Using of Co-simulation ADAMS-SIMULINK for development of mechatronic systems

Březina, Tomáš; Hadaš, Zdeněk; Vetiska, Jan

doi:10.1109/mechatron.2011.5961080

Cited by 55 publications

(31 citation statements)

References 11 publications

(10 reference statements)

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“…In the field of multi-disciplinary modeling and simulation of complex mechanical systems, the most practical approach is to use commercially available software to analyze system inputs, outputs, boundary conditions, etc., and then define the co-simulation mode, such as the combined simulation of LMS [11] , ADAMS/CONTROL and MATLAB/SIMULINK [12] , or under the collaborative simulation architecture of HLA/RTI [13] . The data management systems for multi-disciplinary simulation are also mainly developed by mainstream software vendors, such as SLM of Dessault System, EKM of ANSYS, MSC of SimManager, Teamcenter of Siemens [14] .…”

Section: Related Workmentioning

confidence: 99%

Collaborative simulation method with spatiotemporal synchronization process control

Zou

Ding

Zhang

et al. 2016

Chin. J. Mech. Eng.

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) Abstract: In the field of modeling and simulation of a complex mechatronics system, such as high speed trains, it is relatively difficult to model the entire system because it involves complex multi-disciplinary subsystems. Therefore, the component-based modeling strategy is presented to first build up simulation models for all the subsystems, which are relatively domain independent and then to coordinate all subsystems' simulation consistently to achieve a coupled simulation of the entire system. However, the dynamic behaviors of individual subsystems are different, thus each individual subsystem requires a different integral step size in its simulation in order to make its state and behavior simulation smoothly and steadily. Meanwhile, completion of one-step integration of a subsystem needs different computational time. This gives rise to a twofold challenge: spatial and time unsynchronizations among subsystem simulations.The core of the weak coupling simulation of multiple subsystems is to exchange the state and behavior data among relative subsystems at a given position and drive them to start the following step simulation together, thus, the use of a spatiotemporal synchronization process control is necessary. This paper proposes a new collaborative simulation method with spatiotemporal synchronization process control for coupling simulation of a given complex mechatronics system with multiple subsystems. The method consists of (1) a coupler-based coupling mechanisms to define the interfaces and interaction mechanisms among subsystems and (2) a simulation process control algorithm to realize the coupling simulation in a spatiotemporal synchronized manner. The proposed method well supports complex design process planning and design automation.The test results from a case study show that the proposed method can indeed be used to simulate the interactions among the sub-systems under different sim...

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Section: Related Workmentioning

confidence: 99%

Collaborative simulation method with spatiotemporal synchronization process control

Zou

Ding

Zhang

et al. 2016

Chin. J. Mech. Eng.

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“…To overcome this situation, recent approaches address a coupling of different simulation environments in order to secure development decisions across disciplines and simulation tools. Examples, which allow a coupling of specific simulation tools, include the approach from Groothuis et al [37] or from Brezina et al [38]. Additionally, approaches like the Functional Mock-Up Interface [39] are available, which offer standards for the co-simulation of a large variety of simulation tools.…”

Section: Simulation In Mechatronic Systems Engineeringmentioning

confidence: 99%

From Conception to Refinement in Mechatronics Systems Engineering

Hackenberg¹,

Richter²,

Zaeh³

2015

IJMMM

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Abstract-The complexity of mechatronic systems increases constantly due to market requirements. Traditional engineering approaches have troubles coping with the desired functionality. A major problem is the early and continuous integration and coordination of engineering disciplines (i.e. mechanic, electric, and software). To address this situation and to enable a concurrent engineering of participating disciplines, a model-based approach to early conception and subsequent refinement of mechatronic systems is proposed in this paper. This approach allows specifying a high-level mechatronic concept within a single editor and the refinement of this concept by integrating it with established engineering tools. In particular, the paper outlines the technical and methodical integration of discipline-specific tools such that refinement steps can be tested automatically and continuously. The suitability of the approach is shown along selected examples. Finally, the paper finishes with a reflection on the current state and an outlook on future research activities.Index Terms-Model-based development, concurrent engineering, mechatronic systems engineering.

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“…This technique is used in the development stage in which the physical, mathematical, mechatronic and control systems are designed [44]. According to [45] too much detailed models generate a high computational cost, due to this the Adams TM model only considers the vehicle longitudinal dynamics.…”

Section: Co-simulationmentioning

confidence: 99%

An Influence Study of Parallel Hybrid Vehicle Propulsion System Configurations

Eckert

Corrêa

Santiciolli

et al. 2015

Anais Do XXIII Simpósio Internacional De Engenharia Automotiva

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The hybrid electric vehicle (HEV) became an alternative to reduce the fuel consumption. The HEV parallel configuration consists of two separated drive systems, such as the engine/powertrain system and an extra electric motors (EMs) system. The addition of an extra electrical power changes the engine operation point and consequently the fuel consumption. However, there are many ways to introduce this electrical power source as a secondary drive system. In this paper, two parallel HEV configurations are studied in a condition where the conventional engine/powertrain system, coupled to the vehicle front wheels, is the main power source and two different configurations of EMs drive system, coupled to the rear wheels, are auxiliary power sources. The first one consists of two in-wheel motors coupled directly to the vehicle rear wheels and the other one is an EM coupled to a differential system similar to the existent in the conventional vehicle powertrain. The aim of this paper is to simulate and compare the HEV behavior with the conventional vehicle behavior, both of them running in the Brazilian urban drive cycle NBR6601, evaluating differences in performance, fuel consumption and battery discharging when applicable. INTRODUTIONThe increasing number of cars may be causing serious effects to the environment and to humans, such as pollution, global warming, depletion of oil reserves, among others The hybrid vehicles use different power sources with various powertrain configurations, including the ICE, electric motors (EMs), electric generators and battery packs [6]. In this paper are studied the hybrid electric vehicles (HEVs) that are one of the solutions proposed to minimize problems associated with the energy crisis and global warming [3]. These vehicles consume less gasoline and emit less pollution than conventional vehicles without decreasing

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Using of Co-simulation ADAMS-SIMULINK for development of mechatronic systems

Cited by 55 publications

References 11 publications

Collaborative simulation method with spatiotemporal synchronization process control

Collaborative simulation method with spatiotemporal synchronization process control

From Conception to Refinement in Mechatronics Systems Engineering

An Influence Study of Parallel Hybrid Vehicle Propulsion System Configurations

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