稳健性(进化)
控制理论(社会学)
跟踪(教育)
滑模控制
运动控制
自适应控制
计算机科学
Lyapunov稳定性
鲁棒控制
有界函数
趋同(经济学)
弹道
控制系统
控制(管理)
工程类
数学
机器人
物理
人工智能
非线性系统
数学分析
天文
心理学
化学
经济
教育学
生物化学
电气工程
基因
经济增长
量子力学
作者
Rui Xu,Dapeng Tian,Zhongshi Wang
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-02-06
卷期号:71 (10): 12824-12834
被引量:3
标识
DOI:10.1109/tie.2024.3357866
摘要
This study developed a local fixed-time sliding mode control (FTSMC) method based on a novel adaptive disturbance observer (NADOB) dedicated to motion tracking control for piezo-driven microscanning systems with unmodeled uncertainties and external disturbances. First, the NADOB was developed to precisely approximate and compensate for the lumped disturbance, which includes unmodeled uncertainties and external disturbances. The adaptive law of the NADOB method can estimate the upper-bound information of the lumped disturbance, assuming that it is bounded. Its convergence was strictly proven using the Lyapunov theorem. Subsequently, the local FTSMC method with an improved approach law was developed for the piezo-driven microscanning system to achieve high-precision trajectory tracking control. The stability of the tracking controller was proved using the fixed-time convergence theory. Finally, a series of comparative experiments were conducted on a piezo-driven microscanning experimental setup in the presence of a lumped disturbance, illustrating the robustness of the local FTSMC method with the NADOB. Comparative experimental results revealed that the proposed fixed-time tracking control scheme exhibits stronger robustness and higher tracking accuracy compared with existing sliding mode control methods.
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