Abstract
Ultrasonic motor (USM) is difficult to model theoretically because of the complexity and nonlinearity of its working principle. By considering the USM as a black box model, the experimental model of the USM can be determined from the relationship between the input and output measurement data. This paper introduces the composition and working principle of USM. Two-point model method and area model method for obtaining the parameters of the dynamic process of the model are introduced. The simulation analyzes the influence of sampling frequency, environmental noise, and modeling method on the modeling effect. The experimental platform is built and an actual USM is experimentally modeled to verify the feasibility of the modeling method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, Z., Zhao, C.: An effective frequency tracking control and balancing compensation between CW and CCW rotation speed techniques for ultrasonic motor. In: Proceeding of the IEEE Ultrasonics Symposium, vol. 3, pp. 2251–2254 (2004)
Shi, W., Wang, Y., Zhao, H., Huo, X., Chen, W.: LPV modelling and identification of nonlinear temperature dependence for ultrasonic motor. In: Proceeding of the Chinese Control And Decision Conference (CCDC), Shenyang, pp. 203–208 (2018)
Niu, Z., Cui, Y.: Simulation model for ultrasonic motors powered by resonant converters. In: Proceeding of the International Conference on Mechatronics and Machine Vision in Practice, pp. 1–5 (2007)
Jeong, S., Chong, H., Park, M.: Driving characteristics of the thin type ultrasonic motor using microcontroller. Piezoelectrics Appl. 49(2), 152–160 (2010)
Harmouch, K., Daniel, L., Bernard, Y. Aubry, J.M., Marchal, P.: Dynamic contact modelling for resonant piezoelectric motors. In: Proceeding of the International Conference on New Actuators, Bremen, Germany, pp. 1–4 (2018)
Senjyu, T., Nakamura, M., Urasaki, N.: Mathematical model of ultrasonic motors for speed control. In: Proceeding of the Twenty-First Annual IEEE Applied Power Electronics Conference and Exposition, vol. 6, no. 1, pp. 119–125 (2006)
Bekiroglu, E.: Ulteasonic motors: their models, drives, controls and applications. J. Electroceram. 20(3–4), 277–286 (2008)
Shuncai, Y., Ru, Z., Fei, D., Yifeng, R.: Study on modeling and state estimation of ultrasonic motor based on data driving. In: Proceedings of the International Conference on Modelling, Identification and Control (ICMIC), Guiyang, pp. 1–5 (2018)
Wang, G.: Force transfer model and characteristics of traveling-wave type ultrasonic motors. In: Proceeding of the IEEE Conference on Industrial Electronics and Applications, Harbin, pp. 1965–1970 (2007)
Wang, G., Guo, J.: Research on the frequency temperature characteristics of the ultrasonic motor. Electr. Mach. Control 12(6), 675–679 (2008)
Zhang, J., Zhang, T.: Development of servo control technique on ultrasonic motors. Electr. Mach. Control 13(6), 879–885 (2009)
Tarnaud, T., Joseph, W., Martens, L., Tanghe, E.: Computational modeling of ultrasonic subthalamic nucleus stimulation. Proc. IEEE Trans. Biomed. Eng. 66(4), 1155–1164 (2019)
Yang, X., Liu, Y., Chen, W., Zhao, X.: New excitation method for sandwich transducer using bending composite vibrations: modeling, simulation, and experimental evaluation. In: Proceeding of the IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 4889–4896, June 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, Q., Huo, X., Shi, W., Zhao, H. (2020). Experimental Modeling of Rotary Traveling-Wave Ultrasonic Motor. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_82
Download citation
DOI: https://doi.org/10.1007/978-981-15-0474-7_82
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0473-0
Online ISBN: 978-981-15-0474-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)