控制理论(社会学)
反推
国家观察员
观察员(物理)
参数统计
有界函数
控制器(灌溉)
计算机科学
跟踪(教育)
姿态控制
滑模控制
非线性系统
国家(计算机科学)
控制(管理)
控制工程
数学
工程类
自适应控制
人工智能
物理
算法
心理学
统计
数学分析
生物
量子力学
教育学
农学
作者
Junyu Chen,Yue Long,Tieshan Li,Tianpeng Huang
标识
DOI:10.1177/09596518221135680
摘要
Considering the problems of unknown external disturbances and parametric uncertainties in attitude tracking of a quadrotor, a backstepping sliding mode control method based on the time-varying gain extended state observer is proposed in this article. First, the mathematical model of the attitude system of the quadrotor is introduced. Second, a time-varying gain extended state observer is proposed to observe the unmeasurable states, total disturbance, and reduce the “peaking value” phenomenon, which often occurs in traditional linear extended state observers. It is proved that the observation errors are bounded. Third, a novel controller synthesized by backstepping sliding mode control method and the time-varying gain extended state observer is proposed for the attitude system of the quadrotor. Moreover, the designed controller can ensure that all signals of the closed-loop system are bounded. Finally, the effectiveness and superiority of the proposed control method are verified by simulation.
科研通智能强力驱动
Strongly Powered by AbleSci AI