A spatial disorientation predictor device to enhance pilot situational awareness regarding aircraft attitude

An effort was initiated at the Armstrong Aerospace Medical Research Laboratory (AAMRL) to investigate the improvement of the situational awareness of a pilot with respect to his aircraft's spatial orientation. The end product of this study is a device to alert a pilot to potentially disorienting situations. Much like a ground collision avoidance system (GCAS) is used in fighter aircraft to alert the pilot to 'pull up' when dangerous flight paths are predicted, this device warns the pilot to put a higher priority on attention to the orientation instrument. A Kalman filter was developed which estimates the pilot's perceived position and orientation. The input to the Kalman filter consists of two classes of data. The first class of data consists of noise parameters (indicating parameter uncertainty), conflict signals (e.g. vestibular and kinesthetic signal disagreement), and some nonlinear effects. The Kalman filter's perceived estimates are now the sum of both Class 1 data (good information) and Class 2 data (distorted information). When the estimated perceived position or orientation is significantly different from the actual position or orientation, the pilot is alerted

Using the Wave Variable Method for a Human-Machine Haptic Interface in the Presence of Time Delay

Even a small amount of time delay in a bilateral teleoperation system will generally degrade the system\u27s performance and cause instability. Consequently, without some form of compensation for time delay, latencies in a teleoperation system would preclude the use of force feedback. Fortunately, there are approaches based on scattering theory and passivity that can compensate for time delay and allow the use of force feedback in teleoperation systems with latencies. In particular, the wave variable method is a passivity- based approach that guarantees stability for any fixed time delay. In this work, the authors take a generalized approach which includes the complete family of scaling matrices. This extended family of scaling matrices is used in an experiment with human subjects and a PHANToM Omni haptic teleoperation system. The experiment will compare the raw data with the users\u27 opinions in order to determine the best set of scaling matrices for the given task

A review of teleoperation system control

ABSTRAC

Quantitative Model of the Human- Machine Interaction and Multi-Task Performance: A Strategy Function and the Unity Model Paradigm

A human–machine-interaction (HMI) model is developed for the human operator (HO) performing five simultaneous tasks and characterized by a strategy function. Five levels of total machine-initiated baud rate Formula Not Shown are generated by the multi-attribute task battery (MATB) and five HO baud rates Formula Not Shown are then recorded. Total baud ratio Formula Not Shown is defined as the ratio of Formula Not Shown to Formula Not Shown . Results indicate that with increasing Formula Not Shown levels: (1) there is an overall increase in Formula Not Shown , and (2) there is an overall decrease in Formula Not Shown . These results are due to a decreasing HMI performance and divergence of the strategy function from a unity model paradigm

Quantitative Model of the Human- Machine Interaction and Multi-Task Performance: A Strategy Function and the Unity Model Paradigm

A human–machine-interaction (HMI) model is developed for the human operator (HO) performing five simultaneous tasks and characterized by a strategy function. Five levels of total machine-initiated baud rate Formula Not Shown are generated by the multi-attribute task battery (MATB) and five HO baud rates Formula Not Shown are then recorded. Total baud ratio Formula Not Shown is defined as the ratio of Formula Not Shown to Formula Not Shown . Results indicate that with increasing Formula Not Shown levels: (1) there is an overall increase in Formula Not Shown , and (2) there is an overall decrease in Formula Not Shown . These results are due to a decreasing HMI performance and divergence of the strategy function from a unity model paradigm