Levy guided Firefly Algorithm based tuning of decentralised PI Controller of Nonlinear Multivariable system - Coal Gasifier

IFAC Proceedings Volumes ◽

10.3182/20140313-3-in-3024.00202 ◽

2014 ◽

Vol 47 (1) ◽

pp. 127-134 ◽

Author(s):

R. Kotteeswaran ◽

L. Sivakumar

Keyword(s):

Firefly Algorithm ◽

Pi Controller ◽

Multivariable System ◽

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Performance Assessment of MOFA Based Decentralized PI Controller of Fluidized Bed Coal Gasifier

2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA) ◽

10.1109/icmica48462.2020.9242900 ◽

2020 ◽

Author(s):

Kotteeswaran Rangasamy ◽

G. Sivagurunathan ◽

Rangam Vijaya Ramraj

Keyword(s):

Performance Assessment ◽

Fluidized Bed ◽

Pi Controller ◽

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Partial-retuning of decentralised PI controller of nonlinear multivariable process using firefly algorithm

2013 International Conference on Human Computer Interactions (ICHCI) ◽

10.1109/ichci-ieee.2013.6887816 ◽

2013 ◽

Author(s):

Kotteeswaran Rangasamy ◽

Lingappan Sivakumar

Keyword(s):

Firefly Algorithm ◽

Pi Controller ◽

Multivariable Process

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Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm

2017 6th International Conference on Systems and Control (ICSC) ◽

10.1109/icosc.2017.7958699 ◽

2017 ◽

Author(s):

S. Bazi ◽

R. Benzid ◽

MS. Nait Said

Keyword(s):

Genetic Algorithm ◽

Firefly Algorithm ◽

Controller Design ◽

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A Novel Bat Algorithm Based Re-tuning of PI Controller of Coal Gasifier for Optimum Response

Mining Intelligence and Knowledge Exploration - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03844-5_51 ◽

2013 ◽

pp. 506-517 ◽

Author(s):

Rangasamy Kotteeswaran ◽

Lingappan Sivakumar

Keyword(s):

Bat Algorithm ◽

Pi Controller ◽

Coal Gasifier ◽

Optimum Response

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Modelling and Simulation of Monopolar HVDC Transmission System Feeding a Strong AC Network with Firefly Algorithm based Optimal PI Controller

International Journal of Computer Applications ◽

10.5120/17850-8799 ◽

2014 ◽

Vol 102 (10) ◽

pp. 13-19 ◽

Author(s):

S. Singaravelu ◽

S. Seenivasan

Keyword(s):

Firefly Algorithm ◽

Pi Controller ◽

Transmission System ◽

Modelling And Simulation ◽

Hvdc Transmission

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Optimal Partial-Retuning of Decentralised PI Controller of Coal Gasifier Using Bat Algorithm

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03753-0_66 ◽

2013 ◽

pp. 750-761 ◽

Author(s):

Rangasamy Kotteeswaran ◽

Lingappan Sivakumar

Keyword(s):

Bat Algorithm ◽

Pi Controller ◽

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Firefly Algorithm Tuned PI Controller for Pressure Regulation in PEM Fuel Cells

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2018.7164 ◽

2018 ◽

Vol 15 (3) ◽

pp. 845-853 ◽

Author(s):

E. A. Mohamed Ali ◽

A. Abudhahir ◽

A. Manivanna Boopathi

Keyword(s):

Firefly Algorithm ◽

Pem Fuel Cells ◽

Pi Controller ◽

Pressure Regulation

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Normalized Normal Constraint Algorithm Based Multi-objective Optimal Tuning of Decentralised PI Controller of Nonlinear Multivariable Process – Coal Gasifier

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03753-0_30 ◽

2013 ◽

pp. 333-344 ◽

Author(s):

Rangasamy Kotteeswaran ◽

Lingappan Sivakumar

Keyword(s):

Pi Controller ◽

Optimal Tuning ◽

Multi Objective ◽

Coal Gasifier ◽

Multivariable Process ◽

Normalized Normal Constraint ◽

Normal Constraint

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Book review: Multivariable System Theory and Design

IEE Proceedings D Control Theory and Applications ◽

10.1049/ip-d.1984.0013 ◽

1984 ◽

Vol 131 (2) ◽

pp. 79

Author(s):

B. Kouvaritakis

Keyword(s):

System Theory ◽

Multivariable System

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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 ◽

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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