Sliding mode control with power-type barrier function for autonomous aerial refueling based on disturbance observer.

IF 6.5
Jintao Hu, Yunjie Wu, Shanwei Su
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Abstract

Abrupt disturbances, such as wind gusts, present significant challenges to precise docking control in autonomous aerial refueling (AAR). To address this, this paper proposes a disturbance-rejection sliding mode control (SMC) strategy based on power-type barrier function for a receiver aircraft with multiple control surfaces. First, an estimator-based disturbance observer is developed to enable feedforward compensation for time-varying disturbances while mitigating chattering in SMC, without requiring prior knowledge of the upper bounds of the disturbances or their derivatives. Second, a single-power barrier function-based SMC (SPBFSMC) is introduced to rapidly compensate for disturbance estimation errors under abrupt disturbances, avoid gain overestimation, and ensure that the sliding mode variables converge to a predefined neighborhood of the origin. Furthermore, a dual-power barrier function-based SMC (DPBFSMC) is developed by combining two SPBFSMC methods with powers greater than and less than one, respectively. This approach achieves a smaller final convergence region regardless of the disturbance estimation error magnitude, thereby improving tracking accuracy. Finally, the stability of the closed-loop system is proved using Lyapunov functions, and the effectiveness of the proposed control strategy is validated through simulations.

基于扰动观测器的自主空中加油功率型障碍函数滑模控制。
突发性干扰,如阵风,对自主空中加油(AAR)的精确对接控制提出了重大挑战。针对这一问题,本文提出了一种基于功率型障碍函数的多控制面接收机抗扰滑模控制策略。首先,开发了一种基于估计量的扰动观测器,以实现对时变扰动的前馈补偿,同时减轻SMC中的抖振,而不需要事先知道扰动的上界或其导数。其次,引入基于单功率势垒函数的SMC (SPBFSMC)来快速补偿突变干扰下的干扰估计误差,避免增益高估,并确保滑模变量收敛到原点的预定义邻域;在此基础上,将两种功率分别大于1和小于1的SPBFSMC方法相结合,开发了一种基于双功率势垒函数的SMC (DPBFSMC)。该方法在不考虑干扰估计误差大小的情况下实现了较小的最终收敛区域,从而提高了跟踪精度。最后,利用Lyapunov函数证明了闭环系统的稳定性,并通过仿真验证了所提控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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