Single-input Fuzzy PI Controller for Traction Line-Side Converter of High Speed Railway

2021 ◽  
Author(s):  
Ranjan K. Pradhan ◽  
Chinmaya K. Sahu
Keyword(s):  
High Speed ◽  
Pi Controller ◽  
High Speed Railway ◽  
Single Input ◽  
Fuzzy Pi Controller

scholarly journals The Fuzzy PI Controller for PMSM’s Speed to Track the Standard Model

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Nguyen Vu Quynh
Keyword(s):  
Standard Model ◽  
Integrated Circuit ◽  
High Speed ◽  
Permanent Magnet Synchronous Motor ◽  
Viscous Friction ◽  
Pi Controller ◽  
Current Loop ◽  
Loop Control ◽  
Simulation And Experiment ◽  
Fuzzy Pi Controller

This paper proposes a fuzzy PI controller to control the speed of a permanent magnet synchronous motor (PMSM). The structure of the system includes the speed loop controller (SLC) and the current loop controller (CLC). The speed loop controller is the fuzzy PI and standard model (SM). The CLC includes vector control and the space vector pulse width modulation (SVPWM). It compiles two closed-loop control systems for the PMSM. This research uses a very high-speed integrated circuit hardware description language (VHDL) to implement the proposed algorithm and embed it into Matlab/Simulink for simulation. Based on the PMSM parameter, this article tests the controller’s correctness with some of the load cases by changing the combined inertia and viscous friction of rotor and load. After success in simulation, the system is tested again by experiment on the FPGA kit. The simulation and experiment results show that when the load changes, the PMSM speed is still stable. The novelty of this research is that it compares two kinds of controllers between simulation and experiment results.

scholarly journals Brushless DC Motor Speed Control Using Single Input Fuzzy PI Controller

2018 ◽  
Vol 9 (4) ◽  
pp. 1952 ◽  
Author(s):  
N. N. Baharudin ◽  
S. M. Ayob
Keyword(s):  
Fuzzy Controller ◽  
Dc Motor ◽  
Pi Controller ◽  
Motor Speed ◽  
Brushless Dc ◽  
Hybrid Controller ◽  
Single Input ◽  
Fuzzy Pi Controller ◽  
Non Linear System ◽  
Speed Response

<span lang="EN-US">Brushless DC (BLDC) motor is more reliable than classic DC motor with higher efficiency. Commonly used conventional linear controller such as PI, PID and PD controller. FLC is considered a replacement to conventional controller due to advantages on non-linear system. Hybrid controller e.g Fuzzy PI controller is developed to cope with drawback of both controller. Simplification of FLC in previous study is the pioneer of the idea of proposed method. Single-Input Fuzzy PI Controller (SIFPIC) is a hybrid controller that combines advantages of linear PI controller and fuzzy controller in one control structure. Since it is a single input based fuzzy controller, it yields simpler design and tuning process.  Simulation is done using MATLAB/Simulink and the performance is observed through speed response under several conditions namely constant speed, changing seed and changing load torque. The performance of SIFPIC is compared with conventional PI and fuzzy PI controller. SIFPIC is as expected produced a response similar with the conventional fuzzy PI controller with both fuzzy based controller produce response with better dynamic.</span>

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

A Museum Filled with Past, Present and Future in High Speed Railway^|^mdash;SCMAGLEV and Railway Park^|^mdash;

2012 ◽  
Vol 132 (10) ◽  
pp. 673-676
Author(s):  
Takaharu TAKESHITA ◽  
Wataru KITAGAWA ◽  
Inami ASAI ◽  
Hidehiko NAKAZAWA ◽  
Yusuke FURUHASHI
Keyword(s):  
High Speed ◽  
High Speed Railway
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