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Validation of multibody modeling and simulation using an instrumented bicycle: from the computer to the road.

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Title: Validation of multibody modeling and simulation using an instrumented bicycle: from the computer to the road.
Authors: Escalona, José L.1,2, Kłodowski, Adam3, Muñoz, Sergio2 sergiomunoz@us.es
Source: Multibody System Dynamics. Aug2018, Vol. 43 Issue 4, p297-319. 23p.
Subjects: Multibody systems, Computer simulation, Bicycles, Digital technology, Kinematics, Detectors
Abstract: This paper describes the use of an instrumented bicycle and its computational model for teaching multibody dynamics. The presented approach employs the Whipple model for the kinematic and inverse dynamic simulation of a bicycle ride using as an input three generalized coordinates registered with digital sensors. During the experimental phase, students ride the instrumented bicycle to collect the necessary sensor data. The kinematic and inverse dynamic simulations based on these signals provide a full picture of the motion of the system in different positions and at a range of velocities and accelerations. In addition, they estimate the traction, control, and tire-to-road contact forces during the ride. To validate the simulated results, the simulated velocity and accelerations are compared with the data acquired with an inertial measurement unit (IMU) installed on the bicycle. The paper describes the experimental setup of the instrumented bicycle, enabling readers to build the very same system for their own educational use. The instrumented bicycle system is based on open-source software and as much as possible on open hardware. [ABSTRACT FROM AUTHOR]
Copyright of Multibody System Dynamics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Validation of multibody modeling and simulation using an instrumented bicycle: from the computer to the road.
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  Data: <searchLink fieldCode="AR" term="%22Escalona%2C+José+L%2E%22">Escalona, José L.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kłodowski%2C+Adam%22">Kłodowski, Adam</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Muñoz%2C+Sergio%22">Muñoz, Sergio</searchLink><relatesTo>2</relatesTo><i> sergiomunoz@us.es</i>
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  Data: <searchLink fieldCode="DE" term="%22Multibody+systems%22">Multibody systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Bicycles%22">Bicycles</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink>
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  Data: This paper describes the use of an instrumented bicycle and its computational model for teaching multibody dynamics. The presented approach employs the Whipple model for the kinematic and inverse dynamic simulation of a bicycle ride using as an input three generalized coordinates registered with digital sensors. During the experimental phase, students ride the instrumented bicycle to collect the necessary sensor data. The kinematic and inverse dynamic simulations based on these signals provide a full picture of the motion of the system in different positions and at a range of velocities and accelerations. In addition, they estimate the traction, control, and tire-to-road contact forces during the ride. To validate the simulated results, the simulated velocity and accelerations are compared with the data acquired with an inertial measurement unit (IMU) installed on the bicycle. The paper describes the experimental setup of the instrumented bicycle, enabling readers to build the very same system for their own educational use. The instrumented bicycle system is based on open-source software and as much as possible on open hardware. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Multibody System Dynamics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11044-018-9626-7
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        Text: English
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        Type: general
      – SubjectFull: Computer simulation
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      – SubjectFull: Bicycles
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      – SubjectFull: Kinematics
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              M: 08
              Text: Aug2018
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