Vibration suppression of speed-controlled robots with nonlinear control

Paolo BOSCARIOL, Alessandro GASPARETTO

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PDF(767 KB)
Front. Mech. Eng. ›› 2016, Vol. 11 ›› Issue (2) : 204-212. DOI: 10.1007/s11465-016-0380-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Vibration suppression of speed-controlled robots with nonlinear control

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Abstract

In this paper, a simple nonlinear control strategy for the simultaneous position tracking and vibration damping of robots is presented. The control is developed for devices actuated by speed-controlled servo drives. The conditions for the asymptotic stability of the closed-loop system are derived by ensuring its passivity. The capability of achieving improved trajectory tracking and vibration suppression is shown through experimental tests conducted on a three-axis Cartesian robot. The control is aimed to be compatible with most industrial applications given the simplicity of implementation, the reduced computational requirements, and the use of joint position as the only measured signal.

Keywords

industrial robot / nonlinear control / vibration damping / model-free control / motion control

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Paolo BOSCARIOL, Alessandro GASPARETTO. Vibration suppression of speed-controlled robots with nonlinear control. Front. Mech. Eng., 2016, 11(2): 204‒212 https://doi.org/10.1007/s11465-016-0380-3

References

[1]
Siciliano B, Khatib O. Springer Handbook of Robotics. Berlin: Springer, 2008
[2]
Book W J. Modeling, design, and control of flexible manipulator arms: A tutorial review. In: Proceedings of the 29th IEEE Conference on Decision and Control. Honolulu: IEEE, 1990, 500–506
CrossRef Google scholar
[3]
Dwivedy S K, Eberhard P. Dynamic analysis of flexible manipulators, a literature review. Mechanism and Machine Theory, 2006, 41(7): 749–777
CrossRef Google scholar
[4]
Loughlin C, Albu-Schäffer A, Haddadin S, The DLR lightweight robot: Design and control concepts for robots in human environments. Industrial Robot, 2007, 34(5): 376–385
CrossRef Google scholar
[5]
Troccaz J, Hagn U, Nickl M, The DLR MIRO: A versatile lightweight robot for surgical applications. Industrial Robot, 2008, 35(4): 324–336
CrossRef Google scholar
[6]
Benosman M, Le Vey G. Control of flexible manipulators: A survey. Robotica, 2004, 22(05): 533–545
CrossRef Google scholar
[7]
Åström K J, Hägglund T. PID Controllers: Theory, Design and Tuning. Instrument Society of America, 1995
[8]
Takatsu H, Itoh T. Future needs for control theory in industry-report of the control technology survey in Japanese industry. IEEE Transactions on Control Systems Technology, 1999, 7(3): 298– 305
CrossRef Google scholar
[9]
Vilanova R, Visioli A. PID control in the third millennium. Berlin: Springer, 2012
[10]
Wills A G, Bates D, Fleming A J, Model predictive control applied to constraint handling in active noise and vibration control. IEEE Transactions on Control Systems Technology, 2008, 16(1): 3–12
CrossRef Google scholar
[11]
Richalet J. Industrial applications of model based predictive control. Automatica, 1993, 29(5): 1251–1274
CrossRef Google scholar
[12]
Kwon W H, Han S H. Receding Horizon Control: Model Predictive Control for State Models. Springer Science & Business Media, 2006
[13]
Dieulot J Y, Colas F, Benhammi T, Fast tuning and comparison of predictive functional control strategies. Control Engineering and Applied Informatics, 2009, 11(1): 27–33
[14]
Boscariol P, Zanotto V. Design of a controller for trajectory tracking for compliant mechanisms with effective vibration suppression. Robotica, 2012, 30(01): 15–29
CrossRef Google scholar
[15]
Chiacchio P, Sciavicco L, Siciliano B. The potential of model-based control algorithms for improving industrial robot tracking performance. In: Proceedings of the IEEE International Workshop on Intelligent Motion Control. IEEE, 1990, 2: 831–836
CrossRef Google scholar
[16]
Gasparetto A, Boscariol P, Lanzutti A, Trajectory planning in robotics. Mathematics in Computer Science, 2012, 6(3): 269–279
CrossRef Google scholar
[17]
Singhose W. Command shaping for flexible systems: A review of the first 50 years. International Journal of Precision Engineering and Manufacturing, 2009, 10(4): 153–168
CrossRef Google scholar
[18]
Singh T, Singhose W. Input shaping/time delay control of maneuvering flexible structures. In: Proceedings of the 2002 American Control Conference. IEEE, 2002, 3: 1717–1731
CrossRef Google scholar
[19]
Singh T. Jerk limited input shapers. In: Proceedings of the 2004 American Control Conference. Boston: IEEE, 2004, 5: 4825–4830
[20]
Singhose W E, Seering W P, Singer N C. Input shaping for vibration reduction with specified insensitivity to modeling errors. Japan/USA Symposium on Flexible Automation, 1996, 1: 307–313
[21]
Vaughan J, Yano A, Singhose W. Comparison of robust input shapers. Journal of Sound and Vibration, 2008, 315(4–5): 797–815
CrossRef Google scholar
[22]
Gallina P, Trevisani A. Delayed reference control of a two-mass elastic system. Journal of Vibration and Control, 2004, 10(1): 135–159
CrossRef Google scholar
[23]
Boschetti G, Richiedei D, Trevisani A. Delayed reference control for multi-degree-of-freedom elastic systems: Theory and experimentation. Control Engineering Practice, 2011, 19(9): 1044–1055
CrossRef Google scholar
[24]
Boschetti G, Caracciolo R, Richiedei D, Moving the suspended load of an overhead crane along a pre-specified path: A non-timebased approach. Robotics and Computer-integrated Manufacturing, 2014, 30(3): 256–264
CrossRef Google scholar
[25]
Gasparetto A, Vidoni R, Zanotto V. DFORCE: Delayed force reference control for master-slave robotic systems. Mechatronics, 2009, 19(5): 639–646
CrossRef Google scholar
[26]
Boscariol P, Gasparetto A, Vidoni R, A delayed force-reflecting haptic controller for master-slave neurosurgical robots. Advanced Robotics, 2015, 29(2): 127–138
CrossRef Google scholar
[27]
Belanger P R, Dobrovolny P, Helmy A, Estimation of angular velocity and acceleration from shaft-encoder measurements. International Journal of Robotics Research, 1998, 17(11): 1225–1233
CrossRef Google scholar
[28]
Kovudhikulrungsri L, Koseki T. Precise speed estimation from a low-resolution encoder by dual-sampling-rate observer. IEEE/ASME Transactions on Mechatronics, 2006, 11(6): 661–670
CrossRef Google scholar
[29]
Siciliano B, Sciavicco L, Villani L, Robotics: Modelling, Planning and Control. Springer, 2009
[30]
Krstic K, Kokotovic P V, Kanellakopoulos I. Nonlinear and Adaptive Control Design. Hoboken: John Wiley & Sons, Inc., 1995
[31]
Ioannou P A, Sun J. Robust Adaptive Control. New York: Courier Dover Publications, 2012
[32]
Boscariol P, Gasparetto A. Model-based trajectory planning for flexible-link mechanisms with bounded jerk. Robotics and Computer-integrated Manufacturing, 2013, 29(4): 90–99
CrossRef Google scholar
[33]
Barre P J, Bearee R, Borne P, Influence of a jerk controlled movement law on the vibratory behaviour of high-dynamics systems. Journal of Intelligent and Robotic Systems, 2005, 42(3): 275–293
CrossRef Google scholar
[34]
Gasparetto A, Boscariol P, Lanzutti A, Path planning and trajectory planning algorithms: A general overview. In: Carbone G, Gomez-Bravo F, eds. Motion and Operation Planning of Robotic Systems. Berlin: Springer, 2015, 3–27
[35]
Boscariol P, Gasparetto A, Vidoni R. Planning continuous-jerk trajectories for industrial manipulators. In: Proceedings of ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. Nantes: American Society of Mechanical Engineers, 2012, 127–136

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