Hybrid multi-strategy improved washout algorithm

This study addresses the critical impact of parameter selection on the performance of washout algorithms in flight simulation, with a focus on optimizing the natural cut-off frequency of washout filters. An improved Condor algorithm is proposed to enhance the classical washout algorithm’s effectiveness by overcoming limitations of initialization and local optimization in the traditional approach. The improvements include the integration of Circle chaotic mapping, a sine-cosine search strategy, and a variable-factor weighted learning strategy. Using human perception error as the fitness function, the optimization was validated through a MATLAB-based simulation model and a motion test platform. Results demonstrate a 54.2% increase in washout space utilization, improved kinematic fidelity, reduced error peaks, minimized phase delays, and better conservation of motion space.