| The heat treatment kiln is widely used in industrial production. This paper gives a comprehensive research on kiln production process control system, and designs a set of intelligent monitor and distributed control system(DCS) in the the heat treatment kiln manufacturing process combined hardware with software.According to the technical flow and characters of heat treatment kiln, the control system was divided into locale layer, middle control layer, and system management layer according to the IPC&PLC&Profibus-DP field-bus scheme. The local layer realize the local data acquisition, control local instrument and execute machine. The middle control layer was constructed by a PLC Control Station and intelligent temperature controller, the former implement the basic logical function and the special control algorithm. The system manager and monitor layer which realize remote monitor and control by displaying technological flow and warming interface is consisted by an IPC. The system manager and monitor acquire production process data by communicating with PLC and intelligent temperature controller.In system design, firing system of kiln is a multi-variant coupling non-linear system, which is the difficulty of system control. According to the autonomous and compensatory theory, the paper proposes the scheme which divides the system into temperature, air-natural gas ratio and tiny positave pressure loops. In the loop we use feedback control system. Considering the long delay, non-linear and time-variable characters of kiln, intelligent control arithmetic was introduced in temperature control loop. The FUZZY-PID parameter self-adaptive controller was designed to optimize the system control scheme.In order to improve the veracity of design, and find the best parameters and structure, the advanced LSM is introduced in modeling for temperature control loop. The models were simulated in MATLAB with PID control and FUZZY control; the results show that the improved control method is better than PID control method in control veracity and robustness. |