Application of Fuzzy Controller for the Model

In day today’s scenario it is very difficult to utilize the resources optimally i.e. with optimum input parameter to produce the optimum output products using the conventional control techniques, which found fall short of providing effective means of controlling the processes when the process is complex. With the increasing demand for better quality and productivity, there is a need to automate the industrialized processes. Many processes are however complex, nonlinear, stochastic and even ill defined in some cases. In fact operation of many processes still relies on the operator’s skills due to lack of robust control methods. However, it is well known that humans, once trained or experienced, can successfully control various complex systems without having to depend on mathematical models. This fact leads to the need to develop intelligent monitoring and control schemes. In this paper an attempt has been made for intelligent optimization and control of complex process to achieve better quality of pulp manufacturing using intelligent control schemes based on fuzzy logic. The case study has been undertaken at paper industry located at southern part of India.