Vibration control of industrial robot arms by multi-mode time-varying input shaping. (January 2021)
- Record Type:
- Journal Article
- Title:
- Vibration control of industrial robot arms by multi-mode time-varying input shaping. (January 2021)
- Main Title:
- Vibration control of industrial robot arms by multi-mode time-varying input shaping
- Authors:
- Thomsen, Dan Kielsholm
Søe-Knudsen, Rune
Balling, Ole
Zhang, Xuping - Abstract:
- Abstract : highlights: Vibration control of robot arm by Multi-Mode Time-Varying Input Shaping. Robot arm vibrational characteristics are estimated based on inertia. A complete dynamic map for real time evaluation is obtained within 72 minutes. Experimental implementation and validation in a commercial UR5e robot. Residual vibrations of industrial robot arm is reduced by up to 90%. Abstract: Robot arms exhibit non-ignorable residual vibration during point-to-point motion. Fractional Delay Time-Varying Input Shaping Technology (FD-TVIST) has previously been shown to reduce residual vibrations in robots arms, but requires an accurate estimate of the configuration dependent vibrational behavior. This paper presents a practical set of new tools for identifying and mapping the natural frequencies and damping ratios of dominant vibration modes of a robot arm with the commercial UR5e as a case. The new dynamic map is based on a physical interpretation of the robot arm, followed by strategic simplification. The new map of the vibration modes can be described by only 10 identified coefficients. Additionally, FD-TVIST is extended to the multi-mode case. The combination of new methods yields an efficient vibration suppression featuring short time delay, great robustness, simple implementation, low-cost computation, and insensitivity to trajectory generation method. Experimental implementation and validation in a commercial UR robot show that the residual vibration of the robotAbstract : highlights: Vibration control of robot arm by Multi-Mode Time-Varying Input Shaping. Robot arm vibrational characteristics are estimated based on inertia. A complete dynamic map for real time evaluation is obtained within 72 minutes. Experimental implementation and validation in a commercial UR5e robot. Residual vibrations of industrial robot arm is reduced by up to 90%. Abstract: Robot arms exhibit non-ignorable residual vibration during point-to-point motion. Fractional Delay Time-Varying Input Shaping Technology (FD-TVIST) has previously been shown to reduce residual vibrations in robots arms, but requires an accurate estimate of the configuration dependent vibrational behavior. This paper presents a practical set of new tools for identifying and mapping the natural frequencies and damping ratios of dominant vibration modes of a robot arm with the commercial UR5e as a case. The new dynamic map is based on a physical interpretation of the robot arm, followed by strategic simplification. The new map of the vibration modes can be described by only 10 identified coefficients. Additionally, FD-TVIST is extended to the multi-mode case. The combination of new methods yields an efficient vibration suppression featuring short time delay, great robustness, simple implementation, low-cost computation, and insensitivity to trajectory generation method. Experimental implementation and validation in a commercial UR robot show that the residual vibration of the robot manipulator is reduced up to 90% with the developed vibration control method. … (more)
- Is Part Of:
- Mechanism and machine theory. Volume 155(2021)
- Journal:
- Mechanism and machine theory
- Issue:
- Volume 155(2021)
- Issue Display:
- Volume 155, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 155
- Issue:
- 2021
- Issue Sort Value:
- 2021-0155-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Industrial robots -- Dynamic identification -- Time-varying dynamics -- Configuration dependent dynamics -- Vibration suppression -- Input shaping
Machine theory -- Periodicals
Machinery -- Periodicals
Machines -- Périodiques
Génie mécanique -- Périodiques
Machine theory
Machinery
Periodicals
621.81 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0094114X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.mechmachtheory.2020.104072 ↗
- Languages:
- English
- ISSNs:
- 0094-114X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5424.570800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14910.xml