Control of human-machine interaction for wide area search munitions in the presence of target uncertainty

摘要

In this report we describe the progress in developing a control architecture for human-in-the-loop wide area search munitions to reduce operator errors in the presence of unreliable automation and operator cognitive limitations. An optimal input tracking controller with adaptive automation uncertainty compensation and real-time workload assessment is developed to improve the system performance. Extensive simulations based on the experimental data involving 12 subjects demonstrate effectiveness of the presented controller.