Residual Vibration Reduction in Flexible Systems Based on Trapezoidal Velocity Profiles
Source abstract
Abstract
Industrial parts are increasingly being designed to be more lightweight in modern manufacturing for energy saving and material cost reduction. However, the high-speed motion of flexible systems tends to excite severe residual vibrations that result in positioning accuracy degradation and loss of productivity. This study proposes a closed-form trajectory optimization method for vibration suppression based on trapezoidal velocity profiles, which are most widely used in industrial robots and machines. First, the formulation and minimum time solution under actuator limits of the motion profile are defined. Then, the relationship between the trajectory parameters and the vibration response is investigated. It is shown that residual vibration can be eliminated by properly tuning the acceleration/deceleration switching times according to the natural frequency. Based on the derived vibration suppression conditions, a tuning procedure for time parameters compliant with actuator limits is established to generate fast and precise movement. A main advantage of the proposed method is easy implementation for general machines without requiring extra computational resources or modification to the control system. The effectiveness and practicality of the proposed approach are verified through experiments conducted on a robot. The experimental results show that the optimized trajectory achieves superior residual vibration reduction performance.
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Research context
OpenAlex topics: Dynamics and Control of Mechanical Systems · Mechanics and Biomechanics Studies · Advanced machining processes and optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Computer Science, Liaocheng University, Liaocheng 252059, China
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Funding
National Natural Science Foundation of China · China Postdoctoral Science Foundation
References (43)
Show source-provided references
1. Robotic Process Automation and Artificial Intelligence in Industry 4.0—A Literature Review10.1016/j.procs.2021.01.104 ↗
2. Arents, J., and Greitans, M. (2022). Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing. Appl. Sci., 12.10.3390/app12020937 ↗
3. Planning Trigonometric Frequency Central Pattern Generator Trajectory for Cyclic Tasks of Robot Manipulators10.1177/0954406218806010 ↗
4. Vibration Suppression of Collaborative Robot Based on Modified Trajectory Planning10.1108/IR-01-2022-0017 ↗
5. Borys, S., Kaczmarek, W., Laskowski, D., and Polak, R. (2022). Experimental Study of the Vibration of the Spot Welding Gun at a Robotic Station. Appl. Sci., 12.10.3390/app122312209 ↗
6. Determination of Modes of Vibration for Accurate Modelling of the Flexibility Effects on Dynamics of a Two Link Flexible Manipulator10.1016/j.ijnonlinmec.2022.103943 ↗
7. Linearization of Dynamic Equations for Vibration and Modal Analysis of Flexible Joint Manipulators10.1016/j.mechmachtheory.2021.104516 ↗
8. Vibration Reduction of a Flexible Robot Link Using a Frictional Damper10.1177/1077546320936092 ↗
9. Research on Intelligent Vibration Suppression Control of High-Speed Lightweight Delta Robot10.1177/10775463211024888 ↗
10. Preshaping Input Trajectories of Industrial Robots for Vibration Suppression10.1016/j.rcim.2018.05.009 ↗
11. Data Driven Vibration Control: A Review10.1109/JAS.2024.124431 ↗
12. Smooth Point-to-Point Trajectory Planning for Robot Manipulators by Using Radial Basis Functions10.1017/S0263574718001169 ↗
13. Fang, Y., Zhu, G.N., Zhao, Y., and Gu, C. (2023). Design Procedure for Motion Profiles with Sinusoidal Jerk for Vibration Reduction. Appl. Sci., 13.10.3390/app132413320 ↗
14. Command Shaping Techniques for Vibration Control of a Flexible Robot Manipulator10.1016/S0957-4158(03)00013-8 ↗
15. Liu, S., Wu, C., Liang, L., Zhao, B., and Sun, R. (2024). Research on Vibration Suppression Methods for Industrial Robot Time-Lag Filtering. Machines, 12.10.3390/machines12040250 ↗
16. Siciliano, B., Sciavicco, L., Villani, L., and Oriolo, G. (2010). Robotics: Modelling, Planning and Control, Springer Science & Business Media.10.1007/978-1-84628-642-1 ↗
