Flight Simulation for Research

Perry, Dominic; Naish, John

doi:10.1017/s0368393100080597

Cited by 17 publications

(4 citation statements)

References 3 publications

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“…Manoeuvre motion can exist in isolation but disturbances normally result in pilot action. Thus the well known (22,23) illustration, Fig. 15, of the effect of motion on control of an aircraft following a side gust leads not only to the earlier recognition and reaction to the gust, thus reducing the initial excursion, but also subsequently to more accurate control of the motion.…”

Section: Motion Criteriamentioning

confidence: 95%

Current problems of flight simulators for research

Staples¹

1978

Aeronaut. j.

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Barnes has said ‘simulation is like a meal in a restaurant —more depends on the way it is prepared and served than on the basic ingredients'. We know a good deal about the ingredients, the hardware, of the simulator meal but we are not yet particularly good cooks. The lore of cooking has largely been obtained by ad hoc experiments, and at its highest expression is an art; the same is still true, in the main, of simulation techniques. Simulation should come of age. The precocious youngster grew up relatively undisciplined using the sledge-hammer of technology in an endeavour to produce a ground-borne aeroplane, with little science used in identifying the requirements.

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Section: Motion Criteriamentioning

confidence: 95%

Current problems of flight simulators for research

Staples¹

1978

Aeronaut. j.

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“…18 from ref. 28 shows the very large effect on pilot performance in controlling bank angle excursions, of the provision of various types of visual and motion cues. It is only of course by correlation with actual aircraft characteristics that validation of a specific level of simulation is possible; this correlation must extend' 291 not only to pilots' overall assessments, but also to details such as the pattern of control usage, the manner in which manoeuvres are made and so on.…”

Section: Experimental Methods For Studying Handlingmentioning

confidence: 99%

Handling Criteria

O'hara¹

1967

J. R. Aeronaut. Soc.

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SummaryThe nature of handling criteria and their uses in relation to the prediction of aircraft handling characteristics are discussed. A brief history is given of the development of ideas on handling, and a survey is made of criteria for modern aircraft, looking particularly at the physical factors affecting the pilot, as an indication of the basis of the criteria. The novel handling features arising with new aircraft species like slender wings and VTOL are considered. The scope of flight simulators and variable stability aircraft for systematic study of handling is discussed and the potentialities of theoretical study by means of servo analysis techniques considered. Finally, possible lines of development in relation to the assessment of aircraft handling characteristics are suggested.

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“…There is a continues-time delay in the transfer function form, it could be approximated to following equation by 3-order Pade approximation 3 …”

Section: An Optimal Force Cueing Algorithm For Dynamic Seatmentioning

confidence: 99%

“…Experimental evidence shows that the pilot motion sensation can affect the method by which the pilot flies an aircraft [1,2,3,4]. For this reason these senses are stimulated in some simulators by motion of the cockpit or other methods which directly affect the human vestibular and proprioceptive sensors.…”

Section: Introductionmentioning

confidence: 99%

An optimal force cueing algorithm for dynamic seat

Shao

Guan

Wang

et al. 2009

2009 IEEE International Conference on Control and Automation

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The force cueing algorithm is a primary source of flight simulation fidelity for dynamic seat. This paper presents a new optimal force cueing algorithm which incorporates a mathematical model of human body pressure system and otolith system. Linear perceptual models of the pilot in both dynamic seat and aircraft are built, then the cueing algorithm is derived by optimizing the mean-square error between the models. A comparison of the force cues produced by a dynamic seat is presented, using this cueing algorithm and earlier conventional algorithms: classical filter and adaptive filter. It is shown that the new algorithm performs more rapidly respond within the limitations of the dynamic seat, also a significant improvement of force cue fidelity are implemented in this algorithm compared to other two algorithms.

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Flight Simulation for Research

Cited by 17 publications

References 3 publications

Current problems of flight simulators for research

Current problems of flight simulators for research

Handling Criteria

An optimal force cueing algorithm for dynamic seat

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