Disturbance Observer-Parameterized Control Barrier Function With Adaptive Safety Bounds

IF 2 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2025-01-27 DOI:10.1109/LCSYS.2025.3535379
Ziqi Yang;Lihua Xie
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Abstract

This letter presents a nonlinear disturbance observer-parameterized control barrier function (DOp-CBF) designed for a robust safety control system under external disturbances. This framework emphasizes that the safety bounds are relevant to the disturbances, acknowledging the critical impact of disturbances on system safety. This letter incorporates a disturbance observer (DO) as an adaptive mechanism of the safety bounds design. Instead of considering the worst-case scenario, the safety bounds are dynamically adjusted using DO. The forward invariance of the proposed method regardless of the observer error is ensured, and the corresponding optimal control formulation is presented. The performance of the proposed method is demonstrated through simulations of a cruise control problem under varying road grades. The influence of road grade on the safe distance between vehicles is analyzed and managed using a DO. The results demonstrate the advantages of this approach in maintaining safety and improving system performance under disturbances.
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具有自适应安全界的扰动观测器参数化控制屏障函数
本文提出了一种非线性扰动观测器参数化控制屏障函数(DOp-CBF),用于外部扰动下的鲁棒安全控制系统。该框架强调安全边界与干扰相关,承认干扰对系统安全的关键影响。本文采用扰动观测器(DO)作为安全界设计的自适应机制。不考虑最坏情况,而是使用DO动态调整安全界限。保证了该方法不受观测器误差影响的前向不变性,并给出了相应的最优控制公式。通过对不同路面坡度下的巡航控制问题进行仿真,验证了该方法的有效性。利用DO分析和管理道路坡度对车辆安全距离的影响。结果表明,该方法在保持系统安全性和提高系统在干扰下的性能方面具有优势。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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