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Design of Adaptive Fuzzy PID Controller for Network Control System

Journal: GRD Journal for Engineering (Vol.2, No. 5)

Publication Date:

Authors : ; ;

Page : 252-259

Keywords : Network Control System; PID Controller; Fuzzy Logic; Smith Compensator; DC Servomotor;

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Abstract

Nitriding is a case hardening thermo-chemical process used in many applications today. Nowadays, the improvement of ferrous materials performance is a problem of high interest. One of well known wear and corrosion properties improving technique is plasma nitriding, in which elemental nitrogen is introduced to the surface of a metal part for subsequent diffusion into the material. As a result, a compound, “white” layer and a diffusion zone are formed at the surface. A literature research was done in order to study the nitriding mechanism and different nitriding methods used in industry. Network control system (NCSs) are used for controlling remote plants via shared –band data communication networks. Due to some problems like communication time delay, data packet loss, network interference, signals jamming, it's difficult to achieve a satisfactory result when using the conventional control algorithm. In this paper, focusing on the above problems in Network Control Systems, a new kind of controller is designed that is the “Fuzzy PID” controller. When compared with conventional PID controller the dynamic performance of proposed “Fuzzy PID” controller is improved in terms of overshoot, settling time . This suggested design has been applied to control the speed of DC Servomotor as a remote plant using MATLAB SIMULATION. Thus the results shows that the designed controller used in this paper can increase the adaptability of the system and obtain a better control effect. Citation: Meghana Singh, Jabalpur Engineering College, Jabalpur; Dr. Shailja Shukla ,Jabalpur Engineering College, Jabalpur. "Design of Adaptive Fuzzy PID Controller for Network Control System." Global Research and Development Journal For Engineering 25 2017: 252 - 259.

Last modified: 2017-05-03 00:39:24