Prediction of nonlinear pilot-induced oscillation using an intelligent human pilot model

Chinese Journal of Aeronautics - Tập 32 - Trang 2592-2611 - 2019
Shuting XU1, Wenqian TAN1, Xiangju QU1, Cheng ZHANG1
1School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China

Tài liệu tham khảo

Belcastro, 2017, Aircraft loss of control problem analysis and research toward a holistic solution, J Guid Control Dyn, 40, 733, 10.2514/1.G002815

Klyde, 2017, Flight-test evaluation of a loss-of-control mitigation system, J Guid Control Dyn, 40, 981, 10.2514/1.G001486

Klyde, 2004, Investigating the role of rate limiting in pilot-induced oscillations, J Guid Control Dyn, 27, 804, 10.2514/1.3215

Tan, 2010, A criterion based on closed-loop pilot-aircraft systems for predicting flying qualities, Chin J Aeronaut, 23, 511, 10.1016/S1000-9361(09)60248-X

Wang, 2017, Suggestion for aircraft flying qualities requirements of a short-range air combat mission, Chin J Aeronaut, 30, 881, 10.1016/j.cja.2017.03.004

Yang, 2014, Human factors quantification via boundary identification of flight performance margin, Chin J Aeronaut, 27, 977, 10.1016/j.cja.2014.03.016

Xu, 2017, Review of control models for human pilot behavior, Annu Rev Control, 44, 274, 10.1016/j.arcontrol.2017.09.009

Tan, 2014, A method for predicting aircraft flying qualities using neural networks pilot model

McRuer, 1967, A review of quasi-linear pilot models, IEEE Trans Hum Factors Electron, 8, 231, 10.1109/THFE.1967.234304

Hess, 1997, Unified theory for aircraft handling qualities and adverse aircraft-pilot coupling, J Guid Control Dyn, 20, 1141, 10.2514/2.4169

Pavel, 2013, Adverse rotorcraft pilot couplings—past, present and future challenges, Prog Aerosp Sci, 62, 1, 10.1016/j.paerosci.2013.04.003

Pavel, 2015, Practices to identify and preclude adverse aircraft-and-rotorcraft-pilot couplings–a design perspective, Prog Aerosp Sci, 76, 55, 10.1016/j.paerosci.2015.05.002

Pavel, 2015, Practises to identify and prevent adverse aircraft-and-rotorcraft-pilot couplings—a ground simulator perspective, Prog Aerosp Sci, 77, 54, 10.1016/j.paerosci.2015.06.007

Klyde, 2017, Assessment of a scalogram-based PIO metric with flight test data

Cameron, 2018, Further assessment of a scalogram-based PIO metric using university of Liverpool tilt rotor simulation data

Hess, 2009, Modeling pilot control behavior with sudden changes in vehicle dynamics, J Aircraft, 46, 1584, 10.2514/1.41215

Hess, 2006, Simplified approach for modelling pilot pursuit control behaviour in multi-loop flight control tasks, Proc IMechE Part G: J Aerospace Eng, 220, 85

Hess, 2014, A model for pilot control behavior in analyzing potential loss-of-control events, Proc IMechE Part G: J Aerospace Eng, 228, 1845

Hess, 2014, Modeling human pilot adaptation to flight control anomalies and changing task demands, J Guid Control Dyn, 39, 655, 10.2514/1.G001303

Hoh, 1982

Klyde, 2009, Smart-cue and smart-gain concepts to alleviate loss of control, J Guid Control Dyn, 32, 1409, 10.2514/1.43156

Xu, 2018, Active side-stick to prevent category II pilot-induced oscillations due to actuator rate saturation, Acta Aeronautica Astronautica Sinica, 39, 121861

Liu, 2018, Actuator rate limiting boundary based on pilot-vehicle system stability requirement, Adv Aeronautical Sci Eng, 9, 28

Xu, 2017, Survey on theory and method of pilot-aircraft system with intelligent control

Pool, 2012, Identification of nonlinear motion perception dynamics using time-domain pilot modeling, J Guid Control Dyn, 35, 749, 10.2514/1.56236

Qu, 2001, Modeling of feeling institution in pilot structural model, Space Med Med Eng, 14, 124

Long, 1982, Human fuzzy control model in man-machine systems, J. Astronautics, 4, 12

Schmidt, 1985, Pilot modeling and closed-loop analysis of flexible aircraft in the pitch tracking task, J Guid Control Dyn, 8, 56, 10.2514/3.19935

Van Paasen, 2004, Model of the neuromuscular dynamics of the human pilot's arm, J Aircraft, 41, 1482, 10.2514/1.14434

Lam, 2009, Force-stiffness feedback in uninhabited aerial vehicle teleoperation with time delay, J Guid Control Dyn, 32, 821, 10.2514/1.40191

Klyde, 2009, Flight assessment of pilot behavior with smart-cue and smart-gain concepts active

Neal TP, Rogers ES. An in-flight investigation to develop control system design criteria for fighter airplanes. Air Force Flight Dynamics Laboratory. 1970. Report No.: TR-70-74.

Klyde DH, Liang CY, Alvarez DJ, Richards N, Adams RJ, Cogan B. Mitigating unfavorable pilot interactions with adaptive controllers in the presence of failures/damage. 2011 AIAA atmospheric flight mechanics conference. Reston: AIAA; 2011.

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Chinese Journal of Aeronautics

Tập 32

2592-2611

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