Motion and dynamic analyses of a human centrifuge system with an efficient design configuration

Abstract Modern high-maneuverable fighters and airplanes can expose pilots and aircrews to high-Gravity acceleration. In order to maintain air safety and superiority during operation, pilots and aircrews should have tolerance for this intense acceleration. Countermeasures can be taken to enhance the human tolerance to high-Gravity acceleration motion fields. One of the most promising solutions is acceleration physiology training using a Human Centrifuge System (HCS). Motivated by the lack of practical guidelines on design and development of HCS's structure and control algorithms, this study introduces an analysis framework towards characterising the most feasible HCS design configuration, meeting the requirements of effective centrifuge training. The proposed framework, including Inverse Kinematic and Dynamic (IKD) operation, motion analysis and sensitivity plots, can be simply applied to different design configurations with minor modification in the kinematic and dynamic algorithm. The outcomes of the study show the dependency of kinematic and dynamic responses of the system on the design and operational parameters. It is observed that the range of Coriolis acceleration and feet-to-head acceleration ratio can be minimised by adopting a proper orientation of the gondola. This outcome can be an important step towards the design of a more efficient and affordable HCS, without imposing the over-increased HCS's arm length challenges.

[1]  Saeid Nahavandi,et al.  Vehicle motion simulators, a key step towards road vehicle dynamics improvement , 2015 .

[2]  Robert L. Shaw,et al.  Fighter Combat: Tactics and Maneuvering , 1985 .

[3]  David G. Newman Flying Fast Jets: Human Factors and Performance Limitations , 2014 .

[4]  S. Nahavandi,et al.  An Efficient Design Solution for a Low-Cost High-G Centrifuge System , 2021, IEEE/ASME Transactions on Mechatronics.

[5]  Saeid Nahavandi,et al.  Design and Development of a Low-Cost High-G Centrifuge System (Cyclone) , 2019, 2019 7th International Conference on Control, Mechatronics and Automation (ICCMA).

[6]  Dale Johnson Fundamentals of Aerospace Medicine , 2012 .

[7]  G. Ferenc,et al.  Development and implementation of an algorithm for calculating angular velocity of main arm of human centrifuge , 2012, 2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC).

[8]  Wood Eh Contributions of aeromedical research to flight and biomedical science. , 1986 .

[9]  Jorg Onno Entzinger,et al.  Pilot-in-the-loop simulation of simple adaptive fault-tolerant controller , 2020 .

[10]  Antônio O. Dourado,et al.  New concept of dynamic flight simulator, Part I , 2013 .

[11]  Vladimir Kvrgic,et al.  A control algorithm for a centrifuge motion simulator , 2014 .

[12]  David Hyunchul Shim,et al.  An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers , 2018 .

[13]  Grzegorz Kowaleczko,et al.  An inverse kinematic model of the human training centrifuge motion simulator , 2019, Journal of Theoretical and Applied Mechanics.

[14]  M. Mulder,et al.  Mitigating the Coriolis Effect in Human Centrifuges by coherent G-misalignment , 2019, AIAA Scitech 2019 Forum.