Generalized Predictive Control of Nonlinear Systems Based on Genetic Algorithm

DOI

10.2991/mems.2012.51How to use a DOI?

Keywords

nonlinear system; generalized predictive control; genetic algorithm

Abstract

Aiming the traditional predictive function control can’t control the nonlinear and changeful object effectively, the disadvantages of obtaining control in approximate ways are analyzed, and the optimality criterion based on genetic algorithm is proposed in this paper. During the simulation of a heat exchanger, genetic algorithm and the two approximate ways are used to get control respectively, and then the control effects of the three methods are compared. Simulation results show that predictive controller solving based on the genetic algorithm can enable the system output to better track the reference input and the change of controlled quantity to be more stable.

Copyright

© 2012, 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  - Shao Zhong-liang
PY  - 2012/12
DA  - 2012/12
TI  - Generalized Predictive Control of Nonlinear Systems Based on Genetic Algorithm
BT  - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
PB  - Atlantis Press
SP  - 187
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/mems.2012.51
DO  - 10.2991/mems.2012.51
ID  - Zhong-liang2012/12
ER  -