Robust control of parallel buck fed buck converter using hybrid fuzzy PI controller

2015 ◽  
Author(s):  
S. Vinod ◽  
M. Balaji ◽  
M. Prabhakar
Keyword(s):  
Robust Control ◽  
Pi Controller ◽  
Buck Converter ◽  
Fuzzy Pi Controller

Application of Robust Control on Arduino Microcontroller Testing in Power Electronics Converters

2015 ◽  
Vol 785 ◽  
pp. 172-176 ◽  
Author(s):  
Shamsul Aizam Zulkifli ◽  
Mohd Razali Tomari ◽  
Mohd Najib Hussin ◽  
Abdul Salam Saad ◽  
Mohd Khairul Akli Ab Ghani ◽  
...  
Keyword(s):  
Robust Control ◽  
Pi Controller ◽  
Feedback Mechanism ◽  
Robust Controller ◽  
Current Feedback ◽  
Phase Inverter ◽  
Power Electronics Converters ◽  
Fuzzy Pi Controller ◽  
Arduino Microcontroller ◽  
To Receive

This paper presents the capability of Arduino for responding to the robust controller which has been applied to the 3 phase rectifier and 3 phase inverter. The interface between the converters and the Arduino has been established by using MATLAB-Simulink environment. This is the fastest interface due the Arduino library that is available in the MATLAB which can be used before downloading the program to the board. Two types of controllers have been tested which are, P-Resonant and Fuzzy-PI controller. The voltage or current feedback mechanism also has been applied between the converters with the Arduino input port in order for responding to the design controller for signal generating pattern. At the end, it shows that, the Arduino is capable to receive the signals from the converters, process the signals in the board and generating the signal out for controlling the converters.

Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller

2020 ◽  
Vol 39 (3) ◽  
pp. 4319-4329
Author(s):  
Haibo Zhou ◽  
Chaolong Zhang ◽  
Shuaixia Tan ◽  
Yu Dai ◽  
Ji’an Duan ◽  
...  
Keyword(s):  
Pi Controller ◽  
Real Time Control ◽  
Fuzzy Operators ◽  
Fuzzy Operator ◽  
Analytical Structure ◽  
Product Operator ◽  
Pi Controllers ◽  
Fuzzy Pi Controller ◽  
Interval Type

The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results.

THE SETTINGS ALGORITHM OF A NEURO-FUZZY PI-CONTROLLER

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Atamurat Mambetov ◽  
Rasul Beglerbekov ◽  
Hurliman Sultanova
Keyword(s):  
Pi Controller ◽  
Neuro Fuzzy ◽  
Fuzzy Pi Controller
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