Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs

This paper aims to provide a clear explanation of the role of the footprint of uncertainty (FOU) parameters on the control signal generation and, thus, to increase the interpretability of specially structured interval type-2 (IT2) fuzzy logic controllers, namely single input IT2 fuzzy PID (SI-IT2-FP...

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Main Authors: Sarabakha, Andriy, Fu, Changhong, Kayacan, Erdal, Kumbasar, Tufan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/140065
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1400652020-05-26T06:11:44Z Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs Sarabakha, Andriy Fu, Changhong Kayacan, Erdal Kumbasar, Tufan School of Mechanical and Aerospace Engineering ST Engineering–NTU Corporate Lab Engineering::Mechanical engineering Design and Deployment Interval Type-2 (IT2) Fuzzy Logic Control This paper aims to provide a clear explanation of the role of the footprint of uncertainty (FOU) parameters on the control signal generation and, thus, to increase the interpretability of specially structured interval type-2 (IT2) fuzzy logic controllers, namely single input IT2 fuzzy PID (SI-IT2-FPID) controller. In this context, we extend the analysis performed for SI-IT2-FPID controllers by providing the effect of the FOU parameters on control surface (CS) generation. We show that, by only adjusting a single parameter that shapes the FOU, it is possible to generate commonly employed CSs without a requirement of an optimization assistance. In order to validate our theoretical analysis, we present comparative real world quadcopter flight tests. The real-time experimental results show that the SI-IT2-FPID controller can achieve better control performance in the presence of uncertainties and strong wind conditions when compared to its type-1 and conventional counterparts. We believe that the results of this study will open the doors to a wider use of SI-IT2-FPID controllers in real world control applications as the proposed structure is easy to design and feasible to deploy, especially in real-time control systems. 2020-05-26T06:11:44Z 2020-05-26T06:11:44Z 2017 Journal Article Sarabakha, A., Fu, C., Kayacan, E., & Kumbasar, T. (2018). Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs. IEEE Transactions on Industrial Electronics, 65(6), 5069-5077. doi:10.1109/TIE.2017.2767546 0278-0046 https://hdl.handle.net/10356/140065 10.1109/TIE.2017.2767546 2-s2.0-85032732564 6 65 5069 5077 en IEEE Transactions on Industrial Electronics © 2017 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Design and Deployment
Interval Type-2 (IT2) Fuzzy Logic Control
spellingShingle Engineering::Mechanical engineering
Design and Deployment
Interval Type-2 (IT2) Fuzzy Logic Control
Sarabakha, Andriy
Fu, Changhong
Kayacan, Erdal
Kumbasar, Tufan
Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
description This paper aims to provide a clear explanation of the role of the footprint of uncertainty (FOU) parameters on the control signal generation and, thus, to increase the interpretability of specially structured interval type-2 (IT2) fuzzy logic controllers, namely single input IT2 fuzzy PID (SI-IT2-FPID) controller. In this context, we extend the analysis performed for SI-IT2-FPID controllers by providing the effect of the FOU parameters on control surface (CS) generation. We show that, by only adjusting a single parameter that shapes the FOU, it is possible to generate commonly employed CSs without a requirement of an optimization assistance. In order to validate our theoretical analysis, we present comparative real world quadcopter flight tests. The real-time experimental results show that the SI-IT2-FPID controller can achieve better control performance in the presence of uncertainties and strong wind conditions when compared to its type-1 and conventional counterparts. We believe that the results of this study will open the doors to a wider use of SI-IT2-FPID controllers in real world control applications as the proposed structure is easy to design and feasible to deploy, especially in real-time control systems.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Sarabakha, Andriy
Fu, Changhong
Kayacan, Erdal
Kumbasar, Tufan
format Article
author Sarabakha, Andriy
Fu, Changhong
Kayacan, Erdal
Kumbasar, Tufan
author_sort Sarabakha, Andriy
title Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
title_short Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
title_full Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
title_fullStr Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
title_full_unstemmed Type-2 fuzzy logic controllers made even simpler : from design to deployment for UAVs
title_sort type-2 fuzzy logic controllers made even simpler : from design to deployment for uavs
publishDate 2020
url https://hdl.handle.net/10356/140065
_version_ 1681056309145763840