Research And Application On Intelligent Decoupling Control Of Steam Pipeline Pressure

Copper smelting process is a very complicated process, a complete set of copper smelting center control system composed of subsystems of the feed water and waste heat power generation control system, smelting process fan system and so on. In the production process, the steam pipe pressure is a very important technical index, the stability of its value will directly affect the performance of waste heat power generation, the normal operation of the wind turbine and the safe operation of the entire system. The analysis shows that the steam pipe pressure control system has the characteristics of large amplitude, nonlinear and strong coupling, the traditional control method is difficult to achieve the desired control effect. Therefore, this paper takes the steam pipeline pressure as the research object, using an intelligent control algorithm to maintain pressure stability. It can also ensure productive safety and bring the maximum economic benefits for the enterprise.Firstly, this paper analyzes the characteristics of the steam pipe pressure system and it is found that the mechanism model of the system is very difficult to establish.By focusing on the coupling relationship between the variables of the system, and based on the ARX model, the system model is identified by the method of multiple linear regression.Then, it proposes an inverse system method to decouple the pressure system of the steam pipeline. Considered the actual industrial environment, it is difficult to accurately calculate the inverse system model for the pressure of the steam pipeline,therefore, take RBF neural network approximates its inverse model to enhance the adaptability and anti-interference for the original system, thus realize the decoupling of the system. Also, take the single neuron adaptive PID controller to control the decoupling system, and improve the control performance of the system. In the MATLAB software environment, build the simulation model of the steam pipe pressure decoupling control system, and the simulation results show that the coupling between the pressure of the steam pipeline is basically released.Finally, through the OPC toolbox to establish MATLAB and iFIX communication connection and realize the application of RBF neural network inverse system decoupling control in the actual system, field operation results show that the control effect is good.