Huang Quan-Zhen
School of Electrical Information Engineering, Henan Institute of Engineering, Zhengzhou Henan, 451191, China
Lv Kuan-Zhou
School of Electrical Information Engineering, Henan Institute of Engineering, Zhengzhou Henan, 451191, China
Li Heng-Yu
School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
ABSTRACT
Superheated steam temperature is a very important monitoring and control parameter for Heat-engine plant, too high or too low temperature will affect the safe operation of the plant and its production efficiency. Superheated steam temperature control system generally contains nonlinearity and parameter instability nad it is difficult to build the precise mathematical model by the traditional control method such as PID, so a PID Superheated Steam Temperature Control System based on BP neural network (BP-NN) is designed using the characteristic of self-learning and robustness and combining with conventional PID control algorithm. According to the changes of controlled object parameter, it can automatically adjust the PID parameters using BP neural network by itself. Simulation and actual investment of the factory test show that the designed control system is feasible and the control effect is better.
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How to cite this article
Huang Quan-Zhen, Lv Kuan-Zhou and Li Heng-Yu, 2013. Design of Superheated Steam Temperature Control Strategy for Heat-engine
Plant. Information Technology Journal, 12: 3184-3188.
DOI: 10.3923/itj.2013.3184.3188
URL: https://scialert.net/abstract/?doi=itj.2013.3184.3188
DOI: 10.3923/itj.2013.3184.3188
URL: https://scialert.net/abstract/?doi=itj.2013.3184.3188
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