Year: 2014
Type: article
Abstract: This paper describes the Neuro-Fuzzy logic based controller design for the buck DC-DC converters. As it is obvious form the previous type of controllers (conventional PID) for such converters which have been designed under the worst case condition for high load and lowest line condition, they present a lower loop in band width, and the system response is sluggish. In this regard, since the neural networks have powerful learning capabilities, optimization abilities, and adaptation, in this paper the design and analysis for a Neuro-Fuzzy PWM based PD controller is proposed. Lastly, In order to show that the Neuro logic based PD controller provides robust control for non-linear power electronics variable switching structure such as the dc-dc buck converter, MATLAB Simulink software is employed to confirm the corresponding results validity.
Institution: Shiraz University
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W77048202