Trajectory Tracking of Rotating Shaft with Active Magnetic Bearings under Different Reference Signals

Authors

  • Xudong Guan College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Jin Zhou College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Haitong Wu College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Yue Zhang College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Keywords:

Active magnetic bearings, machining movement, mechatronics modeling, reference signal, trajectory tracking

Abstract

Using magnetic levitation technology to implement a reference signal can avoid fluid mechanical surge and better control the movement of motorized spindle-mounted cutting tools. Magnetic levitation has the advantages of no friction, no mechanical wear, and high efficiency. In this paper, the performance of axial trajectory tracking control of active magnetic bearings with a classical proportional-integral-derivative (PID) controller is studied. First, the principles of trajectory tracking with an active magnetic bearing system are expounded, and the mechatronics models of such a system are established. Then, a PID controller is designed and trajectory tracking performance using different reference signals is verified by simulation and experiment. The results show that PID-based control of magnetic bearings can meet the requirements of tracking position control. In the experiments, the tracking errors were all within 18 μm in the rotating state.

Downloads

Download data is not yet available.

References

M. Tang, J. Zhou, C. Jin, and Y. Xu, “Vibration isolation of magnetic suspended platform with double closed-loop PID control,” Applied Computational Electromagnetics Society Journal, vol. 32, no. 8, pp. 712-719, 2017.

K. Sato and G. J. Maeda, “A practical control method for precision motion-Improvement of NCTF control method for continuous motion control,” Precision Engineering, vol. 33, no. 2, pp. 175-186, 2009.

H. Shi, D. Zhang, J. Yang, C. Ma, and G. Gong, “Experiment-based thermal error modeling method for dual ball screw feed system of precision machine tool,” International Journal of Advanced Manufacturing Technology, vol. 82, pp. 1693-1705, 2016.

A. Woronko, J. Huang, and Y. Altintas, “Piezoelectric tool actuator for precision machining on conventional CNC turning centers,” Precision Engineering, vol. 27, no. 4, pp. 335-345, 2003.

Y. Tian, B. Shirinzadeh, and D. Zhang, “A flexurebased mechanism and control methodology for ultra-precision turning operation,” Precision Engineering, vol. 33, no. 2, pp. 160-166, 2009.

S. Eckhardt and J. Rudolph, “High precision synchronous tool path tracking with an AMB machine tool spindle,” The 9th International Symposium on Magnetic Bearings, Lexington, KY, USA, 2004.

H. Wang and D. Hu, “Machining principle for noncircular piston pin-hole based on magnetic levitated spindle,” Chinese Internal Combustion Engine Engineering, vol. 27, no. 3, pp. 54-57, 2006.

A. Smirnov, A. H. Pesch, O. Pyrhönen, and J. T. Sawicki, “High-precision cutting tool tracking with a magnetic bearing spindle,” Journal of Dynamic Systems Measurement & Control, vol. 137, no. 5, pp. 1-8, 2015.

G. Schweitzer and E. H. Maslen, Magnetic Bearings. Springer, Berlin, Germany, 2009.

D. Sanadgol, “Active control of surge in centrifugal compressors using magnetic thrust bearing actuation,” Virginia: University of Virginia, 2006.

S. Y. Yoon, “Surge control of active magnetic bearing suspended centrifugal compressors,” Virginia: University of Virginia, 2011.

T. P. Minihan, S. Lei, G. Sun, A. Palazzolo, A. F. Kascak, and T. Calvert, “Large motion tracking control for thrust magnetic bearings with fuzzy logic, sliding mode, and direct linearization,” Journal of Sound and Vibration, vol. 263, no. 3, pp. 549-567, 2003.

A. H. Pesch, A. Smirnov, O. Pyrhönen, and J. T. Sawicki, “Magnetic bearing spindle tool tracking through μ-synthesis robust control,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 3, pp. 1448-1457, 2015.

S. Zheng, J. Yang, X. Song, and C. Ma, “Tracking compensation control for nutation mode of highspeed rotors with strong gyroscopic effects,” IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4156-4165, 2018.

T. R. Grochmal and A. F. Lynch. “Precision tracking of a rotating shaft with magnetic bearings by nonlinear decoupled disturbance observers,” IEEE Transactions on Control Systems Technology, vol. 15, no. 6, pp. 1112-1121, 2007.

S. Basovich, S. Arogeti, and Z. Brand, “Adaptive output zero-bias tracking control of 1DOF AMB suspension system,” International Conference on Control Automation Robotics & Vision IEEE, pp. 151-156, 2014.

S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design. Wiley, New York, USA, 2005.

Downloads

Published

2019-09-01

How to Cite

[1]
Xudong Guan, Jin Zhou, Haitong Wu, and Yue Zhang, “Trajectory Tracking of Rotating Shaft with Active Magnetic Bearings under Different Reference Signals”, ACES Journal, vol. 34, no. 09, pp. 1435–1444, Sep. 2019.

Issue

Section

Articles