Hull deformation angle measurement algorithm based on improved particle swarm optimization inertia matching

The high precision measurement of hull deformation angle is very important for building uniform space datum of ship. The inertial quantity matching hull deformation measurement method based on the strapdown inertial navigation system is widely used in the hull deformation measurement. Aiming at the difficulties in obtaining model parameters and low accuracy of hull deformation measurement method with inertia matching under dynamic sea conditions, an improved particle swarm optimization (IPSO) algorithm for hull deformation angle measurement with inertia matching was proposed. By introducing dynamic adjustment factor of inertia weight and learning factor of real-time adjustment in particle swarm, the optimization algorithm can improve the convergence of searching parameters of hull deformation angle. Then, the identified deformation angle parameters are used to construct the Kalman filter model of hull deformation angle based on angular rate matching. Finally, the high-precision hull deformation angle is estimated in real time. The simulation results show that the accuracy of hull deformation angle estimation based on the IPSO algorithm is 10% higher than that of the traditional inertia matching method.