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Study on Boiler Superheated Steam Temperature Control Based on Neural Network Inverse Models

Author: ShiZhenXing
Tutor: MaLiangYu
School: North China Electric Power University
Course: Control Theory and Control Engineering
Keywords: Boiler Superheated Steam Temperature Control BP neural network Inverse system modeling Against the compensation control
CLC: TM621.2
Type: Master's thesis
Year: 2011
Downloads: 59
Quote: 0
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Abstract


Boiler superheated steam temperature is one of the important parameters in the operation of the coal-fired units , is too high , too low will pose a threat to the safe and economic operation of the unit . The Spray Desuperheating common means of superheated steam temperature control , cascade PID control , to achieve good control effect , use more the boiler complex structure , large systems . Superheated steam temperature system of strongly nonlinear, large delay , large inertia load substantially change the original a good tuning PID parameters are often not suitable for the new conditions , seriously affecting the quality steam temperature control , and PID parameters The online optimization tuning time-consuming and labor-intensive . With the development of computer technology in recent years , more and more control in power plant applications of neural networks , and provides a new way of thinking for the optimal control of superheated steam temperature . The characteristics of power plant superheated steam temperature system -depth study of the superheated steam temperature control scheme based on neural network inverse system method . This paper first discusses the structure of the BP neural network training methods and neural network inverse control concept , inverse controller design principles and methods to analyze the the boiler superheater characteristics and influencing factors of superheated steam temperature . On this basis , respectively, for a 300MW sub-critical 600MW supercritical boiler superheated steam temperature system with MATLAB neural network inverse model to determine the control program , the design of the controller and with the power plant full scope simulator detailed control simulation . The test results show that : the neural network inverse control from either overshoot , adjust the settling time , compared with the original cascade PID control system , have greatly improved the quality of superheated steam temperature control .

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Boilers and combustion systems
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