ABSTRACT:
Non model-based controllers have been explored for the
control of a shunt active power filter (APF) designed for harmonic and reactive
current mitigation. In this paper, three soft computing techniques viz; fuzzy
logic, neural network, and genetic algorithm are used to design alternative
control schemes for switching the APF. The models for these control schemes are
designed and simulated in MATLAB. A comparative study of the results obtained
using these artificial-intelligence-based schemes is presented.
KEYWORDS:
1.
Active power
filter (APF)
2.
fuzzy logic
3.
genetic
algorithm (GA
4.
neural network
SOFTWARE:
MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.1.
Configuration of the APF.
CONCLUSION:
The
overall aim of this paper was to consider methods of achieving better
utilization and control of active power filters dealing with harmonic and
reactive current compensation. Alternative schemes based on soft computing
techniques have been proposed. Non model-based controllers designed around fuzzy
logic, neural network, and genetic algorithms were applied to control the
switching of the active power filter and were found to provide much better
response under varying load and supply conditions.
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