The Research And Design Of TRT Blast Furnace Control System

As an efficient secondary energy recovery system, Blast Furnace Top Gas Pressure Recovery Turbine system (TRT) works on the premise that ensuring the stability of blast furnace top pressure. Most of the widely used control algorithms in traditional blast furnace top pressure control system's master and vice-loop is the classical PID control method, the problems of which include the inconvenience of PID parameter adjustment, the weakness of anti-disturbance, the poor ability to adapt time-varying objects,etc. In addition, the servo controller in vice-loop of the control system uses analog circuit, make it hard to improve and perfect the control algorithm that used for the loop, also limits the control system to further optimize.Combining the characteristics of the blast furnace TRT control system, modeling and analysising the simulation system, we propose a fuzzy adaptive PID control algorithm, and finally complete its simulation and verification.In order to solve the problem that the advanced optimal control algorithms can not be applied in the vice-loop of the control system, we design a digital servo controller based on FPGA/SOPC system according to the stability requirements of the top pressure control system. We use Cyclone EP1C12 chip as the master chip, the modular software programming ideas, and finally achieved the fuzzy adaptive PID control algorithm in this system. In this FPGA/SOPC system, we use hardware circuitry (VHDL programming) to achieve data collection, conversion output and optimal control algorithms, use NIOS system (C Programming) to achieve human-machine interface and FPGA peripheral expansion. Between the two systems, we use dual-port RAM for information exchange which is built in FPGA. And in the process of information exchange,we use semaphores and interlocked to ensure the reliability of information transmission. The results show that, by using this control system, the performance canbe significantly improve., the speed and reliability canbe further improved. The function of this control system achieved the purpose of optimizing the performance of system and satisfies the control requirements of the TRT system.