2003
DOI: 10.1016/s1367-5788(03)00010-5
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Modelling of physical systems for the design and control of mechatronic systems

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Cited by 77 publications
(49 citation statements)
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“…An example is the DSP board shown in Figure 4. More on the use of this port-based modeling approach for the design of mechatronics systems can be found in Van Amerongen (2002) and Van Amerongen and Breedveld (2003).…”
Section: Modeling Of Mechatronic Systemsmentioning
confidence: 99%
“…An example is the DSP board shown in Figure 4. More on the use of this port-based modeling approach for the design of mechatronics systems can be found in Van Amerongen (2002) and Van Amerongen and Breedveld (2003).…”
Section: Modeling Of Mechatronic Systemsmentioning
confidence: 99%
“…The design and the analysis of such complex systems are usually conducted with analytical methods based on physical equations or signal-flow methods based on transfer functions written on a block diagrams form. Unfortunately, these two classical approaches may cause a loss of the physical sense and the visibility of the modeling assumptions [2,3]. Moreover, reusing models and taking account increasing complexity can be cumbersome and prone to errors because of the need of manual transformations so as to build physics-based model libraries with block diagrams [3].…”
Section: Introductionmentioning
confidence: 99%
“…Note however, that (12) contains the term i 1 -i 2 as well as v 2 which corresponds to the end-point velocity in the mechanical system or, in other words, the sum of the joint rates r 1 +r 2 . To obtain a correspondence between electrical and mechanical component values, the dynamic equation (10) …”
Section: The Mass/pulley (Mp) Modelmentioning
confidence: 99%
“…This coupling is modelled by c 12 and p' 12 in the equivalent electrical and mechanical models shown in Figure 13. Typically, parallel manipulators also have coupled damping terms due to their passive joints which would be modelled by a conductance g 12 added between nodes 1 and 2 (i.e.…”
Section: Parallel 2-dof Robotmentioning
confidence: 99%
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