Comparative Study of PI Controlled and Fuzzy Controlled Buck Converter
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 3
Abstract
The main objective of this paper is to compare the performance between fuzzy controller and proportional integralcontroller in improving the performance of the DC-DC Buck Converter. The evaluation of the output has been carried out and compared by software simulation using MATLAB. This paper also evaluates the stability of the system with fuzzy controller and PI controller and concludes that the fuzzy controller is able to achieve faster transient response, has major stable steady state response and is more robust under different operating points.
Authors and Affiliations
Neetu Sharma1 , Dr. Pradyumn Chaturvedi2 , Rahul Dubey3
Keywords
Related Articles
- EP ID EP146261
- DOI -
- Views 96
- Downloads 0
Comparitive Study Of Diffrent Multiplier Architectures
This paper presents a comparative analysis of three different multiplier architectures. The three multipliers architecture are array multiplier, a column bypass multiplier, and a array multiplier using Reversal Log...
Fingerprint Recognition by Minutiae Matching Method for Evaluating Accuracy
Today, Fingerprint recognitions are used for person identification and verification. In fingerprint recognition, matching methods and algorithms are most important for research area. Matching methods based on the d...
Analysis of Skin Cancer Using Fuzzy and Wavelet Technique – Review & Proposed New Algorithm
This paper first reviews the past and present technologies for skin cancer detections along with their relevant tools. Then it goes on discussing briefly about features, advantages or drawbacks of each of them. The...
Design an Embedded Web Server for Monitoring and Controlling Systems or Devices
The paper presents the design of embedded web server based on ARM9 Micro-processor and Linux platform and analyses hardware configuration and software implementation for monitoring and controlling systems or device...
Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process
Fuzzy Model Reference Learning Control (FMRLC) is an efficient technique for the control of non linear process. In this paper, a FMRLC is applied in to a non linear spherical tank system. First, the mathematical mod...