{"title":"Smooth trajectory generation for industrial machines and robots based on high-order S-curve profiles","authors":"","doi":"10.1016/j.mechmachtheory.2024.105747","DOIUrl":null,"url":null,"abstract":"<div><p>The generation of optimal reference trajectories poses a challenging problem for industrial machines due to the trade-off between execution speed and vibration amplitude. This paper presents a novel method for systematically planning smooth and robust S-curve trajectories of arbitrary order adapted to vibratory behaviour for high-speed operations. In particular, the minimum time trajectory featuring good continuity under kinematic bounds is designed utilizing an improved procedure based on the existence prediction of trajectory segments. A complete analytical solution for trajectories of orders up to five is then derived. Moreover, through an analysis of the dynamic response characteristics, a parameter tuning strategy based on modal properties is established, enabling further shaping of the acceleration profiles to remove the energy content around the resonances with lower sensitivity to modelling errors. Due to the embedded filtering effect, the optimized trajectories combine specific vibration cancellation with high-frequency attenuation while providing flexibility to balance competing objectives. Comparative experiments conducted on a robot transferring flexible beams demonstrate the effectiveness and robustness of the proposed methodology in reducing residual vibration and settling time under system uncertainties.</p></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X24001745","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The generation of optimal reference trajectories poses a challenging problem for industrial machines due to the trade-off between execution speed and vibration amplitude. This paper presents a novel method for systematically planning smooth and robust S-curve trajectories of arbitrary order adapted to vibratory behaviour for high-speed operations. In particular, the minimum time trajectory featuring good continuity under kinematic bounds is designed utilizing an improved procedure based on the existence prediction of trajectory segments. A complete analytical solution for trajectories of orders up to five is then derived. Moreover, through an analysis of the dynamic response characteristics, a parameter tuning strategy based on modal properties is established, enabling further shaping of the acceleration profiles to remove the energy content around the resonances with lower sensitivity to modelling errors. Due to the embedded filtering effect, the optimized trajectories combine specific vibration cancellation with high-frequency attenuation while providing flexibility to balance competing objectives. Comparative experiments conducted on a robot transferring flexible beams demonstrate the effectiveness and robustness of the proposed methodology in reducing residual vibration and settling time under system uncertainties.
由于需要在执行速度和振动幅度之间进行权衡,因此生成最佳参考轨迹对工业机器来说是一个具有挑战性的问题。本文提出了一种新方法,用于系统规划适合高速运行振动行为的任意阶平滑、稳健的 S 曲线轨迹。特别是,利用基于轨迹段存在性预测的改进程序,设计了在运动学约束下具有良好连续性的最短时间轨迹。随后,得出了五阶以下轨迹的完整解析解。此外,通过对动态响应特性的分析,建立了基于模态特性的参数调整策略,从而能够进一步塑造加速度曲线,以消除共振周围的能量含量,降低对建模误差的敏感性。由于嵌入式滤波效果,优化轨迹结合了特定振动消除和高频衰减,同时提供了平衡竞争目标的灵活性。在传送柔性梁的机器人上进行的对比实验证明,所提出的方法在系统不确定情况下减少残余振动和沉降时间方面具有有效性和稳健性。
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry