Abstract
This study aimed to evaluate pilot manipulation comfort in different flight scenarios under different ambient temperatures. To achieve this goal, we designed a test plan to devise the physiological indexes used in the evaluation of pilot manipulation comfort, collected and analyzed pilot EMG signals and mean skin temperature, and on this basis revealed the impacts of different ambient temperatures and different flight missions on muscle activation and mean skin temperature. Based on this, we extracted muscle activation and mean skin temperature as the evaluation indices for the evaluation of manipulation comfort and established a model for this evaluation based on an improved particle swarm optimization and least-squares support vector machine (IPSO-LSSVM). Based on this model, the predicted manipulation comfort values of the participants were 4, 5 and 6, which belong to the categories of fair, somewhat comfortable and rather comfortable, respectively. By comparing the prediction results of different evaluation methods, the method proposed in this study was verified to be effective.
Highlights
An intelligent cockpit makes it easy to steer an airplane
When the ambient temperature rose from 20 ◦ C to 31 ◦ C, the mean skin temperature of each test part gradually increased, among which the temperature of the upper limbs and lower limbs rose more noticeably than those of the other parts
The manipulation force, joint torque, muscle activation and mean skin temperature were used as the inputs of the pilot manipulation comfort evaluation model
Summary
Some airplanes have already been equipped with touch-sensitive flight display systems. These systems are not yet 100% reliable. Comfort evaluation methods mainly include subjective evaluation and objective evaluation approaches. In subjective evaluation approaches [1–3], questionnaires and various comfort scales are used to evaluate the feeling of comfort for a pilot. Such evaluations are characterized by low repetitions and uncertainties. Body pressure distribution [4,5], electrophysiological measurement, and other variables are introduced into the comfort evaluation. The representative electrophysiological evaluation approaches mainly include heart rate variability (HRV) [6], electromyography (EMG) [7–10] and electroencephalography (EEG) [11]. EMG is the most widely applied method in comfort evaluation
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