Predictive Control Algorithm in the Application of Computer Control
- 10.2991/iccia.2012.390How to use a DOI?
- predictive control algorithm, computer control, application
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.
- © 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/).
Cite this article
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 -