Dual screw profile extruder temperature control using LabVIEW enhanced Genetic Fuzzy Algorithm

Temperature control of plastic extrusion system suffers from problems related to undesirable overshoot, longer settling time and disturbances. In this paper Genetic Algorithm based Fuzzy Logic Controller for temperature control in a plastic extrusion is developed and tested through a simulation study. A novel GA based FLC method is implemented to design a practicable advanced controller. Manifest feature of the proposed method is smoothing of undesired control signal of conventional PID, mamdani type FLC controller. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The system is designed with four different control techniques to control temperature at different set point changes and as well as to control sudden input disturbances. The techniques involved is conventional PID controller, mamdani type FLC controller, GA based PID and the proposed method is GA based FLC. The software incorporates LabVIEW graphical programming language and Matlab toolbox to design temperature control in plastic extrusion system. In this research the control methods are simulated using simulink and results obtained through LabVIEW. The simulation study shows the results obtained reflect that use of Genetic Algorithm based FLC controllers improve the performance of the process in terms of time domain specification, set point tracking and disturbance rejection with optimum stability.