Study on Torque Measurement Errors’ Compensation of Reducer Based on Piecewise PID Control

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Abstract:

Reducer’s input torque and output torque characteristics determine the kinematics performances of electro actuators. During the torque measurement experiment, many factors lead to torque measurement error, the major error components of which are mechanical assembly’s precision and electrical machine’s driven features. Compensating electrical errors and obtaining the real mechanical characteristics are meaningful and necessary especially on the conditions of wide-scale torque measuring. Neglecting mechanical factors’ influences, this paper pays attention to system’s control features based on the actual project with the demands of steady state and dynamic torque loading. Considering the quantized error, the mathematical model of power driven system is established, and the appropriate control algorithm of piecewise PID method is proposed, the simulation curves of which are expressed. The actual measuring experiment curves of rotating angle and compensated torque are drawn, the results of which illustrate the torque measuring error induced by drivers has been obviously removed, which validates the efficiency of such method.

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Advanced Materials Research (Volumes 588-589)

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1446-1449

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] V. Niskanen and J. Ahola: Implementing Clamp on Wireless Torque Measurement System for Rotating Shaft Applications, [C]. Proceedings of the 2011-14th European Conference on Power Electronics and Applications. U.K. Vol. 1 (2): 645-654. (2011).

Google Scholar

[2] C.E. Jones, M. Barnes and A.J. Forsyth: Stability Analysis of Motor Drive Interactions in Aircraft Electrical Systems, [C]. Proceedings of the 2011-14th European Conference on Power Electronics and Applications. U.K. Vol. 1 (1): 214-223. (2011).

Google Scholar

[3] F. Andoh: Inertia Identification Method Based on the Product of the Integral of Torque Reference Input and Motor Speed, [C]. 17th IEEE International Conference on Control Applications. USA. Vol. 1 (2): 1151-1158. (2008).

DOI: 10.1109/cca.2008.4629585

Google Scholar

[4] F. Andoh: Moment of Inertia Identification Using the Time Average of the Product of Torque Reference Input and Motor Position, [J]. IEEE Transactions on Power Electronics. Vol. 22 (6): 2534-2542. (2007).

DOI: 10.1109/tpel.2007.909309

Google Scholar

[5] K. Zheng, T.L. Shen, Y. Yao, etc al: Load Torque Analysis Based on the Integrated Model of HPAS Systems, [C]. IEEE Vehicle Power and Propulsion Conference. China. Vol. 1 (2): 978- 983. (2008).

DOI: 10.1109/vppc.2008.4677628

Google Scholar

[6] Y. Chen, Q. Chen, and Y. Huang: Simulation of Electrically Power Hydraulic Steering System in Electric Vehicles, [J]. Journal of Asian Electric Vehicles, Vol. 2(1): 511-515. (2004).

DOI: 10.4130/jaev.2.511

Google Scholar

[7] R. Yuan, J. Cao, and G. Li, etc al: Torque Control of Electro-Hydraulic Servo System based on Synthesis Theory, [C]. 1st International Symposium on Systems and Control in Aerospace and Astronautics, China. Vol. 1 (1): 1175-1179. (2006).

DOI: 10.1109/isscaa.2006.1627575

Google Scholar

[8] H. N. Bertram, and J. G. Zhu: Simulations of Torque Measurements and Noise in Thin Film Magetic Recording Media, [C]. IEEE Transactions on Magnetics, Vol. 27(6): 5043-5045. (1991).

DOI: 10.1109/20.278734

Google Scholar