Abstract
The torque ripple that leads to vibration greatly affects the performance of robotic joint like motion accuracy. However, the torque ripple models currently used in feedforward control are incomprehensive because only motor or harmonic drive torque ripple of the joint is considered. In this paper, a new torque ripple model based on experimental data and the spectrum of the whole transmission chain are proposed and analyzed. In the model, the torque ripple includes the fluctuation caused by transmission error of the harmonic drive and cogging torque of the motor. The transmission error is modeled with the comparison of position signals of two encoders which are installed at motor and load sides respectively. In order to study the torque ripple produced by the motor and the load variation in transmission chain, experimental tests with different motor velocity and varying load inertia are conducted. The robotic joint torque ripple is accurately modeled through analyzing dynamic characteristic of position difference between the motor side and load side.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Musser, C.W.: CSG-CSF_Component (1955)
Iwasaki, M., Nakamura, H.: Vibration suppression for angular transmission errors in HDG and application to industrial robots. In: Proceedings of the 19th World Congress the International Federation of Automatic Control, Cape Town, South Africa (2014)
Han, C.H., Wang, C.C., Tomizuka, M.: Suppression of vibration due to transmission error of harmonic drives using peak filter with acceleration feedback, pp. 182–187 (2008)
Iwasaki, M., et al.: Modeling and compensation for angular transmission error of HDG in high precision positioning. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2009)
Sasaki, K., et al.: Method for compensating for angular transmission error of wave gear device. US8296089 (2012)
Qian, W., Nondhal, T.A.: Mutual torque ripple suppression of surface-mounted permanent magnet synchronous motor. In: 8th International Conference on Electrical Machines & Systems (2005)
Islam, R., et al.: Permanent-magnet synchronous motor magnet designs with skewing for torque ripple and cogging torque reduction. IEEE Trans. Ind. Appl. 45(1), 152–160 (2009)
Kim, K.-C.: A novel method for minimization of cogging torque and torque ripple for interior permanent magnet synchronous motor. IEEE Trans. Magn. 50(2), 793–796 (2014)
Pham, A.D., Ahn, H.J.: High precision reducers for industrial robots driving 4th industrial revolution: state of arts, analysis, design, performance evaluation and perspective. Int. J. Precis. Eng. Manuf.-Green Technol. 5(4), 519–533 (2018)
csd-shd-catalog. http://www.datasheetarchive.com/whats_new/e9c18edf952ac23e50c6797042cc670b.html
Hirano, Y., et al.: Vibration suppression control method for trochoidal reduction gears under load conditions. IEEJ J. Ind. Appl. 5(3), 267–275 (2015)
Tuttle, T.D., Seering, W.: Modeling a harmonic drive gear transmission. In: IEEE International Conference on Robotics and Automation. IEEE, Atlanta (1993)
Acknowledgement
This paper is supported by the National Key R & D Program of China (Grant No. 2017YFB1300400); NSFC-Fund (Grant No. 51805523); NSFC-Shenzhen Robotic Fundamental Research Center Project (Grant No. U1813223); Equipment Advanced Research Fund of China (Grant No. 6140923010102); The Innovation Team of Key Components and Technology for the New Generation Robot under Grant No. 2016B10016.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Liao, Y., Zhang, C., Wang, C., Chen, CY., Xin, Q., Chen, SL. (2019). Modeling of Torque Ripple for Integrated Robotic Joint. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11740. Springer, Cham. https://doi.org/10.1007/978-3-030-27526-6_65
Download citation
DOI: https://doi.org/10.1007/978-3-030-27526-6_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27525-9
Online ISBN: 978-3-030-27526-6
eBook Packages: Computer ScienceComputer Science (R0)