The Study And Application Of Intelligent Sliding Mode Variable Structure Control

Intelligent control tactics are adopted to lucubrate with temperature control system of anode baking furnace of Baiyin aluminum plant for the traits of difficult modeling and control complex system in this paper. Neural network sliding mode variable structure control is composed of neural network and sliding mode control and it is the organic integration of the two parts. This methodology enhances the system's robustness and can eliminate the high frequency chattering efficiently. So, in this we combine neural network with sliding mode control through theoretically analyzing the control algorithm of radial basis function neural network in detail and doing a mass of simulation research. According to the theory of thermo dynamic and hydro dynamics, roughly build the mathematics model based on the heavy oil pressure an input and the bake temperature as output.The effect of the parameter choices is analyzed and an improved discrete variable structure control scheme is developed. Parameters were determined previously in the conventional reaching law, were regulated adaptively by two radial basis function neural networks respectively, and network weights were updated by the deviations between discrete reaching control law and discrete equivalent control law. It is shown that all advantages of the reaching law are retained, Meanwhile the dynamic features of the control system are improved effectively and system chattering if eliminated. System can move perfectly on the sliding mode surface.On the basis of theory research and simulation, through processing a mass of collected input data and output data of temperature control system of anode baking furnace, we use recurrent neural networks model to correct dynamic measurement errors of sensors. The test signals can overcome sensor measurement lag after compensation calculating, which makes temperature distributing inside the furnace and calefactive velocity. Satisfy the technical need offer theory foundation for producing anode of good quality.