A Disturbance Observer Enhanced Composite Cascade Control with Experimental Studies

被引：23

作者：

Chen, Xisong ^{[1
]}

Li, Juan ^{[1
]}

Yang, Jun ^{[1
]}

Li, Shihua ^{[1
]}

机构：

[1] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 210096, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2013年 / 11卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Composite cascade control; disturbance observer; experimental studies; model predictive control; MODEL-PREDICTIVE CONTROL; ROBUST AUTOPILOT DESIGN; VIBRATION CONTROL; SPEED CONTROL; SYSTEMS; REJECTION; MISSILES; NONLINEARITY; MANIPULATORS; MPC;

D O I：

10.1007/s12555-012-9210-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The presence of strong disturbances usually causes great performance degradation of industrial process control systems. A disturbance observer (DOB) enhanced composite cascade control consisting of model predictive control (MPC), proportional-integral-derivative (PID) control, and DOB is proposed in this paper. DOB is employed here to estimate the severe disturbances and the estimated values are applied for feed-forward compensation, forming a composite control together with MPC. To evaluate the efficiency and validity of the proposed control structure, the simulation as well as experimental studies have been carried out for a level tank process which represents a typical first-order plus dead-time (FODT) industry process. Both the simulation and experimental results show that the proposed composite control method significantly improves the disturbance attenuation property of the MPC scheme in controlling such a typical industrial process.

引用

页码：555 / 562

页数：8

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