Fuzzy Control Based On Ga Yellow River Sediment Centrifuge Process

The technique of centrifugal separation is becoming an increasing importance method in the separated industry. The wide spread numerical approaches are still used in separation between slurries and water in the yellow river despite a restricted efficiency. Now, we adopt the centrifugal separation to do with it, which is often a typical and complex industrial process because of the characteristics of non linearity, interactions between process variables and the lack of knowledge concerning their control, especially foundation of the relevant formulation of precise mathematics model.For many years, aiming at the separated control method based on the traditional control (open loop control or closed loop control) and the control system of computer (PCS or ACS) , the separated process hardly can be used in all kinds of un-separated mixture and in which the role of the human operator become more and more important. In this context, fuzzy control can be considered as a pertinent approach because the fuzzy concept enables us to handle the heuristic rules provided by the expert of the process. In fact fuzzy control approach leads to an operator behavior model rather than a process model. If genetic algorithms are employed, particularly, to optimize the fuzzy controller, it will contribute to the new ideal for the separation of Artificial Intelligence.The aim of this paper is to use a based-on GA fuzzy controller to control the centrifugal separation between slurries and water. The paper is made up three sections: in the first one, we introduce the principle of the technique of centrifugal separation, which specially and systemically is introduced because the mixture is separated in the decanter. It is important of inner factors and outer factors to influence the separated effect. Two major variables could be considered for this process control. In the second one, the characteristics of the fuzzy control is at length analyzed. And it is emerged into the traits of slurry separation engineering. From this point, we bring up a based-on GA optimized fuzzy control to do with the process. In the last, we shorten time of process control through optimization of the control table of the fuzzy controller. An optimal fuzzy controller based on GA is proposed on the basis of above analysis.With the identification of the relationship between input variables and output variables, the simulated model of the separated system is deducted. On the basis of the model, we employ MATLAB to simulate the system experiment. And we compare dynamic and static characteristic of PID control, Fuzzy control and Based-on GA fuzzy control. The results of simulation for model of simulation are proved that the approach of based-on GA fuzzy control is more efficient than other control methods because of its non-adjust value and shorter time of control.We have employed the binary system coding of GA directly to search and optimize the parameters of the control table under of the structure of fuzzy controller. The optimal and robust fuzzy controller which has overcome some shortcomings of traditional fuzzy controller has been designed.