Modeling of Harmonic Drive System with Low-Frequency Resonance

Abstract:

In the design process of lightweight harmonic drive system, low-frequency resonance generally affects controller design, and restricts system servo performance. In the design stage of system, it has great significance that the resonant frequencies and dynamic performances could be predicted. This paper presents a modeling method of harmonic drive system which has low-frequency resonance. Takes an uniaxial harmonic drive system as example to describe the implementation process of the modeling method. The dynamics model of harmonic drive system has been built. Using Ansys, Recurdyn and Matlab, the rigid-flexible coupling dynamics simulation model of system has been established. The simulation model analysis and the actual system experiment have been done respectively. Comparing the simulation and experiment results, it shows that: the open-loop time-frequency domain characteristics and the structural modals of simulation and experiment results are basically consistent. Using this method, the resonant frequency and dynamic performance of harmonic drive system can be predicted in the system design stage, and improve design efficiency.

• Periodical: Key Engineering Materials (Volume 620)
• Pages: 424-430
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.620.424
• Online since: August 2014
• Authors: Mo Hei*, Qing Kun Zhou, Hong Bo Liao, Shi Xun Fan, Da Peng Fan
• Keywords: Dynamic, Finite Element, Harmonic Drive System, Low-Frequency Resonance

References

[1] T.D. Tuttle. Understanding and Modeling the Behavior of a Harmonic Drive Gear Transmission. (Ph.D., MIT Artificial Intelligence Laboratory, USA 1992), pp.13-25.

[2] H.D. Taghirad. Robust Torque Control of Harmonic Drive Systems. (Ph.D., McGill University, Canada 1997), pp.1-9.

[3] T. Tjahjowidodo, F. Al-Bender and H.V. Brussel. Mechatronics, Vol. 23 (2013), pp.497-504.

[4] R. Dhaouadi, F.H. Ghorbel and P.S. Gandhi. IEEE Transactions on Mechatronics, Vol. 50 (2003) No. 6, pp.1165-1171.

[5] Aberdeen Group. System Design: New Product Development for Mechatronics. Boston United States: s. n., (2008).

[6] D. Eastman, P. Lambrechts and A. Turevskiy, Design and Verification of Motion Control Algorithms using Simulation. The MathWorks Inc, United States (2009).

[7] NASA. Return on Investment for Independent Verification & Validation. NASA, United States (2004).

[8] I. Schäfer, R. Slatter. Proc. 2nd Unmanned Unlimited, Systems, Technologies, and Operations – Aerospac (San Diego, California, USA, 2003). p.6636.

[9] Q.K. Zhou, Z.Y. Zhang and D.P. Fan. Journal of ASL, Vol. 4 (2011) No. 6, p.2028-(2031).

[10] M. Hei, S.X. Fan, H.B. Liao and D.P. Fan. KEM, Vol. 579-580 (2014), pp.725-731.