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PROJECT No. 18/ 01.10.2015

 

 

 

High precision low-cost INS/GPS integrated navigation systems, based on intelligent data fusion algorithms

 

Project Structure

 

 

Stages/Activities

Deadlines

2015 Stage I: Documentation on the GPS, strap-down inertial navigators and their associated errors, on the INS/GPS synergic architectures, and on the data fusion methods in these systems - concepts, principles, implementation, existing methods of modeling and analysis.

30.12.2015

I.1. Concepts for modeling and analysis of GPS, strap-down inertial navigators and their associated errors.

I.2. Conceptual models for the architectures of the integrated INS/GPS navigation systems.

I.3. Conceptual models for the data fusion algorithms in the integrated INS/GPS navigation systems.

I.4. Initiation website and dissemination through publication.

2016 Stage II: Development of strap-down inertial navigation algorithms, error models for them and software tools to implement developed models - validation by numerical simulation. Creating data fusion algorithms in smart structures for integrating INS/GPS and software tools for their implementation.

30.12.2016

II.1. Strap-down inertial navigation algorithm for global positioning based on the quaternionic calculus of the attitude - error model development. Matlab subroutines with graphical interface for algorithm and for its error model - functionality testing.

II.2. Strap-down inertial navigation algorithm for global positioning based on the matriceal calculus of the attitude - error model development. Matlab subroutines with graphical interface for algorithm and for its error model - functionality testing.

II.3. Structural design of data fusion intelligent algorithm based on an adaptive neuro-fuzzy inference system and Kalman filtering, for the prediction of the positioning errors during GPS signal outages at the quaternionic global inertial positioning - software implementations and functionality testing.

II.4. Structural design of data fusion intelligent algorithm based on an adaptive neuro-fuzzy inference system and Kalman filtering, for the prediction of the positioning errors during GPS signal outages at the matriceal global inertial positioning - software implementations and functionality testing.

II.5. Structural design of data fusion intelligent algorithm based on an adaptive neuro-fuzzy inference system to predict the mislaid GPS reading data at the quaternionic global inertial positioning - software implementations and functionality testing.

II.6. Structural design of data fusion intelligent algorithm based on an adaptive neuro-fuzzy inference system to predict the mislaid GPS reading data at the matriceal global inertial positioning - software implementations and functionality testing.

II.7. Large scale dissemination of results.

2017 Stage III: Experimental development of integrated INS/GPS navigators’ hardware structures using low-cost inertial measurement unit with MEMS sensors. Experimental tuning and evaluation through numerical simulation of the data fusion algorithms in INS/GPS integrated structures. Functionality demonstration for INS/GPS developed integrated navigators through testing and experimental validation in various detection scenarios.

30.09.2017

III.1. Design and experimental development of integrated INS/GPS navigators’ hardware structures using low-cost inertial measurement unit with MEMS sensors.

III.2. Tuning with experimental acquired data and evaluation through numerical simulation of the data fusion algorithms in INS/GPS integrated structures.

III.3. Demonstration of functionality and performance evaluation of INS/GPS integrated navigators for open sky detection with good GPS signals.

III.4. Demonstration of functionality and performance evaluation of INS/GPS integrated navigators for various detection scenarios with GPS signal outage.

III.5. Testing of INS/GPS integrated navigators for INS detection only, to evaluate the navigation performance if they are to be used without access to the GPS signals.

III.6. Dissemination through publication.

III.7. Improving the master course: Integrated aerospace navigation systems.