A Novel Contouring Control Method Based on Optimal Vector-Referenced Moving Frame for 3D Trajectory With Zero Curvature

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-11 DOI:10.1109/TASE.2024.3470799
Qianjun Zhang;Yongzhuo Gao;Siyuan Meng;Hui Dong;Changhai Ru;Wei Dong
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Abstract

Contouring control of 3D trajectory is critical in multi-axial machine tool, scanning stage and other precision automation systems. Currently, most contouring controllers are based on Frenet frames, thus their limited applicability to nonzero-curvature 3D trajectories rather than zero-curvature ones which exist ubiquitously in multi-axial motion systems. This paper proposes an optimal vector-referenced moving frame based contouring controller (OVRMFCC) suitable for contouring control of 3D zero-curvature trajectories. Firstly, the optimal vector-referenced moving frame (OVRMF) capable of framing arbitrary finite-length smooth 3D trajectory regardless of its curvature was proposed. Then, a contouring controller (OVRMFCC) based on OVRMF was designed, followed by derivation of its analytical form and proof of its convergence. Finally, this controller was deployed to an FPGA-based controller target with comprehensive comparison experiments on a triaxial system. Experimental results indicates that OVRMFCC reduces at least 46.6% maximum contour error, and 25.0% root-mean-square contour error compared to cross-coupled controller. Besides, OVRMFCC achieves almost the same precision on trajectories with nonzero curvature or curvature singularities compared to TCF. It still maintains high-precision contour tracking on trajectories with continuous zero-curvature segments or planned discrete trajectories with sharp curvature changes, while TCF crashes or leads to several times larger contour error. Note to Practitioners—This work is motivated by the increasing need of contouring control of 3D trajectory in precision automation systems. The mainstream 3D contouring controllers, like task coordinated frame method and model predicted contouring controller, are invalid for zero-curvature 3D trajectory which ubiquitously exists in motion system since they are based on Frenet frame which fails to be defined where curvature is zero. Although cross-coupled controller can tackle zero-curvature 3D trajectory, it proves inefficient in reducing contour error as it is commonly model-free and not specifically designed. To solve this problem, we proposed an optimal vector referenced moving frame (OVRMF) for arbitrary infinite-length smooth 3D trajectory framing and proves its existence strictly. The main advantage of OVRMF lies in its independence of curvature, thus its existence everywhere as long as the curve is $C^{1}$ continuous. And based on OVRMF a contouring controller (OVRMFCC) is designed which combines the benefit of both TCF and OVRMF. With this, OVRMFCC can track any infinite-length $C^{3}$ -continuous 3D trajectory, which fill the gap of traditional 3D contouring controller. Experimental results reveal that OVRMFCC maintains high precision regardless of trajectory curvature, which outperforms both cross-coupled controller and TCF.
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基于最优矢量参照移动框架的零曲率三维轨迹轮廓控制新方法
在多轴机床、扫描工作台和其他精密自动化系统中,三维轨迹的轮廓控制是至关重要的。目前,大多数轮廓控制器都是基于Frenet框架,因此它们对非零曲率三维轨迹的适用性有限,而零曲率轨迹在多轴运动系统中普遍存在。提出了一种适用于三维零曲率轨迹轮廓控制的最优矢量参考运动帧轮廓控制器(OVRMFCC)。首先,提出了一种最优矢量参考运动框架(OVRMF),该框架能够在不考虑曲率的情况下对任意有限长度的光滑三维轨迹进行帧化;然后,设计了一种基于OVRMF的轮廓控制器(OVRMFCC),推导了其解析形式并证明了其收敛性。最后,将该控制器部署到基于fpga的控制器目标上,并在三轴系统上进行了全面的对比实验。实验结果表明,与交叉耦合控制器相比,OVRMFCC最大轮廓误差降低46.6%,均方根轮廓误差降低25.0%。此外,OVRMFCC在非零曲率或曲率奇点轨迹上的精度与TCF几乎相同。在具有连续零曲率段的轨迹或曲率急剧变化的规划离散轨迹上,TCF仍然保持高精度的轮廓跟踪,而TCF崩溃或导致数倍的轮廓误差。从业人员注意:这项工作是由精密自动化系统中对三维轨迹轮廓控制日益增长的需求所推动的。主流的三维轮廓控制器,如任务协调框架法和模型预测轮廓控制器,由于其基于Frenet框架,在曲率为零的地方无法定义,对于运动系统中普遍存在的零曲率三维轨迹是无效的。虽然交叉耦合控制器可以处理零曲率三维轨迹,但由于它通常是无模型的,并且不是专门设计的,因此在减少轮廓误差方面效率低下。针对这一问题,提出了任意无限长光滑三维轨迹分帧的最优矢量参考运动帧(OVRMF),并严格证明了其存在性。OVRMF的主要优点在于它与曲率无关,因此只要曲线是连续的,它就存在于任何地方。在此基础上设计了一种结合TCF和OVRMF优点的轮廓控制器(OVRMFCC)。因此,OVRMFCC可以跟踪任意无限长$C^{3}$连续的3D轨迹,填补了传统3D轮廓控制器的空白。实验结果表明,无论轨迹曲率如何,OVRMFCC都能保持较高的精度,优于交叉耦合控制器和TCF。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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