Suppression of mechanical resonance in digital servo system considering oscillation frequency deviation

High-stiffness servo system is easy to cause mechanical resonance in elastic coupling servo system. Although on-line adaptive notch filter is effective in most cases, it will lead to a severer resonance when resonance frequency deviated from the natural torsional frequency. To explain this phenomenon, an improved discrete system model is proposed. This paper quantitatively analyzes the influence of damping, discretization and current loop time constant on mechanical oscillation frequency. A conclusion is drawn that the most effective notch frequency is the natural torsional frequency when resonant frequency is deviate. Simulation and experimental results verify the accuracy and effectiveness of the theoretical analysis.

[1]  Hiromu Hirai,et al.  High-precision positioning considering suppression of resonant vibration modes by strain feedback , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[2]  Xiangdong Zhou,et al.  Resonance suppression of two-mass drive systems considering compensation of anti-resonance character , 2016, 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

[3]  A. Shen,et al.  Detection and reduction of middle frequency resonance for industrial servo , 2012, 2012 IEEE International Conference on Information Science and Technology.

[4]  Cong Wang,et al.  Robot end-effector sensing with position sensitive detector and inertial sensors , 2012, 2012 IEEE International Conference on Robotics and Automation.

[5]  Shinji Wakui,et al.  Suppression of anti-resonance and resonance in pneumatic system of vibration isolator considering time delay , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[6]  Ming Yang,et al.  Mechanical resonance suppression and disturbance rejection of 2-inertia system with observer-based feedback control , 2016, 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia).

[7]  Ming Yang,et al.  Fast servo control and vibration suppression based on optical ZPETC and ZPNF , 2016, 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia).

[8]  D.-H. Lee,et al.  Mechanical vibration reduction control of two-mass permanent magnet synchronous motor using adaptive notch filter with fast Fourier transform analysis , 2012 .

[9]  Slobodan N. Vukosavic,et al.  Suppression of torsional oscillations in a high-performance speed servo drive , 1998, IEEE Trans. Ind. Electron..

[10]  Songlin Chen,et al.  Online detection and suppression of mechanical resonance for servo system , 2012, 2012 Third International Conference on Intelligent Control and Information Processing.

[11]  Nils Hoffmann,et al.  PI Control, PI-Based State Space Control, and Model-Based Predictive Control for Drive Systems With Elastically Coupled Loads—A Comparative Study , 2011, IEEE Transactions on Industrial Electronics.

[12]  Cong Wang,et al.  Robust two-degree-of-freedom iterative learning control for flexibility compensation of industrial robot manipulators , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[13]  Zhiqiang Gao,et al.  Cures for low-frequency mechanical resonance in industrial servo systems , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[14]  Ryozo Nagamune,et al.  Tracking Control of Flexible Ball Screw Drives With Runout Effect and Mass Variation , 2012, IEEE Transactions on Industrial Electronics.

[15]  Dominik Luczak.  Frequency analysis of mechanical resonance in direct drive , 2012, 2012 12th IEEE International Workshop on Advanced Motion Control (AMC).

[16]  Sheng-Ming Yang,et al.  The Detection of Resonance Frequency in Motion Control Systems , 2014 .

[17]  Robert D. Lorenz,et al.  Resonant load control methods for industrial servo drives , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[18]  Teresa Orlowska-Kowalska,et al.  Application of the Kalman Filters to the High-Performance Drive System With Elastic Coupling , 2012, IEEE Transactions on Industrial Electronics.

[19]  Teresa Orlowska-Kowalska,et al.  Vibration Suppression in a Two-Mass Drive System Using PI Speed Controller and Additional Feedbacks—Comparative Study , 2007, IEEE Transactions on Industrial Electronics.