Research on integrated navigation algorithm based on ANFIS

Tianlai Xu; Yang Tian

doi:10.4028/www.scientific.net/AMM.88-89.438

Research on integrated navigation algorithm based on ANFIS

Tianlai Xu^*
, Yang Tian

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Combination of Global Positioning System (GPS) and Inertial Navigation System (INS) can improve the navigation performance that is superior to either one. This paper proposed and discussed an INS/GPS integrated navigation method based on adaptive neuro-Fuzzy Inference System (ANFIS) to fuse INS and GPS data. In this method, an ANFIS network was trained to mimic the error dynamical model of INS when GPS signals were available. If GPS outages occur, the trained ANFIS network is utilized to bridge the GPS outages. Simulations in INS/GPS integrated navigation system show the proposed method can reduce the positioning error during GPS outages.

Original language	English
Title of host publication	Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011
Pages	438-441
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.88-89.438
State	Published - 2011
Event	International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011 - Hangzhou, China Duration: 13 Sep 2011 → 16 Sep 2011

Publication series

Name	Applied Mechanics and Materials
Volume	88-89
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011
Country/Territory	China
City	Hangzhou
Period	13/09/11 → 16/09/11

Keywords

ANFIS
INS
Integrated navigation system
Kalman filter

Access to Document

10.4028/www.scientific.net/AMM.88-89.438

Cite this

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title = "Research on integrated navigation algorithm based on ANFIS",

abstract = "Combination of Global Positioning System (GPS) and Inertial Navigation System (INS) can improve the navigation performance that is superior to either one. This paper proposed and discussed an INS/GPS integrated navigation method based on adaptive neuro-Fuzzy Inference System (ANFIS) to fuse INS and GPS data. In this method, an ANFIS network was trained to mimic the error dynamical model of INS when GPS signals were available. If GPS outages occur, the trained ANFIS network is utilized to bridge the GPS outages. Simulations in INS/GPS integrated navigation system show the proposed method can reduce the positioning error during GPS outages.",

keywords = "ANFIS, INS, Integrated navigation system, Kalman filter",

author = "Tianlai Xu and Yang Tian",

year = "2011",

doi = "10.4028/www.scientific.net/AMM.88-89.438",

language = "英语",

isbn = "9783037852361",

series = "Applied Mechanics and Materials",

pages = "438--441",

booktitle = "Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011",

note = "International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011 ; Conference date: 13-09-2011 Through 16-09-2011",

}

Xu, T & Tian, Y 2011, Research on integrated navigation algorithm based on ANFIS. in Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011. Applied Mechanics and Materials, vol. 88-89, pp. 438-441, International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011, Hangzhou, China, 13/09/11. https://doi.org/10.4028/www.scientific.net/AMM.88-89.438

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T1 - Research on integrated navigation algorithm based on ANFIS

AU - Xu, Tianlai

AU - Tian, Yang

PY - 2011

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N2 - Combination of Global Positioning System (GPS) and Inertial Navigation System (INS) can improve the navigation performance that is superior to either one. This paper proposed and discussed an INS/GPS integrated navigation method based on adaptive neuro-Fuzzy Inference System (ANFIS) to fuse INS and GPS data. In this method, an ANFIS network was trained to mimic the error dynamical model of INS when GPS signals were available. If GPS outages occur, the trained ANFIS network is utilized to bridge the GPS outages. Simulations in INS/GPS integrated navigation system show the proposed method can reduce the positioning error during GPS outages.

AB - Combination of Global Positioning System (GPS) and Inertial Navigation System (INS) can improve the navigation performance that is superior to either one. This paper proposed and discussed an INS/GPS integrated navigation method based on adaptive neuro-Fuzzy Inference System (ANFIS) to fuse INS and GPS data. In this method, an ANFIS network was trained to mimic the error dynamical model of INS when GPS signals were available. If GPS outages occur, the trained ANFIS network is utilized to bridge the GPS outages. Simulations in INS/GPS integrated navigation system show the proposed method can reduce the positioning error during GPS outages.

KW - ANFIS

KW - INS

KW - Integrated navigation system

KW - Kalman filter

UR - https://www.scopus.com/pages/publications/80052943363

U2 - 10.4028/www.scientific.net/AMM.88-89.438

DO - 10.4028/www.scientific.net/AMM.88-89.438

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SN - 9783037852361

T3 - Applied Mechanics and Materials

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EP - 441

BT - Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011

T2 - International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011

Y2 - 13 September 2011 through 16 September 2011

ER -

Research on integrated navigation algorithm based on ANFIS

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