当前位置:
X-MOL 学术
›
Automatica
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Deadzone-Adapted Disturbance Suppression Control for strict-feedback systems
Automatica ( IF 4.8 ) Pub Date : 2024-10-16 , DOI: 10.1016/j.automatica.2024.111986 Iasson Karafyllis, Miroslav Krstic, Alexandros Aslanidis
Automatica ( IF 4.8 ) Pub Date : 2024-10-16 , DOI: 10.1016/j.automatica.2024.111986 Iasson Karafyllis, Miroslav Krstic, Alexandros Aslanidis
In this paper we extend our recently proposed Deadzone-Adapted Disturbance Suppression (DADS) Control approach from systems with matched uncertainties to general systems in parametric strict feedback form. The DADS approach prevents gain and state drift regardless of the size of the disturbance and unknown parameter and achieves an attenuation of the plant output to an assignable small level, despite the presence of persistent disturbances and unknown parameters of arbitrary and unknown bounds. The controller is designed by means of a step-by-step backstepping procedure which can be applied in an algorithmic fashion. Examples are provided which illustrate the efficiency of the DADS controller compared to existing adaptive control schemes.
中文翻译:
用于严格反馈系统的死区适应干扰抑制控制
在本文中,我们将最近提出的死区适应干扰抑制 (DADS) 控制方法从具有匹配不确定性的系统扩展到参数严格反馈形式的通用系统。DADS 方法可以防止增益和状态漂移,无论干扰的大小和未知参数如何,并且尽管存在持续的干扰和任意和未知边界的未知参数,但可以将被控对象输出衰减到可分配的小水平。控制器是通过逐步反步程序设计的,该程序可以以算法方式应用。提供了一些示例,说明了 DADS 控制器与现有自适应控制方案相比的效率。
更新日期:2024-10-16
中文翻译:
用于严格反馈系统的死区适应干扰抑制控制
在本文中,我们将最近提出的死区适应干扰抑制 (DADS) 控制方法从具有匹配不确定性的系统扩展到参数严格反馈形式的通用系统。DADS 方法可以防止增益和状态漂移,无论干扰的大小和未知参数如何,并且尽管存在持续的干扰和任意和未知边界的未知参数,但可以将被控对象输出衰减到可分配的小水平。控制器是通过逐步反步程序设计的,该程序可以以算法方式应用。提供了一些示例,说明了 DADS 控制器与现有自适应控制方案相比的效率。