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Constrained Sampled-Data ARC for a Class of Cascaded Nonlinear Systems With Applications to Motor-Servo Systems
IEEE Transactions on Industrial Informatics ( IF 11.7 ) Pub Date : 4-2-2018 , DOI: 10.1109/tii.2018.2821677
Weichao Sun , Yanbin Liu , Huijun Gao

In this paper, sampled-data adaptive robust control is proposed for a class of uncertain cascaded nonlinear system with states and inputs constraints. The systematic design procedure can be divided into two steps: i) design a sampled-data adaptive robust controller for the plant to not only stabilize the closed-loop system but also track the desired command although there are a variety of uncertainties and disturbances in the system; ii) design a reference governor for the control system to avoid the states and inputs violating their limits. Finally, the proposed method is employed in Motor-servo system to demonstrate the effectiveness.

中文翻译:


一类级联非线性系统的约束采样数据 ARC 及其在电机伺服系统中的应用



本文针对一类具有状态和输入约束的不确定级联非线性系统,提出了采样数据自适应鲁棒控制。系统设计过程可分为两个步骤:i)为被控对象设计一个采样数据自适应鲁棒控制器,不仅可以稳定闭环系统,而且可以跟踪所需的命令,尽管系统中存在各种不确定性和干扰。系统; ii) 为控制系统设计一个参考调节器,以避免状态和输入违反其限制。最后,将该方法应用于电机伺服系统中,验证了该方法的有效性。
更新日期:2024-08-22
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