Accès libre

Implementation of Classical Motion Cueing Algorithms for Serial Manipulator Based Motion Simulator: Larrmos Case Study

À propos de cet article

Citez

Nieuwenhuizen, F., Mulder, M., van Paassen, M., & Bülthoff, H. H. (2011). The Influence of motion system characteristics on pilot control behaviour. In AIAA Modeling and Simulation Technologies Conference, (pp. 1–15), 8–11 August 2011. Portland, Oregon, American Institute of Aeronautics and Astronautics. Search in Google Scholar

Mohajer, N., Abdi, H., Nelson, K., & Nahavandi, S. (2015). Vehicle Motion Simulators, a Key Step towards Road Vehicle Dynamics Improvement. Veh Syst Dyn, 53, 1204–1226. Search in Google Scholar

Caffò, A.O., Tinella, L., Lopez, A., Spano, G., Massaro, Y., Lisi, A., … & Bosco, A. (2020). The Drives for Driving Simulation: A Scientometric Analysis and a Selective Review of Reviews on Simulated Driving Research. Front Psychol., 11, 917. Search in Google Scholar

Ghafarian, M., Watson, M., Mohajer, N., Nahavandi, D., Kebria, P.M., & Mohamed, S. M. (2023). A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms. IEEE Access, 11, 36331–36348. Search in Google Scholar

Wynne, R.A., Beanland, V., & Salmon, P.M. (2019). Systematic Review of Driving Simulator Validation Studies, Saf. Sci., 117, 138–151. Search in Google Scholar

Stewart, D. (1965). A Platform with Six Degrees of Freedom. Proc. Inst. Mech. Eng., 180, 371–386. Search in Google Scholar

Mamoon, M., & Saifullah. (2014). Inverse kinematics and path planning of Stewart Platform using crank arm actuation system. In Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST), (pp. 175–181), 14–18 January 2014. Islamabad, Pakistan. Search in Google Scholar

Khamsehei Fadaei, M.H., Hamzeh Pahnehkolaei, S.A., Hesarlou, M.J., & Torkan, Z. (2017). Dynamics modeling of a stewart platform in Simulink MSC ADAMS. In 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), (pp. 0294–0298). Search in Google Scholar

Sharma, K., Haddadin, S., Minning, S., Heindl, J., Bellmann, T., Parusel, S., … & Albu-Schaeffer, A. (2013). Evaluation of human safety in the DLR Robotic Motion Simulator using a crash test dummy. In 2013 IEEE International Conference on Robotics and Automation, 205–212. Search in Google Scholar

Chance, G., Ghobrial, A., McAreavey, K., Pipe, T., & Lemaignan, S. (2022). On Determinism of Game Engines Used for Simulation-Based Autonomous Vehicle Verification. IEEE Trans. Intell. Transp. Syst., 23, 20538–20552. Search in Google Scholar

Seefried, A., Pollok, A., Kuchar, R., Hellerer, M., Leitner, M., Schallert, C., … & Looye, G. (2019) Multi-Domain Flight Simulation with the DLR Robotic Motion Simulator. 2019 Spring Simulation Conference (SpringSim), 1–12. Search in Google Scholar

Rassõlkin, A., Maksimkins, P., Stupāns, A., Rjabtšikov, V., Šenfelds, A., & Kuts, V. (2024). The Spatial Representation of a Self-Driving Vehicle for the Virtual Entity of a Digital Twin. Computer, 57, 58–66. Search in Google Scholar

Maksimkins, P., Šenfelds, A., Maksimkina, J., & Ribickis, L. (2021). Development of a New Body Motion Parameters Acquisition System. In 2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), (pp. 103– 107), 22–24 April 2020. Vilnius, Lithuania. Search in Google Scholar

Maksimkins, P., Stupāns, A., Kriviša, S., Šenfelds, A., & Ribickis, L. (2021). Implementation of a classic washout filter for robotic large range motion simulator using cylindrical coordinate system. 2021 IEEE 9th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), (pp. 1–6), 25–26 November 2021. Riga, Latvia. Search in Google Scholar

Correia Grácio, B.J. (2013). The Effects of Specific Force on Self-Motion Perception in a Simulation Environment. PhD Thesis. TU Delft Repository. Search in Google Scholar

Stahl, K., Leimbach, K.-D., Zoellner, R. D., & Meroth, A. (2015). A Washout and a Tilt Coordination Algorithm for a Hexapod Platform. 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 1196–1201. Search in Google Scholar

Nahon, M.A., & Reid, L.D. (1990). Simulator Motion-Drive Algorithms - A Designer’s Perspective. J. Guid. Control Dyn., 13, 356–362. Search in Google Scholar

Reid, L., & Nahon, M. (1987). The Response of Airline Pilots to Flight Simulator Motion. Flight Simulation Technologies Conference. American Institute of Aeronautics and Astronautics. Search in Google Scholar

Robuffo Giordano, P, Masone, C., Tesch, J., & Breidt, M. (2010). A Novel Framework for Closed-Loop Robotic Motion Simulation - Part II: Motion Cueing Design and Experimental Validation. 2010 IEEE International Conference on Robotics and Automation, 3896–3903. Search in Google Scholar

Stupāns, A., Maksimkins, P., Šenfelds, A., & Ribickis, L. (2023). Analysis of motion cueing performance of large range robotic motion simulator: A luge sports simulator case study. In 2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPEPOWERENG), (pp. 1–6), 14–16 June 2023. Tallinn, Estonia. Search in Google Scholar

Chalak Qazani, M.R., Asadi, H., & Nahavandi, S. (2019). A Decoupled Linear Model Predictive Control-based Motion Cueing Algorithm for Simulation-based Motion Platform with Limited Workspace. 2019 IEEE International Conference on Industrial Technology (ICIT), 35–41. Search in Google Scholar

Augusto, B., & Loureiro, R. (2009). Motion Cueing in the Chalmers Driving Simulator: A Model Predictive Control Approach. Chalmers University of Technology. Available at https://publications.lib.chalmers.se/records/fulltext/98871.pdf Search in Google Scholar

Chen, S.-H., & Fu, L.-C. (2010). An optimal washout filter design for a motion platform with senseless and angular scaling maneuvers. In Proceedings of the 2010 American Control Conference, (pp. 4295– 4300). Baltimore, MD, IEEE. Search in Google Scholar

Miunske, T., Holzapfel, C., