An improved PID generalized predictive control algorithm

被引：2

作者：

Chen, Guang-Yi ^{[1
]}

Ren, Ping ^{[2
]}

Pei, Hai-Long ^{[2
]}

机构：

[1] Foshan Univ, Dept Automat, Foshan 528200, Peoples R China

[2] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年

关键词：

generalized predictive control; PID; algorithm;

D O I：

10.1109/ICMLC.2008.4620712

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

To take the advantages of both generalized predictive control (GPC) and proportion-integral-differential control (PID), it is feasible to combine them together to form up a new predictive control algorithm (PID-GPC). However, there is large online computational burden in GPC algorithm itself. And PID-GPC algorithm has also increased the computation quantity a little. The overall computational burden is so heavy that it restrains the on-line application of PID-GPC. Hence, it is imperative to improve the control algorithm to broaden its application. This paper is concerned with lightening computational burden by exploring its internal mechanism and puts forward an improved algorithm, which just needs to pick the reciprocal of a number, instead of calculating the inverse matrix. The simulation results show

引用

页码：1877 / +

页数：2

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