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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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. |
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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 |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Sarabakha, Andriy Fu, Changhong Kayacan, Erdal Kumbasar, Tufan |
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Article |
author |
Sarabakha, Andriy Fu, Changhong Kayacan, Erdal Kumbasar, Tufan |
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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 |
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2020 |
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https://hdl.handle.net/10356/140065 |
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1681056309145763840 |