Fuzzy Logic Based Intelligent Controller Design for an Injection Mould Machine Process Control

This paper is an original philosophy of analyzing the importance of fuzzy logic based intelligent concepts in the design of the temperature process controller for an injection mould machine. An injection mould machine is a basic requirement of every plastic, rubber etc.., process industries to mould the items to the desired shapes by the application of proper temperatures. So, it is very intended to maintain these desired temperatures. Conventionally, PID controller is used as an industrial process controller, but this offers a major constraint in the selection of controller gains. Also, it may not produce satisfactory results when used as a temperature process controller because, the temperature process has the characteristics of non-linearity, large inertia and time variations. Hence, recent research should go on finding the feasible methods to achieve this. With this aspect, this paper proposes such an effective controller design by introducing fuzzy logic based intelligent concepts in the designing of temperature process controller and/or setting up the optimum values for the controller gains namely Proportional, Integral and Derivative gains. So, this paper drafts the performance analysis of conventional PID controller versus proposed Fuzzy based controller designs. The entire system is modeled using MATLAB/SIMULINK and the simulation results show that the proposed controller has good robustness, rapidity and good dynamic performance. Keywords— Injection Mould Machine, Temperature Process Control, PID controller, Fuzzy Logic Controller, Fuzzy-PID Controller, Dynamic performance analysis, Matlab/ Simulink