SHIP BOILER STEAM PRESSURE CONTROL SYSTEM BASED ON BP-PID CONTROL
Lu Jiaqi, YOU Qianliang, ZhangMingming, JIANG Xiaoqi, GU Jiaxin
Abstract
Open-access reader
Lu Jiaqi, YOU Qianliang, ZhangMingming, JIANG Xiaoqi, GU Jiaxin
Abstract
Open-access reader
The control of steam’s pressure is the key link of boiler power plant, its control performances influence the rotate speed of steam turbine directly. Boiler steam’s pressure has the characteristics of time-varying, nonlinearity, large inertia and large hysteresis. The traditional PID control method does not have the ability of self-adaptability, and it is difficult to meet the system’s requirements. In order to solve the problem, this paper design a boiler steam pressure control system based on BP-PID control. A second-order mathematical model with time delay of boiler steam’s pressure is used as the controlled object, the PID controller and the PID controller based on BP neural network are used to control it.The whole process is simulated by MATLAB software.The simulation results show that when the PID controller based on BP neural network is adopted, the response curve has no oscillation, no overshoot and short transition time, the control effect is better than traditional PID controller.
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The control of steam’s pressure is the key link of boiler power plant, its control performances influence the rotate speed of steam turbine directly. Boiler steam’s pressure has the characteristics of time-varying, nonlinearity, large inertia and large hysteresis. The traditional PID control method does not have the ability of self-adaptability, and it is difficult to meet the system’s requirements. In order to solve the problem, this paper design a boiler steam pressure control system based on BP-PID control. A second-order mathematical model with time delay of boiler steam’s pressure is used as the controlled object, the PID controller and the PID controller based on BP neural network are used to control it.The whole process is simulated by MATLAB software.The simulation results show that when the PID controller based on BP neural network is adopted, the response curve has no oscillation, no overshoot and short transition time, the control effect is better than traditional PID controller.
Key concepts: PID controller, Boiler (water heating), Control theory (sociology), Pressure control, Control engineering, Control system, Engineering, Inertia