Title :
Modelling of Nonlinear superheated temperature control process using neural networks
Author :
Gupta, Swastik ; Rajaji, L. ; Kalika, S.
Author_Institution :
Shri Venkateshwara Univ., Gajraula, India
Abstract :
This Paper presents a Nonlinear models for the left and right super heater tubes of the superheated steam control process of thermal power plant using neural networks. The realtime data which is obtained by measuring the process variables at frequent intervals for one day is used to train a neural network. The network was validated and tested. The models developed faithfully duplicate the superheated steam temperature control process. These models can be used for the design of controller for super heated steam temperature control process.
Keywords :
control system synthesis; controllers; heat pipes; heat transfer; learning (artificial intelligence); neurocontrollers; nonlinear control systems; steam power stations; temperature control; controller design; left super heater tubes; neural network training; nonlinear superheated temperature control process modelling; process variable; right super heater tubes; superheated steam temperature control process; thermal power plant; Neural Network; Non linear; Superheated Temperature;
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
Conference_Location :
Tiruchengode
Electronic_ISBN :
978-1-84919-797-7
DOI :
10.1049/cp.2012.2228
