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      The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control

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          Abstract

          The single, double, and triple pendulum has served as an illustrative experimental benchmark system for scientists to study dynamical behavior for more than four centuries. The pendulum system exhibits a wide range of interesting behaviors, from simple harmonic motion in the single pendulum to chaotic dynamics in multi-arm pendulums. Under forcing, even the single pendulum may exhibit chaos, providing a simple example of a damped-driven system. All multi-armed pendulums are characterized by the existence of index-one saddle points, which mediate the transport of trajectories in the system, providing a simple mechanical analog of various complex transport phenomena, from biolocomotion to transport within the solar system. Further, pendulum systems have long been used to design and test both linear and nonlinear control strategies, with the addition of more arms making the problem more challenging. In this work, we provide extensive designs for the construction and operation of a high-performance, multi-link pendulum on a cart system. Although many experimental setups have been built to study the behavior of pendulum systems, such an extensive documentation on the design, construction, and operation is missing from the literature. The resulting experimental system is highly flexible, enabling a wide range of benchmark problems in dynamical systems modeling, system identification and learning, and control. To promote reproducible research, we have made our entire system open-source, including 3D CAD drawings, basic tutorial code, and data. Moreover, we discuss the possibility of extending our system capability to be operated remotely, enabling researchers all around the world to use it, thus increasing access.

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          Highlights

          • Presented detailed tutorial on how to build a multi-link pendulum on the cart system.

          • Open-sourced design files, 3D CAD files, Simulink files, and control files.

          • Open access data sets of the pendulum system from encoders and slow motion camera.

          • All files can be downloaded at https://doi.org/10.5281/zenodo.6633719.

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          Most cited references76

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          Construction of higher order symplectic integrators

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            Distilling free-form natural laws from experimental data.

            For centuries, scientists have attempted to identify and document analytical laws that underlie physical phenomena in nature. Despite the prevalence of computing power, the process of finding natural laws and their corresponding equations has resisted automation. A key challenge to finding analytic relations automatically is defining algorithmically what makes a correlation in observed data important and insightful. We propose a principle for the identification of nontriviality. We demonstrated this approach by automatically searching motion-tracking data captured from various physical systems, ranging from simple harmonic oscillators to chaotic double-pendula. Without any prior knowledge about physics, kinematics, or geometry, the algorithm discovered Hamiltonians, Lagrangians, and other laws of geometric and momentum conservation. The discovery rate accelerated as laws found for simpler systems were used to bootstrap explanations for more complex systems, gradually uncovering the "alphabet" used to describe those systems.
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              Discrete mechanics and variational integrators

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                Author and article information

                Contributors
                Journal
                HardwareX
                HardwareX
                HardwareX
                Elsevier
                2468-0672
                07 August 2023
                September 2023
                07 August 2023
                : 15
                : e00465
                Affiliations
                [a ]Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, United States of America
                [b ]Department of Aeronautics, Imperial College London, London, SW7 2AZ, United Kingdom
                [c ]Department of Mathematics and Statistics, Concordia University, Montréal, QC H3G 1M8, Canada
                [d ]XFlow Energy Company, Seattle, WA, 98108, United States of America
                [e ]Department of Applied Mathematics, University of Washington, Seattle, WA 98195, United States of America
                Author notes
                [* ]Corresponding author. kadierk@ 123456uw.edu
                Article
                S2468-0672(23)00072-X e00465
                10.1016/j.ohx.2023.e00465
                10458325
                a60e4055-bdf0-4825-a2f6-f4fd70a21f9f
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 December 2022
                : 4 July 2023
                : 15 July 2023
                Categories
                Hardware Article

                single pendulum,double pendulum,triple pendulum,pendulum on the cart,simulink real-time,dynamical system,chaos,nonlinear dynamics,open access hardware,open access data

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