Improved whale optimization-based parameter identification algorithm for dynamic deformation of large ships

Abstract

In the field of ship deformation measurement, the inertial matching method has become a current research hotspot due to its advantages of high accuracy, easy implementation, and strong real-time performance. However, the parameters of dynamic deformation are affected by the environment, which severely restricts the further improvement of its accuracy. In response to this problem, this paper derives the mapping mechanism between the angular velocity difference and the dynamic deformation angle. And the data in the sliding window is used to establish the objective function on this basis. After that an improved whale optimization algorithm (IWOA) based on logic mapping is designed to perform parameters identification. Simulation and turntable experiment results show that the algorithm proposed in this paper can effectively identify the parameters. The results of the shipboard experiment show that the measurement accuracy of the deformation angle is significantly improved after parameters identification, and the RMS of estimation errors for the pitch, roll and yaw are 10.04′′,12.16′′,9.07′′ respectively.