Deep-sea vessels use various Navigational aids like AIS (automatic identification system), ECDIS (electronic chart display and information system), radar, GPS (global positioning system), and etc. vessels use AIS to communicate their Navigational characteristics, destinations, and load information. Such data are very helpful for vessel officers; therefore, AIS can be used for communicating the name and position of the vessel as well as Navigational signs in the port area. So, this system is very helpful in improving the quality of pilotage as well as improving the safety of Navigation in canals like Khur Musa.

In this study, on the basis of proportional Navigation strategy, design of explicit optimal guidance law for missiles tracking maneuvering targets in three-dimensional space using model predictive Control is addressed. The model predictive Control employs a model to predict the future process behavior and calculates an optimal Control input at each time step through the optimization of an objective function. Generalized model predictive Control approach, employed in this study, solves the optimization problem offline to obtain the closed form optimal Control law. In this paper, firstly, the equations describing the missile-target relative motion kinematics are formulated. Then, the optimal Control law, as an explicit function of the state vector is obtained. The evaluation of the proposed scheme is studied by the comparison of the simulation results with the augmented proportional Navigation system. Simulation studies, in three different scenarios, demonstrates appropriate performance for the proposed guidance system specially against maneuvering targets.

A common method for Controlling a group of parallel converters in decentralized Control strategy structure in an island microgrid, the use is the droop-down characteristics of frequency ω-P and voltage E-Q. However, the problem with using this method is that the reactive power is not properly distributed (in proportion to the capacity of the micronutrients) between the micronutrients, which may lead to overload in the converters. Microgrids may also suffer from dynamic stability problems such as power fluctuations, which can be increased by switching between active and reactive power Control. To avoid this problem, the X / R ratio of transmission lines is an important parameter that should be carefully considered in the design of micronutrient Controllers. By linearizing and simplifying conditions, the Control system conversion function model becomes a single input-single output system, which is efficient enough to show the relationship between Control parameters such as slope of droop characteristics and derivative sentences, virtual impedance, and voltage Controllers. Using this model, stability conditions for different parameters are analyzed. Also, to improve power distribution stability, common droop strategies are modified by adjusting the slope as well as adding nonlinear sentence sections. This approach reduces the coupling between active and reactive power Control and reduces the dependence of power distribution on grid parameters such as the X / R ratio. To evaluate the reliability of the proposed model, the simulation results in a sample island microgrid in MATLAB software are presented.

The increase in capability and performance of digital cameras, processors and image processing algorithms has caused vision-aided Navigation of aerial vehicles to be a hot research of interest. In order to determine pose parameters form vision-aided Navigation methods, it is common to use automatic image registration using information of reference databases. However, solving registration issue in automatic navigating of aerial vehicles has been considered a complex manner. In this paper, a novel method for vision-aided Navigation of aerial vehicles to increase reliability and accuracy of geo-referencing aerial image is proposed. To have robust evaluation, different aerial images with variety of conditions are utilized to assess this method. Obtained results show high performance of proposed method to solve issues related to automatic GEO-referencing of aerial images.

The Inertial Navigation system is an ideal solution for motion detection with high accuracy with fast dynamics, but the precise location and status of the system output can be significantly reduced over time. On the other hand, global positioning system is able to determine its position with an average accuracy around the earth. But the GPS alone isn’t enough for Navigation of orbital modules, because it doesn’t have situation of orbital modules. The integrated inertial Navigation system with global positioning system is a low cost method of providing an accurate and reliable Navigation system in the civilian and military aerospace applications. In this paper, using the extended Kalman filter, we design an algorithm to estimate error of sensors, Navigation and GPS. This method can be widely used in the integrated Navigation INS / GPS in aerospace applications and provides an accurate Navigation.