Optimization of Feed Rate in Cement Grinding Mill using Electronic Ear Based on CMAC-PID Algorithm

Generally during the process of cement production, the processing takes place in cement grinding mill plays a vital role in determining the production rate of cement. This process consists of number of non-linearities like backlash, large lag and many time-varying model parameters. Therefore it is difficult to derive the exact mathematical model and hence obtaining satisfied results with traditional control algorithms is tedious. Even though PID controllers are used in almost all grinding mills for feedrate control, the performance is not up to a satisfactory level. In order to improve the performance of existing PID controller, this paper proposes an intelligent CMAC neural network algorithm for tuning the parameters of PID controller and thus it optimizes the feedrate control according to sound level in cement grinding mill. The results are simulated in proteus design software tool. Finally comparison is made between different control algorithms for improving the accuracy of control provided in cement grinding mill.