17. Planning of Manipulator Motion Trajectory with Higher-Degree Polynomials Use10.1016/j.mechmachtheory.2008.11.003 ↗
18. Vibration Reduction of Delta Robot Based on Trajectory Planning10.1016/j.mechmachtheory.2020.104004 ↗
19. Boryga, M., Kołodziej, P., and Gołacki, K. (2022). The Use of Asymmetric Polynomial Profiles for Planning a Smooth Trajectory. Appl. Sci., 12.10.3390/app122312284 ↗
20. Trajectory Planning for a 6-Axis Robotic Arm with Particle Swarm Optimization Algorithm10.1016/j.engappai.2023.106099 ↗
21. Trajectory Planning for Residual Vibration Suppression of a Two-Link Rigid-Flexible Manipulator Considering Large Deformation10.1016/j.mechmachtheory.2009.01.009 ↗
22. Trajectory Planning of a Spatial Flexible Manipulator for Vibration Suppression10.1016/j.robot.2019.103316 ↗
23. On Algorithms for Planning S-Curve Motion Profiles10.5772/5652 ↗
24. Wu, N., Jia, D., Li, Z., and He, Z. (2024). Trajectory Planning of Robotic Arm Based on Particle Swarm Optimization Algorithm. Appl. Sci., 14.10.3390/app14188234 ↗
25. Smooth Trajectory Generation for Industrial Machines and Robots Based on High-Order S-Curve Profiles10.1016/j.mechmachtheory.2024.105747 ↗
26. Kudara, K., Takahashi, H., Sasai, S., Sakurai, H., Okubo, M., Nakayama, H., Maedo, T., and Uchiyama, N. (2024, January 25–28). Time-Optimal Motion Generation and Load-Sway Suppression for Rotary Cranes with a Two-Stage S-Curve Trajectory Based on Skilled Operation Analysis. Proceedings of the 2024 European Control Conference (ECC), Stockholm, Sweden.10.23919/ECC64448.2024.10591141 ↗
27. Optimal Trajectory Generation Method to Find a Smooth Robot Joint Trajectory Based on Multiquadric Radial Basis Functions10.1007/s00170-022-08696-1 ↗
28. A Novel Methodology for the Selection of the Optimal Velocity Profile for Planned Point-to-Point Trajectories in 1-DoF Manipulators10.1007/s00170-024-14141-2 ↗
29. Fang, Y., Hu, J., Liu, W., Chen, B., Qi, J., and Ye, X. (2016, January 20–22). A CPG-Based Online Trajectory Planning Method for Industrial Manipulators. Proceedings of the 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), Tokyo, Japan.10.1109/ACIRS.2016.7556185 ↗
30. Bruzzone, L., and Stretti, D. (2023). Application of Elliptic Jerk Motion Profile to Cartesian Space Position Control of a Serial Robot. Appl. Sci., 13.10.3390/app13095601 ↗
31. Novel Gaussian Acceleration Profile for Smooth Jerk-Bounded Trajectories10.1109/ACCESS.2022.3222406 ↗
32. Boscariol, P., Richiedei, D., and Trevisani, A. (2024). Direct Solutions for Robust Vibration Suppression through Motion Design. JVC/J. Vib. Control.10.1177/10775463241259296 ↗
33. Hägele, M., Nilsson, K., Pires, J.N., and Bischoff, R. (2016). Industrial Robotics. Springer Handbooks, Springer.10.1007/978-3-319-32552-1_54 ↗
34. Bilancia, P., Schmidt, J., Raffaeli, R., Peruzzini, M., and Pellicciari, M. (2023). An Overview of Industrial Robots Control and Programming Approaches. Appl. Sci., 13.10.3390/app13042582 ↗
35. Robotics Software: Past, Present, and Future10.1146/annurev-control-061323-095841 ↗
36. Investigation of Vibration Control Performance with Modified Motion Planning Based on Basic Functions for Composite Robot Manipulators10.1007/s40997-023-00650-0 ↗
37. Residual Vibration Control of a Single-Link Flexible Curved Manipulator10.1016/j.simpat.2016.06.007 ↗
38. Vibration Control of a Two-Link Flexible Manipulator10.1177/1077546315607694 ↗
39. Yoon, H.J., Chung, S.Y., Kang, H.S., and Hwang, M.J. (2019). Trapezoidal Motion Profile to Suppress Residual Vibration of Flexible Object Moved by Robot. Electronics, 8.10.3390/electronics8010030 ↗
40. Uchiyama, N., Honda, Y., and Sano, S. (2014, January 4–6). Residual Vibration Suppression and Energy Saving in Industrial Machines Using a Trapezoidal Velocity Profile. Proceedings of the 2014 American Control Conference, Portland, OR, USA.10.1109/ACC.2014.6859042 ↗
41. Bolz, R.E. (2019). CRC Handbook of Tables for Applied Engineering Science, CRC Press.10.1201/9781315214092 ↗
42. Oppenheim, A.V., Willsky, A.S., and Nawab, S.H. (1997). Signals & Systems, Pearson Educación.
43. Preshaping Command Inputs to Reduce System Vibration10.1115/1.2894142 ↗