The objective of this research is to model the dynamic
characteristics of lead-acid batteries taking into account their
fundamental phenomena (the electric double-layer, the charge
transfer and diffusion phenomenon due to oxidation and reduction
reactions). The value of the equivalent circuit elements used in
modeling is determined experimentally using a pulsed discharge of
the battery.
Precise point positioning technique uses recursive algorithms to solve the navigation
problem. In fact, traditional least square method doesn’t meet the requiredassessments of
processing speed, and quality in different geodetic and surveying applic
ations,due tobig
amount of output processing data provided by global navigation satellite systems.
Extended Kalman filter is considered as optimal solution approach of the navigation
problem. This filter requiresthe knowledge of measurements, its observational models, and
physical state for estimation problem like: (receiver dynamic, received signals characters,
and suitable estimation of its initial conditions).
Research refers to a mathematical suggestion, which reduce the negative effect of
convergence time at EKF initial conditions. This work also shows how a position
estimation accuracy affected by the suggested modification of using EKF in PPP, and
supporting the use ofthis modification in position estimation field, in spite of increasing
processing time.
This article reviews the structure of an integrated navigation system made up of unit inertial sensors manufactured by MEMS technology, a GPS Receiver unit, magnetic compasses manufactured by MEMS technology, and a high barometric sensor. The integra
ted system is built using an Extended Kalman Filter (EKF). This reviewing is performed with the use of a closed-loop system that has simple integration namely the Loosely Coupling Integration.
After conducting several air tests to collect real navigational data, antipersonnel navigational data has been used to do the integrated navigation system analysis with EKF environment in the software Matlab.
It has been noticed after the analysis that the complementary horizontal navigation system error does not exceed 50 m. With deliberate withholding of GPS data for different periods in order to test the performance of the integrated navigation system in case of withholding the GPS signal, we have found that the integrated navigation system achieves good accuracy, where the horizontal error does not exceed 200 m value when the withholding GPS data for 120 seconds. This can be considered as small and acceptable values compared with the horizontal error value for inertial navigation unit stim300 when operating independently of up to 8200 m.
Geodetic monitoring networks should check the requirements of precision, stability, durability, strength, sensitivity and cost. Depending on this basis design the geodetic monitoring networks. Terrestrial surveying instruments adjust kinematic proces
ses by high frequency measurements; therefore can select system state and its precision in real time depending on appropriate deformation model.
In this research, liner kalman filter will be evaluated to improve the performance of geodetic monitoring networks, especially the currently used in monitoring of strategic infrastructure in the country, and achieve the highest level of security in the monitoring and development level of reliability and durability where, and apply it to the observed kinematic situation in 16 tishreen dam in lattakia city. Then check the efficiency of the evaluation by applied standards reliability, and the appropriateness of the application of kalman filter in deformation analysis. Finally, this research offers a set of conclusions and recommendations.
