Design and implementation of constrained predictive control simplified algorithm based on particle swarm optimization

DOI

10.2991/eeeis-16.2017.83How to use a DOI?

Keywords

constrained predictive control; Dynamic Matrix Control; particle swarm optimization; algorithm simplification

Abstract

In order to achieve the purpose of reducing the calculation quantity and improving the computation speed of predictive control, an aggregation algorithm was proposed to design the predictive control simplified algorithm. At the same time, consider the actuators' outputs with restrictions in industrial, the particle swarm optimization was used to design the output constraint on the basis of predictive control simplified algorithm. Finally, the algorithm was applied to boiler denitration control system by PLC in a power plant in Shaanxi Province. The practical result shows that the predictive control algorithm also can be implemented in the device with limited hardware resources and has a good control effect.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Kai-Chen Wang
AU  - Ping Ma
PY  - 2016/12
DA  - 2016/12
TI  - Design and implementation of constrained predictive control simplified algorithm based on particle swarm optimization
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 685
EP  - 690
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.83
DO  - 10.2991/eeeis-16.2017.83
ID  - Wang2016/12
ER  -