Investigation into Pilot Perception and Control During Decrab Maneuvers in Simulated Flight

Beukers, J. T.; Stroosma, Olaf; Pool, Daan M.; Mulder, Max; Paassen, M. M. van

doi:10.2514/1.47774

Cited by 15 publications

(3 citation statements)

References 25 publications

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“…(2)the time constant N τ ,in the neuromuscular dynamics system; (3)the noise power in the observation noise; (4)the noise power in the motor noise; These parameters in a group of pilots are modeled using Rayleigh probability density function because it is a good model for measurement error in a number of different physical situations [3].…”

Section: Fuzzy Controller Design Of Longitudinal Motionmentioning

confidence: 99%

Design of Probabilistic Pilot Model with Fuzzy Controller for Microburst Escape

Gao

Zheng

2011

AMM

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Pilot should control the aircraft manually when encountering low altitude wind shear during takeoff and landing. For wind shear escape and flight safety research, an effective human pilot model together with wind shear and flight dynamics model should be built with high fidelity. A skill-based human pilot model was built which can describe pilots’ characteristics such as experiences, skills, emotions, reaction abilities, etc. A fuzzy controller was designed for lateral and longitudinal escape control in pilot model. Since single pilot could not represent a group of pilots’ control behavior, some of the model parameters were set to be stochastic, then the Monte Carlo method was adopted to obtain a numerical approximation of safety analysis results. With the probabilistic pilot model, escape strategies and safety analysis can be studied by simulation with high fidelity.

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Section: Fuzzy Controller Design Of Longitudinal Motionmentioning

confidence: 99%

Design of Probabilistic Pilot Model with Fuzzy Controller for Microburst Escape

Gao

Zheng

2011

AMM

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“…(4) The noise power in the motor noise. These parameters in a group of pilots are modeled using Rayleigh probability density function because it is a good model for measurement error in a number of different physical situations [6]. Safety Assessment Methods.…”

Section: Advanced Transportationmentioning

confidence: 99%

Safety Analysis of Aircraft Flying through Low Altitude Wind Shear

Gao

2011

AMM

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Low altitude microburst wind shear would do harm to aircrafts’ takeoff and landing. In order to analyze flight safety and advise better escape strategies, a mathematical model was built with high fidelity by a vortex ring based microburst model and a flight dynamics model with wind effects. A human pilot model which can describe characteristics of pilots such as skills, experiences, emotion, etc was embedded into the dynamics model. Since the key parameters of the microburst wind shear model and pilot model were set to be stochastic, the Monte Carlo method was adopted to obtain a numerical approximation of the probability density function of the minimum altitude and the F-factors for flight safety analysis.

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“…Furthermore, using a prepositioning filter, the SRS was moved to the trim pitch attitude θ 0 before the start of each measurement run. 35 Note that this prepositioning was also done for the no-motion condition S0. The prepositioning filter was defined as:…”

Section: Iiia3 Simulator Motion Cueingmentioning

confidence: 99%

Comparing Multimodal Pilot Pitch Control Behavior Between Simulated and Real Flight

Zaal

Pool

Paassen

2012

Journal of Guidance, Control, and Dynamics

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In order to improve the tuning process of flight simulator motion cueing filters and support the development of objective simulator motion cueing requirements, a better understanding of how multimodal pilot control behavior is affected by simulator motion fidelity is required. To this end, an experiment was performed where seven pilots performed a pitch target-following disturbance-rejection task in a simulator under four different motion cueing settings, in addition to performing the task in a real aircraft, which served as the baseline condition. Differences between the simulator and aircraft experiment setup were minimized. Small remaining differences in the display and the sidestick setup slightly affected the experiment dependent measures. However, the effects introduced by the motion cueing settings were far more apparent. When motion fidelity was increased to full aircraft motion, pilots were able to increase performance in attenuating the disturbance signal significantly. In addition, for increased motion fidelity, a change in multimodal pilot control behavior was observed by a decrease in pilot visual lead, while visual and vestibular perception delays increased. Pilot performance and control behavior in the simulator condition with full pitch motion and filtered pitch and c.g. heave motion was most similar to the in-flight condition.

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Investigation into Pilot Perception and Control During Decrab Maneuvers in Simulated Flight

Cited by 15 publications

References 25 publications

Design of Probabilistic Pilot Model with Fuzzy Controller for Microburst Escape

Design of Probabilistic Pilot Model with Fuzzy Controller for Microburst Escape

Safety Analysis of Aircraft Flying through Low Altitude Wind Shear

Comparing Multimodal Pilot Pitch Control Behavior Between Simulated and Real Flight

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