Design and implementation of robust multivariable PI-like fuzzy logic controller for aerodynamic plant

Yordanova, Snejana; Haralanova, Elena

doi:10.1504/ijaip.2011.043430

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Cited by 5 publications

(2 citation statements)

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“…M Shamsuzzoha and S. Skogestad [3] discussed about the set-point overshoot method for a closed loop PID controller. S Yordanova and E Haralanova [4] designed and implemented a robust multivariable PI fuzzy controller for an aerodynamic system. F. Dimeas and N. Aspragathos [6] proposed a Fuzzy Learning Variable Admittance Control for a Human Robot system.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

Swain¹,

Khuntia²

2017

ijacsa

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Section: Introductionmentioning

confidence: 99%

Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

Swain¹,

Khuntia²

2017

ijacsa

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“…Skogestad (2010) pointed out the tuning for smooth PID control with acceptable disturbance rejection. Yordanova and Haralanova (2011) implemented the designed and implemented a robust multivariable PI like fuzzy logic controller for aerodynamic plant. Di Ruscio (2010) discussed on tuning PI controllers for integrating and time delay systems.…”

Section: Introductionmentioning

confidence: 99%

Improving the performance indices of a dynamic system using adaptive learning controllers

Swain

Khuntia

2017

Int. j. adv. appl. sci.

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In this paper, the angle of attack of an aircraft is controlled by using soft computing techniques like Genetic Algorithm (GA), Fuzzy Model Reference Learning Controller (FMRLC) and Radial Basis Function Neural Controller (RBFNC) and the performance indices like Mean Square Error (MSE), Integral Square Error (ISE), and Integral Absolute Time Error (IATE) etc. of the dynamic system is improved. The result is compared with the conventional techniques like Tyreus-Luyben (TL), Ziegler-Nichols (ZN) and Interpolation Rule (IR) for tuning the PID controller. It was established that the errors by using soft computing techniques are very less as compared to the conventional techniques thereby improving the performance indices of the dynamic system.

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A Fuzzy Controller for Stabilization of Asynchronous Machine

Harrouz

Nourdine

Kayışlı

et al. 2018

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

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Design and implementation of robust multivariable PI-like fuzzy logic controller for aerodynamic plant

Cited by 5 publications

References 11 publications

Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

Improving the performance indices of a dynamic system using adaptive learning controllers

A Fuzzy Controller for Stabilization of Asynchronous Machine

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