Neural Direct Adaptive Active Disturbance Rejection Controller for Electro-hydraulic Servo System

被引：12

作者：

Zhang, De-Yi ^{[1
,2
]}

Liu, Song-Yong ^{[1
]}

Chen, Yi ^{[1
]}

Gu, Cong-Cong ^{[1
]}

机构：

[1] China Univ Min & Technol, Sch Mech Engn, Xuzhou 221116, Jiangsu, Peoples R China

[2] Suzhou Univ Sci & Technol, Sch Mech Engn, Suzhou 215009, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2022年 / 20卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Electro-hydraulic servo system; linear extended state observer; neural direct adaptive controller; reduced-order model; SLIDING MODE CONTROL; TRACKING CONTROL; POSITION CONTROL; NETWORK CONTROL; MOTION CONTROL; NN CONTROL; ROBUST; OBSERVER; COMPENSATION; MACHINERY;

D O I：

10.1007/s12555-020-0954-z

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper develops a neural direct adaptive active disturbance rejection controller for the electro-hydraulic servo system (EHSS). EHSS in the construction mining machinery is a high-order nonlinear system with uncertainties and heavy external disturbance, which challenges the controller. The proposed control scheme, integrating neural direct adaptive controller and linear extended state observer (LESO), is designed based EHSS's reduced-order model. The stronger robustness and the improved tracking performance can be expected by using LESO to compensate for remaining uncertainties. In addition, the rationality of reduced-order model and the stability of the proposed controller are proved. Comparative simulation results show that the controller has an excellent position tracking performance.

引用

页码：2402 / 2412

页数：11

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