Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Dual Screw Profile Plastic Extruder Using Labview | Science Publications

Journal of Computer Science

Balakrishnan Anantharaman Poonamallie¹  Ravi Samikannu¹ 

关键词: PID controller;    neural controller;    plastic extrusion;    fuzzy controller;    extrusion system;    neuro fuzzy controller;    synthetic optimizing;    polymer material;    Nichols tuning rules;    PVC extrusion plant;    LabVIEW program;   

DOI  :  10.3844/jcssp.2011.671.677

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: The temperature control in plastic extrusion machine is an importantfactor to produce high quality plastic products. The first order temperature control system in plasticextrusion comprises of coupling effects, long delay time and large time constants. Controllingtemperature is very difficult as the process is multistage process and the system coupled with eachother. In order to conquer this problem the system is premeditated with neuro fuzzy controller usingLabVIEW. Approach: The existing technique involved is conventional PID controller, Neuralcontroller, mamdani type Fuzzy Logic Controller and the proposed method is neuro fuzzy controller.Results: Manifest feature of the proposed method is smoothing of undesired control signal ofconventional PID, neural controller and mamdani type FLC controller. The software incorporated theLabVIEW graphical programming language and MATLAB toolbox were used to design temperaturecontrol in plastic extrusion system. Hence neuro fuzzy controller is most powerful approach to retrievethe adaptiveness in the case of nonlinear system. Conclusion: The tuning of the controller wassynchronized with the controlled variable and allowing the process at its desired operating condition.The results indicated that the use of proposed controller improve the process in terms of time domainspecification, set point tracking and also reject disturbances with optimum stability.

【 授权许可】

Unknown