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Automatic Landing Control of Aircraft Based on Cognitive Load Theory and DDPG

Chao Wang

Chao Wang

School of Armament Science and Technology, Xi’an Technological UniversityXi’an, China
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Wang, Chao
 e 
Changyuan Wang

Changyuan Wang

School of Computer Science and Engineering, Xi’an Technological UniversityXi’an, China
Cerca questo autore su
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Wang, Changyuan
  
28 mar 2024
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Pubblicato online: 28 mar 2024
Pagine: 68 - 77
DOI: https://doi.org/10.2478/ijanmc-2024-0007
Parole chiave
© 2024 Chao Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Power Spectrum
Power Spectrum

Figure 2.

Meaning of Each Frequency
Meaning of Each Frequency

Figure 3.

Schematic diagram of DDPG
Schematic diagram of DDPG

Figure 4.

Critic Network Structure
Critic Network Structure

Figure 5.

Actuator Network Structure
Actuator Network Structure

Figure 6.

Experimental setup map runway
Experimental setup map runway

Figure 7.

Original electrocardiogram signal map
Original electrocardiogram signal map

Figure 8.

Electrocardiogram image after denoising
Electrocardiogram image after denoising

Figure 9.

ECG image after R-wave extraction
ECG image after R-wave extraction

Figure 10.

Cognitive load value
Cognitive load value

Figure 11.

Reward Value Turn Curve
Reward Value Turn Curve

Figure 12.

Time Step Turn Curve
Time Step Turn Curve

Figure 13.

Return Value Change Curve Figure
Return Value Change Curve Figure

Figure 14.

Exploring Variables and Entropy Change Curve
Exploring Variables and Entropy Change Curve

Figure 15.

Speed time curve
Speed time curve

Figure 16.

Angular velocity time curve
Angular velocity time curve

Figure 17.

Final position mean square deviation and standard deviation Figure
Final position mean square deviation and standard deviation Figure

Figure 18.

Final pitch angle mean square deviation and standard deviation
Final pitch angle mean square deviation and standard deviation

Cognitive compliance

Types Indirect mode Specific mode
subjective measure Subjective assessment scale NASA-TLX, WP scales, etc
Task performance Dual task measurement
objective measurement Physiological measurement data Electrocardiogram, oculomotor, electroencephalogram, etc

Time domain indicators

Name unit illustrate Formula
MEAN ms Mean RR interval MEAN=∑i=1NRRiN
SDNN ms Normal RR interval standard deviation SDNN=∑i=1N(RRi−RR)2N

rMSD

D

 ms Root mean square of RR interval difference between neighbors rMSSD=∑i=1N(RRi+1−RRi)2N
pNN50 % proportion of RR interval difference greater than 50ms pNN50=NN50NN×100%

Meaning of each frequency

Name Abbreviation Meaning Frequency range
Very low frequency VLF - <0.04 Hz
low frequency LF Reflecting sympatheti c nervous activity 0.04 ~ 0.15 Hz
High frequency HF Reflecting parasympat hetic nerve activity 0.15 ~ 0.4 Hz

Technical parameters of signal acquisition equipment

Name Value range
resolution ratio ECG ≥ 16Bit
measurement range -1500 μV ~ 1500 μV
Adjustable magnification 1,2,3,4,5,6,7
accuracy 0.183 μV, 0.0915 μV, 0.061 μV , 0.046 μV, 0.037μV , 0.026 μV
Number of wireless sensor channels ≥1
Wireless transmission frequency 2.4GHz
Distance 10m ~ 100m
Battery operating time ≥ 4h
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