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The MEMS technology has experienced an amazing growth since the mid-20th century, becoming a major presence in current technologies. The MEMS devices refers to microstructures that are based on both electrical and mechanical components. Given their multiple applicability, made the demand on market to increase, resulting the rapid development of this technology. With a wide opening in the field of navigation, MEMS devices are based on accelerometers and gyros, but also on sensors such as magnetometers, environmenta...

By definition, the monitoring of the in situ behavior of the constructions includes the follow-up and evaluation of their technical and functional state and the interventions on them in order to remedy the behavioral deficiencies found. The knowledge of the causal and conditional laws of appearance and development of the behavioral phenomena of the constructions allowed and allows the definition of some behavioral properties. These properties can be defined qualitatively, by attributes, or quantitatively, by sizes...

The paper presents a way to increase the performance of inertial systems used to determine the aerospace vehicles' attitude based on low-cost MEMS gyro sensors. A vital role in the design process of the inertial navigation system is played by sensors distribution inside the inertial detection unit. This distribution can be different from case to case depending on the type of sensors or the signal processing algorithm used. The novelty of the proposed system consists in the using on each axis of the navigator inert...

The work exposes the design and experimental testing results of a low-cost INS/GPS navigator with a data fusion algorithm based on an adaptive neuro fuzzy inference system (ANFIS). In the paper, the structural design of the MEMS-INS/GPS integrated system mechanism and the training procedure of the fuzzy inference system are firstly exposed. Further, the evaluation with experimental data of the integrated navigator based ANFIS algorithm is presented. The integrated navigator proposed scheme works in two different p...

The paper presents the evaluation with experimental data of an ANFIS based INS/GPS integrated navigator. The experimental model of the INS/GPS navigator has been manufactured in the Aerospace Engineering laboratories of the University of Craiova, Romania, during a research project. This hardware structure was developed around an inertial module (inertial detection unit) incorporating three analogous miniaturized inertial sensors (LPY510AL - Biaxial analog gyro, LPR510AL - Biaxial analog gyro, MMA7361L ? Three-axia...

The paper exposes the tuning and the evaluation with experimental data of an algorithm used to predict the lost data in the GPS readings due to the acquisition rate significantly different from that of the Inertial Navigation System (INS). The developed algorithm provides a real time prediction of the GPS data at the same rate with the INS data in order to be ready for the processing step, which realizes the fusion of the two systems. To acquire the data, an INS/GPS hardware structure based MEMS sensors has been d...

The paper presents a MEMS-INS/GPS data fusion algorithm based on an adaptive neuro fuzzy inference system for the prediction of the navigation solution errors during GPS outages. The study was performed during the second stage of a research project related to the structural design of a 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. In this stage, the project research team targeted to r...

A methodology to obtain an intelligent miniaturized three-axial gyro detection unit is exposed in this paper. The presented mechanism is based on the on-line estimation and compensation of the sensors errors generated by the environmental temperature variation. Because these kind of errors are in a strongly nonlinear complex dependence of the values of environmental temperature and of the angular speed exciting the sensor on each of the three sensing axis, their correction may not be done off-line and requires an ...

The paper presents a prediction algorithm for the low rate GPS data in order to fuse them with the high rate Inertial Navigation System (INS) data; a major shortcoming in the integration process of the two navigation systems is due to the significant difference in theirs data rates in the reading processes. The algorithm is based on a smart mechanism based on adaptive neuro-fuzzy inference systems (ANFIS) concept, and includes an adaptive network of fuzzy inference systems. Under the form of a five layer feed-forw...