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Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs

In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a driver. However, the current laser targeting system has a large delay before obtaining the attitude. So, an adaptive-neuro-fuzzy-based information fusion method is proposed to predict the attitude of a l...

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Detalles Bibliográficos
Autores principales: He, Boning, Zhu, Guoli, Han, Lei, Zhang, Dailin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794758/
https://www.ncbi.nlm.nih.gov/pubmed/33374350
http://dx.doi.org/10.3390/s21010061
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author He, Boning
Zhu, Guoli
Han, Lei
Zhang, Dailin
author_facet He, Boning
Zhu, Guoli
Han, Lei
Zhang, Dailin
author_sort He, Boning
collection PubMed
description In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a driver. However, the current laser targeting system has a large delay before obtaining the attitude. So, an adaptive-neuro-fuzzy-based information fusion method is proposed to predict the attitude of a laser targeting system in real time. In the proposed method, a dual-rate information fusion is used to fuse the information of a laser targeting system and a two-axis inclinometer, and then obtain roll and pitch angles with a higher rate and provide a smoother attitude prediction. Considering that a measurement error exists, the adaptive neuro-fuzzy inference system (ANFIS) is proposed to model the measurement error, and then the ANFIS-based model is combined with the dual-rate information fusion to achieve high performance. Experimental results show the ANFIS-based information fusion can provide higher real-time performance and accuracy of the attitude prediction. Experimental results also verify that the ANFIS-based information fusion can solve the problem of the laser targeting system losing signals.
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spelling pubmed-77947582021-01-10 Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs He, Boning Zhu, Guoli Han, Lei Zhang, Dailin Sensors (Basel) Article In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a driver. However, the current laser targeting system has a large delay before obtaining the attitude. So, an adaptive-neuro-fuzzy-based information fusion method is proposed to predict the attitude of a laser targeting system in real time. In the proposed method, a dual-rate information fusion is used to fuse the information of a laser targeting system and a two-axis inclinometer, and then obtain roll and pitch angles with a higher rate and provide a smoother attitude prediction. Considering that a measurement error exists, the adaptive neuro-fuzzy inference system (ANFIS) is proposed to model the measurement error, and then the ANFIS-based model is combined with the dual-rate information fusion to achieve high performance. Experimental results show the ANFIS-based information fusion can provide higher real-time performance and accuracy of the attitude prediction. Experimental results also verify that the ANFIS-based information fusion can solve the problem of the laser targeting system losing signals. MDPI 2020-12-24 /pmc/articles/PMC7794758/ /pubmed/33374350 http://dx.doi.org/10.3390/s21010061 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
He, Boning
Zhu, Guoli
Han, Lei
Zhang, Dailin
Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title_full Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title_fullStr Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title_full_unstemmed Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title_short Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
title_sort adaptive-neuro-fuzzy-based information fusion for the attitude prediction of tbms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794758/
https://www.ncbi.nlm.nih.gov/pubmed/33374350
http://dx.doi.org/10.3390/s21010061
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