反推
控制理论(社会学)
参数统计
李雅普诺夫函数
严格反馈表
自适应控制
控制工程
控制器(灌溉)
观察员(物理)
弹道
计算机科学
工程类
数学
控制(管理)
非线性系统
人工智能
物理
生物
统计
量子力学
农学
天文
作者
Yoo-Seung Choi,Il-Ryeong Lee,Jun-Young An,Moon-Gyeang Cho,Chang-Joo Kim
摘要
This paper investigates an adaptive backstepping control based on the immersion-and-invariance (I&I) method for a rotorcraft’s trajectory-tracking control problem. To effectively cope with both parametric uncertainties and external disturbances affecting all forces and moments of a rotorcraft, the I&I-based disturbance observer is designed and combined with an adaptive backstepping controller. During the design process, a simple form of the observer structure is suggested, and the performance of the observer is analyzed using a candidate Lyapunov function. Then, the closed-loop stability of the adaptive controller is analyzed for both time-invariant and time-varying disturbances. Additionally, the tuning function-based adaptive backstepping controller is designed and used to investigate the outperformance achievable with the proposed method. Finally, comparative simulation results using a high-fidelity rotorcraft math model is provided to show the effectiveness of the proposed strategy.
科研通智能强力驱动
Strongly Powered by AbleSci AI