Control system design of cement rotary kiln based on PID neuron networks

In the process of cement production, the rotary kiln calcination is the most important technology link which includes complicated physical and chemical reaction process with large inertia, pure hysteresis, nonlinearity and strong coupling characteristics. It is hard to derive the exact mathematical model and can not reach satisfied results with conventional control algorithms. Now, the cement rotary kilns are mainly controlled manually or semi-automatically, which is based on the experience of operators to attain acceptable performances with low production rate. This paper presents the application of PID neuron networks to implement the real-time monitoring, analysis and optimization based on the field bus technology to the conventional cement production defects. The main control system structure includes three control loops as the pressure control loop, the burning zone control loop and the back-end of kiln temperature control loop. The simulation results show the effectiveness of the control scheme with quick response time and lower overshoot, also with small temperature deviation.