PLC Implementation of Piecewise Affine PI Controller Applied to Industrial Systems with Constraints

2019 ◽  
Vol 30 (3) ◽  
pp. 311-322 ◽  
Author(s):  
Jan Erik Mont Gomery Pinto ◽  
Andre Felipe Oliveira de Azevedo Dantas ◽  
Andre Laurindo Maitelli ◽  
Amanda Danielle Oliveira da Silva Dantas ◽  
Carlos Eduardo Trabucco Dórea ◽  
...  
Keyword(s):  
Pi Controller ◽  
Industrial Systems ◽  
Piecewise Affine ◽  
Plc Implementation

scholarly journals A piecewise affine PI controller for buck converter generated DC motor

2019 ◽  
Vol 10 (3) ◽  
pp. 1419
Author(s):  
Mohd Ikhmil Fadzrizan Mohd Hanif ◽  
Mohd Helmi Suid ◽  
Mohd Ashraf Ahmad
Keyword(s):  
Angular Velocity ◽  
Essential Feature ◽  
Variable Structure ◽  
Dc Motor ◽  
Pi Controller ◽  
Buck Converter ◽  
The Other ◽  
Piecewise Affine ◽  
Velocity Tracking ◽  
Control Accuracy

<span>This paper presents a new Piecewise Affine Proportional-Integral (PA-PI) controller for angular velocity tracking of a buck converter generated dc motor. A Safe Experimentation Dynamics (SED) algorithm is employed as a data-driven optimization tool to find the optimal PA-PI controller parameters such that the integral square of error and input are reduced. The essential feature of the PA-PI controller is that the parameters of proportional and integral gains are adaptive to the error variations according to the Piecewise Affine (PA) function. Moreover, the proposed PA function is expected to provide better control accuracy than the other existing variable structure PID controller. In order to verify the effectiveness of the PA-PI controller, a widely known buck converter generated dc motor is considered. The performances of the proposed controller are observed in terms of the integral square of error and input, and the responses of the angular velocity and duty ration input. The simulation results verify that the proposed PA-PI controller yields higher control accuracy than the other existing controllers of buck converter generated dc motor.</span>

Industrial systems analysis

1967 ◽  
Vol 46 (3) ◽  
pp. 181
Author(s):  
William K. Roots
Keyword(s):  
Systems Analysis ◽  
Industrial Systems

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

Design and simulation of a PI controller system with frequency response

2016 ◽  
Vol 4 (2) ◽  
pp. 269-274
Author(s):  
Diyar Sadiq ◽  
Shivan Saeed ◽  
Wasfiya Muneer
Keyword(s):  
Frequency Response ◽  
Pi Controller

Tuning of PI Controller for A Conical Tank Process with Fuzzy Rules

2014 ◽  
Vol 2 (3) ◽  
pp. 6-10
Author(s):  
Gireesh Namineni ◽  
◽  
G. Sreenivasulu ◽  
Keyword(s):  
Pi Controller ◽  
Fuzzy Rules
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