Tau Guidance in Boundary-Avoidance Tracking - New Perspectives on Pilot-Induced Oscillations

Padfield, Gareth D.; Lu, Linghai; Jump, Michael

doi:10.2514/1.54065

Cited by 15 publications

(11 citation statements)

References 16 publications

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“…An investigation of terrain-hugging flight reinforced the τ-based nature of the prospective control behavior of helicopter pilots [1;17;20]. Similar results have been found when applying τ-guide analyses to the landing flare maneuver of fixed-wing aircraft [18;19] and to the adverse aircraft-pilot T coupling phenomenon in a roll-step lateral re-positioning maneuver, described as boundary-avoidance-tracking [21].…”

Section: Introductionsupporting

confidence: 61%

Development of a Generic Time-to-Contact Pilot Guidance Model

Jump

Padfield

2018

Journal of Guidance, Control, and Dynamics

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Section: Introductionsupporting

confidence: 61%

Development of a Generic Time-to-Contact Pilot Guidance Model

Jump

Padfield

2018

Journal of Guidance, Control, and Dynamics

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“…models derived from Gray's work on Boundary Avoidance Task (BAT) [31][32][33]). The previously discussed simple models are preferred in this context since the focus is on producing the effect of the pilot's intentional behavior throughout the same detailed biomechanical model that is used simulate the involuntary behavior.…”

Section: B Cognitive Model Of the Pilotmentioning

confidence: 99%

A voluntary/involuntary pilot model for helicopter flight dynamics and aeroservoelasticity

Bernardini

Guglieri

Masarati

et al. 2014

AIAA Atmospheric Flight Mechanics Conference

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This work presents the integration of detailed models of a pilot controlling an helicopter along the heave axis through the collective control inceptor. The action on the control inceptor is produced through a biomechanical model of the pilot's limbs, by commanding the activation of the related muscle bundles. Such activation, in turn is determined by defining the muscle elongations required to move the control inceptor in order to obtain the control of the vehicle according to a high-level model of the voluntary action of the pilot acting as a regulator for the vehicle. The biomechanical model of the pilot's limbs and the aeromechanical model of the helicopter are implemented in a general-purpose multibody simulation environment. The helicopter model, the biomechanical model of the pilot's limbs, the cognitive model of the pilot and their integration are discussed. The integrated model is applied to the simulation of simple, yet representative mission task elements.

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“…This architecture unifies the planning model with two levels that have both been investigated and validated in human behavior: perceptual guidance (Lee, 1998; Padfield et al, 2012) and tracking or pursuit (McRuer and Jex, 1967). …”

Section: Systems Integration and Hierarchical Modelmentioning

confidence: 99%

“…This theory, which originates from Gibson's ecological psychology, provides a direct link between perceived quantities and control action. It has been validated in various animal behaviors, as well as more recently in pilots (Padfield et al, 2003, 2012). The strength of this mechanism is its simplicity, which enables real-time implementation.…”

Section: Introductionmentioning

confidence: 99%

Systems view on spatial planning and perception based on invariants in agent-environment dynamics

Mettler

Kong

et al. 2015

Front. Neurosci.

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Modeling agile and versatile spatial behavior remains a challenging task, due to the intricate coupling of planning, control, and perceptual processes. Previous results have shown that humans plan and organize their guidance behavior by exploiting patterns in the interactions between agent or organism and the environment. These patterns, described under the concept of Interaction Patterns (IPs), capture invariants arising from equivalences and symmetries in the interaction with the environment, as well as effects arising from intrinsic properties of human control and guidance processes, such as perceptual guidance mechanisms. The paper takes a systems' perspective, considering the IP as a unit of organization, and builds on its properties to present a hierarchical model that delineates the planning, control, and perceptual processes and their integration. The model's planning process is further elaborated by showing that the IP can be abstracted, using spatial time-to-go functions. The perceptual processes are elaborated from the hierarchical model. The paper provides experimental support for the model's ability to predict the spatial organization of behavior and the perceptual processes.

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Tau Guidance in Boundary-Avoidance Tracking - New Perspectives on Pilot-Induced Oscillations

Cited by 15 publications

References 16 publications

Development of a Generic Time-to-Contact Pilot Guidance Model

Development of a Generic Time-to-Contact Pilot Guidance Model

A voluntary/involuntary pilot model for helicopter flight dynamics and aeroservoelasticity

Systems view on spatial planning and perception based on invariants in agent-environment dynamics

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