A study of CMAC neural network generalized predictive control for generating unit

Author

Tao Sun ; Hujun Ling ; Licong Yuan

Author_Institution

Inner Mongolia Polytech. Univ., Hohhot, China

fYear

2013

fDate

9-11 June 2013

Firstpage

329

Lastpage

332

Abstract

Large thermal power unit is complex, nonlinear, big lag system. Using the traditional control method is difficult to get the best running effect. And in neural network modeling based on multivariable generalized predictive control strategy, has wide range, strong robustness etc, and can effectively make up for the deficiency. Based on the Cerebellar Model Articulation Controller neural network modeling, after the online rolling optimization and feedback correction, realize the predictive control. The simulation results show its validity.

Keywords

cerebellar model arithmetic computers; feedback; multivariable control systems; neurocontrollers; optimisation; power generation control; predictive control; CMAC neural network; big lag system; cerebellar model articulation controller; feedback correction; generating unit; multivariable generalized predictive control; online rolling optimization; thermal power unit; Adaptation models; Load modeling; Neural networks; Prediction algorithms; Predictive control; Predictive models; Robustness; CMAC neural network; Generalized predictive control; Generating unit;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-6248-1

Type

conf

DOI

10.1109/ICICIP.2013.6568092

Filename

6568092