dealing with mechatronics, came into fruition only with the recent advent of modern computer technology and the tools derived as a result of it, including symbolic manipulation, MATLAB and SIMULINK and the simulation package 20sim, see: www.20sim.com , which allows direct input of the Bond Graph.

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