An Improved Cuckoo Search Algorithm of Boundary Search and Variable Step-Size for Gravitational Reference Sensor Parameters Identification

Abstract

At this stage, in order to ensure the effective work of the gravitational reference sensor, it’s necessary to ensure the residual velocity of the test mass(mass = 1.9 kg) after being released by the grabbing positioning and release mechanism is less than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5~\mu \text{m}$ </tex-math></inline-formula> /s, so that it can be normally captured by the electrode housing. Therefore, based on mathematical model of the release mechanism electro-mechanical dynamics, this paper conducts related research on the relationship between the residual speed of the test mass and the system parameters of the grabbing positioning and release mechanism. In order to solve the problem of difficulty in identifying model parameters, this paper uses the cuckoo search algorithm to identify model parameters, and improves the search efficiency and success rate by improving the step-length control factor and search strategy. Simulation experiments show that under the same number of iterations, the improved algorithm has achieved an effective improvement in the identification success rate and convergence accuracy of the original algorithm. Through the identification results, the residual speed of the test mass can be derived, verify whether the designed system meets the requirements, and establish an evaluation and guidance system for the system design.