Design and Implementation of ANFIS Controller Based Grid Connected Voltage Source Inverters in RTOS Environment ()
ABSTRACT
In this manuscript it is
proposed and demonstrated that how an ANFIS (Adaptive Neuro Fuzzy Inference
System) can be used in the control of a Voltage Source Inverter (VSI) connected
to the grid. Volatile changes in the gird parameters rising by its variable
demands and other related issues may humiliate the efficiency with which power
can be injected into the grid. The system becomes a higher order one with the
filters used at the terminal of the Voltage Source Inverter (VSI) along with
the parameters of the grid which change from time to time. Single time tuned
mathematical controllers like the PID variants are not suitable for such
applications. Considering the increased order of the system and the associated
non-linearity we have to look out for intelligent controllers. An ANFIS based
control is found to be promising; the development and implementation of one
such are demonstrated in this paper using the MATLAB SIMULINK platform and
through experimental verification using the Reduced Instruction Set Computer
(RISC) Microcontroller Advanced RISC Machine (ARM) processor as the central
controller for the VSI.
Share and Cite:
Udhayakumar, D. and Manoharan, P. (2016) Design and Implementation of ANFIS Controller Based Grid Connected Voltage Source Inverters in RTOS Environment.
Circuits and Systems,
7, 2452-2466. doi:
10.4236/cs.2016.79212.
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