Powdered Explosives Production Line Modified Tower Pressure Control

Reaction tower, which is one of the key units in the process of powdery explosive production, is used to modify the character of ammonium nitrate in the production line of powdery explosive. The pressure stability of the reaction tower influences not only the performance of the dynamite but also the security of its producing system. Therefore, the research and design for the automatic pressure control system of the reaction tower are of great significance for realizing the automatic control in the manufacture of powdery explosive, improving the quantity of product and decreasing working intensity.Based on the analyses for the production process of the powdery explosive and the characteristic of the reaction tower-pressure system, a model structure of reaction tower-pressure control system is established firstly, and then the system parameters are identified by using classical step response method. An approximate system model is deduced at last.The main characteristics of the reaction tower-pressure control system are time-delay and time-varying. The influence which time-delay loop brings to the system performance and the principle of the Smith predictor are introduced particularly in this paper. The theory of single neuron adaptive PID controller is researched, mainly in its algorithm and the algorithm modification. Smith predictor can effectively remove the time-delay from the closed-loop characteristic equation, but it is sensitive to the change of the parameters. In order to solve this problem, a strategy of single neuron self-adapting compensation control via Smith predictor is put forward. In this strategy, the single neuron PID is used as the main controller, while Smith predictor is used as the compensator. The intelligent controller is simulated with Simulink in Matlab and the results show that the proposed scheme has a good control character and strong robustness.Finally the structure of the system is introduced and the software system is designed. The running results indicate the control system is stable and reliable. The continuous production is successfully realized. The quantity and quality of product are also improved.