Recursive identification for choke finger system in wind tunnel

Abstract

Choke finger system represents a vital piece of component within a wind tunnel system. Real time grasping the dynamic characteristics of the choke finger system accurately plays an important role in improving the controller design of a wind tunnel system. This research focuses on recursive identifying the choke finger system of the wind tunnel in China Aerodynamics Research and Development Center. According to the analysis results of experiment data, the choke finger system is expressed by a block-oriented model. Based on the model structure, a recursive algorithm is proposed to on-line estimate the unknown model parameters. The algorithm is modified according to the convergence analysis, which enlarges the convergence domain. Applying the proposed algorithm to the wind tunnel test, reasonable parameter estimates and accurate system output estimates are obtained from identification results.