稳健性(进化)
控制理论(社会学)
非线性系统
李雅普诺夫函数
自适应控制
数学
有界函数
线性化
计算机科学
数学分析
人工智能
物理
生物化学
化学
控制(管理)
量子力学
基因
标识
DOI:10.1016/j.ejcon.2024.100963
摘要
In this letter, an adaptive nonsingular terminal sliding mode (ANTSM) controller is proposed for a magnetic levitation system (MLS). Class K∞ function is utilized for designing the adaptive gain and based on which, the sliding variable asymptotically converges to a neighborhood around zero whose size can be tuned to be arbitrarily small by tuning the function's parameters. Then, the introduced nonsingular terminal sliding function guarantees a resultant fast convergence of the system. Moreover, the class K∞ function-based adaptive gain estimates the disturbance's variation without knowing its upper bound information a priori. In addition, the linearization of nonlinear system model is not required any longer and the controller is constructed based on the nonlinear one that will not sacrifice the control robustness. Lyapunov analysis verifies that under the proposed control, the tracking error of the ball's position is asymptotically bounded in an arbitrarily-small region. Finally, simulations are carried out to demonstrate the superiorities of the proposed method with higher precision and stronger robustness against the imposed disturbance force compared to conventional methods.
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