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.
DECK DEFORMATION MONITORING BASED ON MULTI-IMU FUSION
The precision of the shipborne weapon system was affected greatly by the deck deformation of large size ship.Based on multi-IMU(inertial measuring unit) data fusion,a method was proposed for deck deformation monitoring.The model of deformation measurement was developed using the measured data of a ship.The least square estimation was applied to the analysis of deck deformation.Simulation results show that by processing the output signals of the IMU,it is feasible to monitor the deck deformation real time.The disposition of IMU has a great impact on the accuracy of deformation estimation.The arrangement of IMU on the deck is according to the layout and precision of the shipborne weapon system.
Integrated inertial network
Advanced aircraft will require that inertial information be available continuously and deliver acceptable performance despite aircraft maneuvers, fuel burn off, changing stores configurations, and subsequent structural bending. A trade study was performed to evaluate architecture concepts against more traditional approaches which rely on dedicated sensors optimized for specific applications. The concept of using differential inertial filters (DIFs) to estimate aircraft flexure was developed and evaluated using analysis, simulation and King Air flight tests. Results from the architecture trade study and DIF evaluation results were used to select a recommended architecture and identify integrated inertial network (IIN) benefits. Culmination of the program resulted in the development of a technology roadmap describing the research and development efforts required to ensure successful implementation in a military aircraft.<<ETX>>