反推
欠驱动
自适应控制
人工神经网络
计算机科学
非线性系统
控制理论(社会学)
控制工程
方案(数学)
离散时间和连续时间
跟踪(教育)
控制(管理)
人工智能
工程类
数学
统计
量子力学
物理
数学分析
教育学
心理学
作者
Xiuyu Zhang,Yue Wang,Guoqiang Zhu,Xinkai Chen,Chun‐Yi Su
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2021-10-01
卷期号:28 (3): 1201-1212
被引量:19
标识
DOI:10.1109/tmech.2021.3112470
摘要
For the control of a quadrotor unmanned aerial vehicle, the strong nonlinearities, coupling, and underactuated problem in both positioning and attitude systems of the quadrotor are major challenging issues to be solved. In this article, a discrete-time adaptive dynamic surface control (DSC) scheme for the quadrotor is proposed to obtain a satisfactory tracking performance. The nonlinearities and couplings are overcome by employing the designed robust adaptive DSC nonlinear control method. The underactuated problem is overcome by solving the designed adaptive neural control equations. Also, different from the continuous-time control scheme, the discrete-time control is more suitable for the computer and network control in practicable cases. Furthermore, the digital first-order low-pass filters are constructed to predict the future virtual control signal in the backstepping method, leading to the avoidance of the model transformation problem in the discrete-time backstepping method.
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