The control of input-constrained nonlinear processes using numerical generalized predictive control methods

Author

Geng, Guang ; Geary, G.M.

Author_Institution

Regional Centre for Electron. Technol., Durham Univ., UK

Volume

45

Issue

3

fYear

1998

fDate

6/1/1998 12:00:00 AM

Firstpage

496

Lastpage

501

Abstract

A generalized predictive control algorithm based on numerical methods has been developed to cope with some of the practical control problems, such as input constraints, rate limits, and nonlinearities of industrial processes. Using numerical methods, different cost functions can be minimized to achieve the desired control performance without any significant change to the control algorithm. The results from a system used for an air-handling plant are given, in order to demonstrate the potential of this algorithm

Keywords

adaptive control; identification; nonlinear control systems; predictive control; adaptive control; air-handling plant; cost functions; industrial processes; input constraints; input-constrained nonlinear processes; nonlinear control; nonlinearities; numerical generalized predictive control methods; rate limits; system identification; Control systems; Cost function; Electrical equipment industry; Industrial control; PD control; Pi control; Predictive control; Process control; Proportional control; Three-term control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.679008

Filename

679008