Chrono::Electronics: An Open-Source Simulation Package for Complex Electro-Mechanical Problems

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This paper presents Chrono::Electronics, an open-source electro-mechanical co-simulation library that couples the multibody dynamics engine Project Chrono with the circuit simulator NGSpice to model dynamic interactions between mechanical systems and electrical devices such as actuators and sensors. The authors outline the library’s structure and validate it against experimental data using Bayesian inference to estimate and characterize brushed DC motor parameters for calibration, and then reuse the characterized motor to validate newly integrated library developments. A key caveat is that the validation and motor calibration focus on brushed DC motors as a representative actuator family, rather than covering other actuator types or applications. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract The growing relevance of mechatronic applications -- whose hallmark is a strong coupling between mechanical and electrical domains -- has led to renewed interest in the high-fidelity and expeditious simulation of electro-mechanical systems. Such simulations are particularly useful in robotics and automation, when the system has a mechanical part connected to various electromagnetic devices, e.g., actuators or sensors. To support this class of applications, in a previous work, we introduced \texttt{Chrono::Electronics} -- an open-source co-simulation solution for electro-mechanical systems. \texttt{Chrono::Electronics} is designed to combine the multibody dynamics open-source engine Project Chrono (PC), with the versatile open-source circuit simulator NGSpice (NGS), to solve complex dynamic interactions between the mechanical and electronics domains. In this contribution we outline the structure of the proposed library and report on its validation against experimental data. In the validation study, for calibration purposes, we rely on a Bayesian inference methodology for the estimation and characterization of the parameters of brushed DC motors, which represent a family of actuators widely employed in mechatronic applications. The motor thus characterized is later used to validate the new developments integrated into the library, demonstrating the framework's scalability and potential across a range of applications where accurate modeling of electro-mechanical interactions is important.
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Chrono::Electronics: An Open-Source Simulation Package for Complex Electro-Mechanical Problems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Chrono::Electronics: An Open-Source Simulation Package for Complex Electro-Mechanical Problems Federico Maria Reato, Matteo Santelia, Bret Witt, Jamiul Haque, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6566755/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The growing relevance of mechatronic applications -- whose hallmark is a strong coupling between mechanical and electrical domains -- has led to renewed interest in the high-fidelity and expeditious simulation of electro-mechanical systems. Such simulations are particularly useful in robotics and automation, when the system has a mechanical part connected to various electromagnetic devices, e.g., actuators or sensors. To support this class of applications, in a previous work, we introduced \texttt{Chrono::Electronics} -- an open-source co-simulation solution for electro-mechanical systems. \texttt{Chrono::Electronics} is designed to combine the multibody dynamics open-source engine Project Chrono (PC), with the versatile open-source circuit simulator NGSpice (NGS), to solve complex dynamic interactions between the mechanical and electronics domains. In this contribution we outline the structure of the proposed library and report on its validation against experimental data. In the validation study, for calibration purposes, we rely on a Bayesian inference methodology for the estimation and characterization of the parameters of brushed DC motors, which represent a family of actuators widely employed in mechatronic applications. The motor thus characterized is later used to validate the new developments integrated into the library, demonstrating the framework's scalability and potential across a range of applications where accurate modeling of electro-mechanical interactions is important. multibody dynamics equivalent circuit modelling Project Chrono NGSpice electro-mechanical co-simulation multiphysics simulation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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