具有非对称全状态约束条件的液压挖掘机系统的低复杂度跟踪控制

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-24 DOI:10.1016/j.jfranklin.2024.107345
Changchun Hua, Jiafeng Zhou, Bo Zhang, Yu Zhang, Jian Zhang
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引用次数: 0

摘要

这项研究致力于解决全状态约束下的液压挖掘机系统控制问题。所提出的控制方法的突出之处在于,它不仅能适应全状态约束,而且还能事先明确指定沉降时间和跟踪精度,而不受液压挖掘机任意初始姿态的影响。此外,还引入了新的非线性状态相关函数,使系统能够处理更大范围的初始条件。所提出的控制器仅依赖于非线性变换后的状态变量,在结构和表达上都具有较低的复杂性。模拟和实验证明了所提方法的有效性。
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Low-complexity tracking control of hydraulic excavator systems with asymmetric full-state constraints
This work is devoted to solving the control problem of hydraulic excavator systems under full-state constraints. The standout aspect of the proposed control approach lies in the fact that not only full-state constraints can be accommodated, but also the settling time and tracking precision can be explicitly specified in advance, irrespective of the arbitrary initial poses of the hydraulic excavator. Additionally, a novel nonlinear state-dependent function is introduced, enabling the system to handle a larger range of initial conditions. The proposed controller, which solely relies on the state variables after nonlinear transformation, has lower complexity in both structure and expression. The effectiveness of the proposed approach is demonstrated through simulations and experiments.
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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