Application And Study Of Decoupling Technology In Industry Kiln Control System

The coupling exists in the circuits of multivariable system. That is to say, the change of some input will bright forth the change of parts of or all the outputs, which will lower the effect of control system. If the couple is serious, the system will not run. In order to get a satisfying effect, it is necessary to decouple the multivariable system.The current intelligent control is mostly adopted well in the control of industry kiln. But it rarely hitches up to the decouple control technology. If the two are bonded, the coupled multivariable system will be changed into the single-variable system when some output will be only in response to some input. At the same time, the design method of single-variable system can not solve the problem of multivariable system. So it is a good way to decouple the multivariable system to the single-variable system. The decouple control of multivariable system can be divided into classical decouple control, self-adaptive decouple control, intelligent decouple control including neural network decouple control and fuzzy decouple control, nonlinear and robust decouple control.The thesis will introduce the principles and design of the multivariable decouple control, analyze the parameters of kiln system, research the couple of atmosphere, temperature and pressure in the ceramic industry kiln control system, decouple the system by using the methods of intelligent decouple control and design the fuzzy decouple controller to optimize the system performance. Besides, the atmosphere should be controlled in the way of fuzzy control. And the key of controller design is to build the polling lists and sum up the control rules, which will indirectly affect the accuracy degree of controller. The fuzzy-PID control used in temperature control, with temperature departures and the changes and as its input and fuel flow as output, could satisfy the control demand. Then we can solve the couple of atmosphere and temperature with fuzzy decouple control, and it is feasible to decouple by use of the functional relation of temperature, atmosphere and heat value. Moreover, later the computer simulation indicates the intelligent decouple control method have good effects.