Title :
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
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
DOI :
10.1109/ICICIP.2013.6568092
