Optimization method for the layout of IMUs in deformation detection system of warship based on genetic algorithm
The deformation of warship will influence the accuracy of angular position about the equipment in the deck. IMUs(Inertial Measurement Unit, laser gyros and accelerometers) are installed on various points of the warship to estimate the deformations. Genetic algorithm is utilized for the optimization of the layout of the IMUs, the fitness function of the genetic algorithm is built by the ship's Modal Assurance Criterion (MAC) matrix. Results show that the Genetic algorithm based method presented in this paper can give an optimal layout of the IMUs for detecting the deformation of the warship.
Vital Advanced Inertial Network
Many aircraft sensors and weapons require accurate, local, time-varying inertial information relative to a principal reference, usually the main inertial navigation system. This data may be required during severe manoeuvres and despite other structural deflections due to aircraft aging, changing stores configurations, and fuel burnoff. Past solutions to this problem have included co-location, structural stiffening, or transfer alignment using high cost navigation grade inertial sensors. The Vital Advanced Inertial Network (VAIN) program sponsored by the Reference Systems Branch of the Wright Laboratory Avionics Directorate, is developing and testing an advanced inertial network to support precision targeting and weapon delivery under the influence of structural bending. This paper addresses some of the VAIN work and describes the sensor requirements for and performance of a transfer alignment based algorithm for compensating for aircraft flexure using low cost inertial sensors.
Simulation and control of hybrid renewable energy system connected to the grid
This paper presents a control and simulation of hybrid renewable energy system connected to the grid. The studied system includes a photovoltaic panel, synchronous permanent magnet generator based wind turbine, and a battery for storage energy. The PV array and wind systems are connected to the common DC bus by a boost converter. The battery is connected by a bi-directional DC/DC converter, and then integrated into the AC utility grid via a common DC/AC inverter. In order to extract the maximum energy, a simulation study has been carried out according to the meteorological conditions (wind speed and variable solar irradiance) while maintaining power quality at a satisfactory level. In order to capture the maximum power, a MPPT algorithm is applied for both wind turbine and photovoltaic panel. The modeling and simulation of the whole system has been performed under Matlab/Simulink environment. The obtained results show that the current and the voltage of grid side are sinusoidal and alternative forms, and the power injected to the grid is around the power produced by the hybrid system.