Predefined-Time Asymptotic Tracking Control for Hypersonic Flight Vehicles With Input Quantization and Faults

作     者：Li, Yajun Liang, Shuai Xu, Bin Hou, Mingshan 

作者机构：Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS》 (IEEE航空航天与电子系统汇刊)

年 卷 期：2021年第57卷第5期

页      面：2826-2837页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：National Natural Science Foundation of China [61933010, 62003271] Aeronautical Science Foundation of China [20180753007, 201905053005] Natural Science Basic Research Plan in Shaanxi Province [2019JZ-08] 

主　　题：Quantization (signal) Adaptive control Aerodynamics Vehicle dynamics Uncertainty Lyapunov methods Control design Asymptotic tracking error transformation fuzzy adaptive control hypersonic flight vehicles (HFVs) modified Lyapunov functions (MLFs) predefined-time control 

摘      要：This article presents a fuzzy adaptive tracking control algorithm for hypersonic flight vehicles with input quantization and faults. Different from the usual stabilization results, we present a method to achieve asymptotic tracking with predefined-time performance. An error transformation is established and a modified Lyapunov function (MLF) is constructed. The predefined-time asymptotic tracking control goal can be achieved by simply guaranteeing the boundness of the proposed MLF which is related to the transformed tracking errors. The proposed control strategy has three advantages. First, the predefined-time tracking performance can be ensured even when the initial tracking conditions are completely unknown. Second, no compensation is required for the fuzzy reconstruction errors to achieve accurate tracking control such that the control design is significantly simplified. Third, the derived controller is fault-tolerant, and since the system is controlled by quantized signals, the communication burden can be considerably reduced. Theoretical proof and numerical simulation are presented to demonstrate the effectiveness of the proposed control algorithm.