The Study Of Refining Fumance Bottom Blowing Argon Intelligent Control System

This thesis introduces the working principle ,craftwork requirement ,modeling process ,control strategies and the realization of LF refining furnance bottom blowing Argon control system.Through the study and analysis of bottom blowing Argon process control system ,the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors ,PWM adjustable pressure controller and PCM adjustable flux controller according to the relevant liquid knowledge and relevant data ,including design data,test data and running data.To begin with the craftwork reguirement of bottom blowing Argon and the actual instance of the control system,it presents the strategies of fuzzy parameters self-adaptive PID control used in pressure difference inner loop and fuzzy plus PI compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of Argon flux. Compared with normal PID, we can draw a conclusion that the control strategies have stronger robust performance and better dynamic performance from simulating results.Finally ,with the respect of the control system realization the thesis not only shows the design and debugging of the control system's hardware and software respectively but also gives the results of the control system under the industrial condition.