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Constrained Sampled-Data ARC for a Class of Cascaded Nonlinear Systems With Applications to Motor-Servo Systems

机译: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

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摘要

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.
机译:针对一类具有状态和输入约束的不确定级联非线性系统,提出了一种采样数据自适应鲁棒控制方法。系统设计过程可以分为两个步骤:i)为工厂设计一个采样数据自适应鲁棒控制器,以使闭环系统稳定并跟踪所需的命令,尽管在此过程中存在各种不确定性和干扰。系统; ii)为控制系统设计参考调速器,以避免状态和输入违反其限制。最后,将所提出的方法应用于电机伺服系统以证明其有效性。

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