Sampled-data Tracking and Disturbance Compensation of Nonlinear Systems

被引：3

作者：

Zia, Saba ^{[1
]}

Qayyum, Atif ^{[1
]}

Malik, Mohammad Bilal ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Dept Elect Engn, Coll Elect & Mech Engn, Islamabad, Pakistan

来源：

2020 IEEE 17TH INTERNATIONAL CONFERENCE ON SMART COMMUNITIES: IMPROVING QUALITY OF LIFE USING ICT, IOT AND AI (IEEEHONET 2020) | 2020年

关键词：

REJECTION;

D O I：

10.1109/HONET50430.2020.9322825

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper solves the tracking problem for feedback linearizable sampled data nonlinear systems. The conversion of a continuous system into its sampled data equivalent has been discussed and the proposed control law has been derived. In classical control theory, high gain observers based feedback control has been adopted for stabilizing a nonlinear system and state estimation to track a varying reference, but it compromises the main design purpose. The proposed scheme uses augmented state estimation technique to find the additional compensation to be applied at input channel to minimize the tracking error. The results are shown through an illustrative example of an inverted pendulum system that verifies the effectiveness of the proposed scheme.

引用

页码：131 / 134

页数：4

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