Nonsingular Fast Terminal Sliding Mode Control of a Parallel Robot With Workspace Optimization and Trajectory Planning

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-11-27 DOI:10.1002/rnc.7748
Ahlem Saidi, Neila Mezghani Ben Romdhane, Mohamed Boukattaya, Tarak Damak
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Abstract

This paper presents a nonsingular fast terminal sliding mode control for the PAR 4 parallel robot, focusing on workspace optimization and trajectory planning. First, an analytical inverse kinematic model is derived to calculate the workspace, which is then extended using parameter optimization techniques. Next, a trajectory planning method based on the S-curve approach is proposed to generate the desired path, with special attention to reducing the cycle time of pick-and-place operations using sequential quadratic programming method. Finally, a nonsingular fast terminal sliding mode control strategy is suggested to enable the robot to accurately track the generated trajectory. The stability of the closed-loop system is analyzed using Lyapunov theory, and the effectiveness of the controller is validated through simulation results.

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基于工作空间优化和轨迹规划的并联机器人非奇异快速终端滑模控制
提出了par4并联机器人的非奇异快速末端滑模控制方法,重点研究了工作空间优化和轨迹规划。首先,导出了解析逆运动学模型来计算工作空间,然后利用参数优化技术对其进行扩展。其次,提出了一种基于s曲线方法的轨迹规划方法来生成期望路径,特别注意使用顺序二次规划方法减少取放操作的周期时间。最后,提出了一种非奇异快速终端滑模控制策略,使机器人能够准确跟踪生成的轨迹。利用李雅普诺夫理论分析了闭环系统的稳定性,并通过仿真结果验证了控制器的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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