Overview of Coupling of Multibody and Control Engineering Tools

Vaculı́n, O.; Krüger, Wolf R.; Valášek, Michael

doi:10.1080/00423110412331300363

Cited by 29 publications

(13 citation statements)

References 3 publications

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“…Good examples are vehicles with active and semi-active suspensions [14][15][16]. This approach allows us to study control strategies and a controller's influence on dynamic performance of almost every multibody structure [17].…”

Section: Introductionmentioning

confidence: 99%

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Application of joint coordinates and homogeneous transformations to modeling of vehicle dynamics

Szczotka

Wojciech

2007

Nonlinear Dyn

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The paper presents a method of modeling dynamics of multibody systems with open and closed kinematic chains. The joint coordinates and homogeneous transformations are applied in order to formulate the equations of motion of a rigid body. In this method, constraint equations are introduced only in the case when closed subchains are considered or when the joint reactions have to be calculated. This allows the number of generalized coordinates in the system to be reduced in comparison to the case when absolute coordinates are applied. It is shown how the method can be applied to modeling of vehicle dynamics. The calculation results are compared with those obtained when the ADAMS/Car package is used. Experimental verification has been performed and is reported in the paper, as well. In both cases, a good correspondence of results has been achieved. Final remarks concerning advantages and disadvantages of the method are formulated at the end of the paper.

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Section: Introductionmentioning

confidence: 99%

“…...,n S ;l,j =1,2,3 are respectively the elements of matrices B (S) and B (S) k .Bearing in mind formulae(17), (22c) and(24), the equations of motion of body (S) can be written in the form:A (S)q(S) = Q (S) − h (S) − F (S) g = f (S) (25) where A (S) , h (S) , F(S)g are defined in (17), (22c), Q (S) = (Q (S) k ) k=1,...,n S , and Q (S) k are defined in…”

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confidence: 99%

Application of joint coordinates and homogeneous transformations to modeling of vehicle dynamics

Szczotka

Wojciech

2007

Nonlinear Dyn

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“…Therefore, an interface based multi-disciplinary modeling and simulation method is adopted in the research. Most of the present researches in this field mainly focus on the uni-directional or bi-directional [4] coupling simulation between two subsystems in a single platform, for example, PC1 with Windows system as shown in Fig. 1 (a) and (b), while many mechatronics systems (eg.…”

Section: Related Workmentioning

confidence: 99%

“…It provides two methods of simulator coupling, namely the iteration method and filter method to resolve the problems in which coupling of simulators may result in an unstable integration. Krüger and Vaculin [3][4] classified the multidisciplinary simulation, and based on MBS of SIMPCAK, they proposed multidisciplinary simulation and combined different CAE tools, like FEA, CAD, and CACE, allowing the computation and evaluation of a complex system with the desired accuracy and within acceptable computation times. Liang [5] proposed a novel combinative algorithm for communication among domain models in multidisciplinary collaborative simulation by using a proper model encapsulation method and a matched RTI control strategy.…”

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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“…when optimization of the pump control is sought, a more detailed modeling is required, and the dynamics of hydraulic actuators should be taken into account. Some attempts have been presented in the literature in this direction [8,9]. From the integration point of view, two different approaches have been followed, namely, the unified approach, and the co-integration.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Unified Method for the Combined Simulation of Multibody and Hydraulic Dynamics: Comparison with Simplified and Co-Integration Approaches

Naya¹,

Cuadrado²,

Dopico³

et al. 2011

Archive of Mechanical Engineering

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A formulation developed at the Laboratory of Mechanical Engineering allows robust and efficient simulation of large and complex multibody systems. Simulators of cars, excavators and other systems have been developed showing that real-time simulations are possible even when facing demanding manoeuvres.Hydraulic actuators are present in many industrial applications of multibody systems, like in the case of the heavy machinery field. When simulating the dynamics of this kind of problems that combine multibody dynamics and hydraulics, two different approaches are common: to resort to kinematically guide the variable length of the actuator, thus avoiding the need to consider the dynamics of the hydraulic system; or to perform a multi-rate integration of both subsystems if a more detailed description of the problem is required, for example, when the objective of the study is to optimize the pump control.This work addresses the inclusion of hydraulic actuators dynamics in the abovementioned self-developed multibody formulation, thus leading to a unified approach. An academic example serves to compare the efficiency, accuracy and ease of implementation of the simplified (kinematic guidance), multi-rate and unified approaches. Such a comparison is the main contribution of the paper, as it may serve to provide guidelines on which approach to select depending on the problem characteristics.

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Overview of Coupling of Multibody and Control Engineering Tools

Cited by 29 publications

References 3 publications

Application of joint coordinates and homogeneous transformations to modeling of vehicle dynamics

Application of joint coordinates and homogeneous transformations to modeling of vehicle dynamics

Collaborative simulation method with spatiotemporal synchronization process control

An Efficient Unified Method for the Combined Simulation of Multibody and Hydraulic Dynamics: Comparison with Simplified and Co-Integration Approaches

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