Parameters identification of valve dynamic damping system based on LuGre model and adaptive chaotic particle swarm algorithm

In this paper, the dynamic parameters of the valve test system are identified based on a novel adaptive logistic chaotic particle swarm optimization. Three new aspects are considered in the new identification algorithm to enhance global search capability and improve identification accuracy: first, modifying particle formula, second, adding chaos to the iterative process, third, adjusting inertia weight and acceleration coefficients adaptively in the particle equations. The experimental results demonstrate that the adaptive logistic chaotic particle swarm optimization algorithm is more effective to apply for parameters identification than other algorithms.