Application of AI Techniques in Implementing Shunt APF in Aircraft Supply System

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 258)


A new improved ANN control based aircraft shunt filter has been proposed in this paper. The shunt active power filter model has been improved using Genetic Algorithm and fuzzy logic. Genetic Algorithm has been used to find the optimum value of filter inductor; whereas fuzzy logic controller has been used in voltage control loop of the filter. The improvement in the control scheme using ANN control makes APF versatile for compensation of reactive power, harmonic currents, and unbalance in source currents. Proposed aircraft shunt filter also provide proper solution to the neural current in the system. The simulated results using MATLAB model are presented and they clearly prove the effectiveness of the proposed control method of aircraft shunt APF.


Artificial intelligence (AI) Artificial neural network (ANN) Active power filter (APF) Genetic algorithm Total harmonics distortion (THD) Fuzzy logic 


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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Electrical EngineeringI.E.T.LucknowIndia

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