Performance of Networked DC Motor with Fuzzy Logic Controller
In the recent years the usage of data networks has been increased
due to its cost effective and flexible applications. A shared data
network can effectively reduce complicated wiring connections,
installation and maintenance for connecting a complex control
system with various sensors, actuators, and controllers as a
networked control system. For the time-sensitive application
with networked control system the remote dc motor actuation
control has been chosen. Due to time-varying network traffic
demands and disturbances, the guarantee of transmitting signals
without any delays or data losses plays a vital role for the
performances in using networked control systems. This paper
proposes Fuzzy Logic Controller methodology in the networked
dc motor control and the results are compared with the
performance of the system with Ziegler-Nichols Tuned
Proportional-Integral-Derivative Controller and Fuzzy Modulated
Proportional-Integral-Derivative Controller. Simulations results
are presented to demonstrate the proposed schemes in a closed
loop control. The effective results show that the performance of
networked control dc motor is improved by using Fuzzy Logic
Controller than the other controllers.
Keywords: Networked Control System, Fuzzy Logic Controller,
DC Motor
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