Title :
Application of PID based on BPNN to heating boilers
Author :
Wang Yanping ; Chen Guofang
Author_Institution :
Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
In order to achieve simple and effective control for heating boiler, a BPNN-based PID controller was used in the burden control system of heating boiler to deal with the feedback information and the quantity of fuel entering boiler. The controller could realize online real-time adjustment of the controller parameters by self-learning. The simulation results verify that, using the PID controller based on PINN, the burden control system of the heating boiler not only gains the better control performance, but also acquires stronger adaptability to math model.
Keywords :
adaptive systems; backpropagation; boilers; heating; learning systems; neural nets; neurocontrollers; real-time systems; self-adjusting systems; three-term control; BPNN based PID controller; adaptability; backpropagation neural network; burden control system; heating boiler; online real-time adjustment; self-learning system; Computer languages; Heating; BP neural network; PID; heating boiler;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610397
