Predictive Control Algorithm in the Application of Computer Control

DOI

10.2991/iccia.2012.390How to use a DOI?

Keywords

predictive control algorithm, computer control, application

Abstract

According to the error between the model predictive output and the future expected output, ILPC carries out an iterative learning and amending process on the current and the future control input vector, namely performs “forecast, iterative amendment, forecast again, iterative amendment again” repeatedly in the iterative domain. This paper gives a fast high-precision temperature control system’s structure, characteristics and realization method. CARI model and the improved generalized predictive control method are used to improve the control precision of the system, and shorten the response time. The quick high precision temperature control system’s structure and realization method are given, and according to the requirements of the task, the existing predictive control algorithm has been improved. Through the experiment, its temperature predictive control system’s design scheme and realization method is proved to be reasonable and feasible. It can meet the demands for the expected temperature control.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Liu
AU  - Yuchi Zhao
PY  - 2014/05
DA  - 2014/05
TI  - Predictive Control Algorithm in the Application of Computer Control
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1569
EP  - 1572
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.390
DO  - 10.2991/iccia.2012.390
ID  - Liu2014/05
ER  -