Design of a robust PI controller for a dual active bridge converter

The increasing population which in leads to the increase in use of automobiles which constitutes to seventy five percent of carbon monoxide emission. The use of electrical vehicles (EV) has become a necessity to protect the environment from further pollution. The slow charging of the EV is a main hindrance for the success of EV. Fast charging can be achieved by providing charging locations that can be built which can charge the EV in short time span. This paper proposes a bidirectional DC-DC converter with six inverter legs in parallel which is similar to 3Φ dual active bridge (DAB) converter. This proposed converter has additional inverter legs which increases the converter current capacity resulting in fast charging. A feedback controller is implemented to reduce the ripple content.

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PI Control of Current-Fed Dual Active Bridge Converter for DC Microgrid

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i3052.0789s319 ◽

2019 ◽

Vol 8 (9S3) ◽

pp. 283-288

Keyword(s):

State Space ◽

Averaging Method ◽

Controller Design ◽

Pi Controller ◽

Pi Control ◽

Dc Microgrid ◽

Line Load ◽

Dual Active Bridge ◽

Simulation Results ◽

The Stability

A detailed modelling of soft-switching isolated current-fed dual active bridge (CFDAB) DC/DC converter is presented. This converter is suitable for an interface between two DC buses in a microgrid but is not controlled. The model of the converter is derived with the help of state space averaging method. Based on this modelling, the PI controller designed to improve the operation of the CFDAB converter. Simulation results using MATLAB/Simulink with controller design to verify the stability of the converter and validated performance of the system used for DC microgrid applications of between two buses. The effectiveness of the controller has justified in terms of line, load variation and tracking the reference values.

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

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200334 ◽

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.

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