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Analysis of Different Controllers for Controlling Buck Converter

Author Affiliations

  • 1Department of Electrical Engineering, CSVTU, Bhilai, India
  • 2Department of Electrical Engineering, CSVTU, Bhilai, India

Res. J. Engineering Sci., Volume 5, Issue (4), Pages 1-10, April,26 (2016)


In this paper a Hybrid Controller is introduced i.e. PID-NN Controller (PID with neural network) for improving the output response of buck converter. Hybridization is somewhat, combining the advantageous part of both controllers together. Here, Buck converter’s Output voltage is controlled by different controllers and comparing results obtained from Controllers. Classical linear techniques have stability around the operating point. This Paper shows comparison of different controller’s response in order to control buck converter. The output response of Buck Converter is tested with different controllers individually and results are shown. Neural network technique used as gain scheduler that computes the values of Proportion (Kp), Derivative (Kd),and integral constant (Ki) values for PID Controller. PID output provides the change in duty ratio and then it applied to PWM block to produce the required duty cycle for Switch of Buck Converter. The objective is to improve the System’s output response under different load variations and also to use advantage of neural network such as strong learning ability and adaptability. All simulation are done at MATLAB/SIMULINK


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