By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power pla...By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power plant is put forward. This scheme can effectively overcome the large time delay, inertia of the export steam and the influencee of object in varying operational parameters. Thus excellent control quality is obtaitud. The present paper describes the development and application of neural network based controller to control the temperature of the boiler＇s export steam. Through simulation in various situations, it validates that the control quality of this control system is apparently superior to the conventional PID control system.展开更多
This paper introduced a thermo tank temperature control system based on STM32. Firstly, the temperature acquisition is real- ized by the high-lxecision electrical bridge based on constant current source. Then the augm...This paper introduced a thermo tank temperature control system based on STM32. Firstly, the temperature acquisition is real- ized by the high-lxecision electrical bridge based on constant current source. Then the augmented PID algorithm realized by software is adopteff But-terworth filter is used to convert the o.aput PWM of STM32 to current signal which is used to control the seniconductor control rectifier to adjust the temrature. Calibration check and practical application both indicated that the system was reliable, high-precision, practicable and could meet reality needs.展开更多
基金supported by the project of "SDUST Qunxing Program"(No.qx0902075)
文摘By combining the Back-Propagation （BP） neural network with conventional proportional Integral Derivative （PID） controller, a new temperature control strategy of the export steam in supercritical electric power plant is put forward. This scheme can effectively overcome the large time delay, inertia of the export steam and the influencee of object in varying operational parameters. Thus excellent control quality is obtaitud. The present paper describes the development and application of neural network based controller to control the temperature of the boiler＇s export steam. Through simulation in various situations, it validates that the control quality of this control system is apparently superior to the conventional PID control system.
文摘This paper introduced a thermo tank temperature control system based on STM32. Firstly, the temperature acquisition is real- ized by the high-lxecision electrical bridge based on constant current source. Then the augmented PID algorithm realized by software is adopteff But-terworth filter is used to convert the o.aput PWM of STM32 to current signal which is used to control the seniconductor control rectifier to adjust the temrature. Calibration check and practical application both indicated that the system was reliable, high-precision, practicable and could meet reality needs.
