控制理论(社会学)
弹道
计算机科学
跟踪(教育)
梯度下降
李雅普诺夫函数
控制系统
功能(生物学)
控制器(灌溉)
控制(管理)
工程类
非线性系统
人工智能
人工神经网络
量子力学
物理
电气工程
生物
进化生物学
天文
教育学
心理学
农学
作者
Manavendra Desai,Azad Ghaffari
出处
期刊:IEEE Transactions on Robotics
[Institute of Electrical and Electronics Engineers]
日期:2023-06-01
卷期号:39 (3): 2078-2092
标识
DOI:10.1109/tro.2022.3233346
摘要
Control Lyapunov function (CLF) and control barrier function (CBF) based quadratic programs (QPs) may create undesirable local equilibria in control systems. One recent solution utilizes a rotating nonradial CLF to avoid such equilibria in regulation applications. For trajectory tracking applications, a nominal feedback tracking control can be incorporated into the QP cost function to improve the tracking performance of the CLF–CBF–QP. However, the direction of the steepest descent curve of the CLF can differ from that of the nominal feedback control, which may compromise the tracking performance. Moreover, the design of a CLF is system-specific and generally not easy to realize. This article proposes a tracking–CBF–QP formulation, where a nominal tracking control is incorporated in the cost function of a CBF-based QP. If the nominal control conflicts with the CBF condition, undesirable local equilibria may be induced in the closed-loop system. This work theoretically investigates the occurrence of such undesirable local equilibria and provides an auxiliary control approach to prevent the system from falling into such equilibria. The auxiliary control is activated only when a conflict is projected between the nominal control and the CBF constraint, allowing the nominal control to guide the system otherwise. The proposed tracking–CBF–QP is utilized to design a novel leader–follower algorithm, and its effectiveness is verified experimentally.
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