Solar system GSM/INS positioning system with fuzzy control

Author

Chen, Jade Hsin-Yuan ; Examiner, Patent

Author_Institution

Intellectual Property Office, Taichung, Taiwan

fYear

2014

Firstpage

209

Lastpage

214

Abstract

A New concept regarding Solar system GSM/INS integration, based on artificial intelligence, i.e. adaptive neuro-fuzzy inference system (ANFIS) is presented. The SOLAR SYSTEM GSM system with fuzzy logic is used as reference during the time it is available. The data from SOLAR SYSTEM GSM and inertial navigation system (SOLAR SYSTEM INS) are used to build a structured knowledge base consisting of behavior of the SOLAR SYSTEM INS in some special scenarios of vehicle motion. With the same data, the proposed fuzzy system is trained to obtain the corrected navigation data. In the absence of the SOLAR SYSTEM GSM information, the system will perform its task only with the data from SOLAR SYSTEM INS and with fuzzy correction algorithm.

Keywords

aerospace control; cellular radio; fuzzy control; fuzzy logic; fuzzy neural nets; fuzzy reasoning; inertial navigation; position control; radionavigation; solar system; ANFIS; adaptive neuro-fuzzy inference system; artificial intelligence; fuzzy control; fuzzy logic; inertial navigation system; solar system GSM positioning system; solar system INS positioning system; Accuracy; Base stations; GSM; Mathematical model; Reliability; Solar system; Vehicles; ANFIS; Fuzzy Correction; SOLAR SYSTEM GSM/INS;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Control Conference (CACS), 2014 CACS International

Print_ISBN

978-1-4799-4586-3

Type

conf

DOI

10.1109/CACS.2014.7097189

Filename

7097189