A systematic procedure to obtain the block diagram model from the bond graph model

Ibănescu, Radu; Ibănescu, Mihaela

doi:10.1051/matecconf/201817805006

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…With years of evolution and refinement, it has gained practical application across numerous research fields, particularly in mechatronics systems, unveiling considerable prospects for application. This methodology allows for the extraction of pivotal system parameters based on system attributes, which facilitates a more intuitive derivation of the system state equation [43][44][45], making this theory an instrumental tool for resolving dynamic analysis of complex systems [46][47][48].…”

Section: Introductionmentioning

confidence: 99%

Research into a Marine Helicopter Traction System and Its Dynamic Energy Consumption Characteristics

Jia,

Shao,

Liu

et al. 2023

Applied Sciences

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As countries attach great importance to the ocean-going navigation capability of ships, the energy consumption of shipborne equipment has attracted much attention. Although energy consumption analysis is a guiding method to improve energy efficiency, it often ignores the dynamic characteristics of the system. However, the traditional dynamic analysis method hardly considers the energy consumption characteristics of the system. In this paper, a new type of electric-driven helicopter traction system is designed based on the ASIST system. Combined with power bond graph theory, a system dynamic modeling method that considers both dynamic and energy consumption characteristics is proposed, and simulation analysis is carried out. The results indicate that the designed traction system in this study displays high responsiveness, robust, steady-state characteristics, and superior energy efficiency. When it engages with helicopter-borne aircraft, it swiftly transitions to a stable state within 0.2 s while preserving an efficient speed tracking effect under substantial load force, and no significant fluctuations are detected in the motor rotation rate or the helicopter movement velocity. Moreover, it presents a high energy utilization rate, achieving an impressive energy utilization rate of 84% per single working cycle. Simultaneously, the proposed modeling methodology is validated as sound and effective, particularly apt for the dynamic and power consumption analysis of marine complex machinery systems, guiding the high-efficiency design of the transmission system.

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