Generalized Predictive Control of Nonlinear Systems Based on Genetic Algorithm
- 10.2991/mems.2012.51How to use a DOI?
- nonlinear system; generalized predictive control; genetic algorithm
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.
- © 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/).
Cite this article
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 -