Multiple-field systems dynamic modeling, Part I: Physical decomposition of multi-physical systems, a bond graph approach

Zanj, Amir; He, Fangpo

doi:10.1109/icmae.2017.8038726

Cited by 4 publications

(1 citation statement)

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“…Additionally, bond graphs allow modeling systems formed by different energy domains (electrical, mechanical, hydraulic, thermal) and structural properties of the systems are determined from the junction structure [21][22][23][24]. Some advantages in modeling physical systems using bond graphs have been discussed in [25,26].…”

Section: Introductionmentioning

confidence: 99%

Approximation of Linearized Systems to a Class of Nonlinear Systems Based on Dynamic Linearization

et al. 2021

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An alternative method to analyze a class of nonlinear systems in a bond graph approach is proposed. It is well known that the analysis and synthesis of nonlinear systems is not a simple task. Hence, a first step can be to linearize this nonlinear system on an operation point. A methodology to obtain linearization for consecutive points along a trajectory in the physical domain is proposed. This type of linearization determines a group of linearized systems, which is an approximation close enough to original nonlinear dynamic and in this paper is called dynamic linearization. Dynamic linearization through a lemma and a procedure is established. Therefore, linearized bond graph models can be considered symmetric with respect to nonlinear system models. The proposed methodology is applied to a DC motor as a case study. In order to show the effectiveness of the dynamic linearization, simulation results are shown.

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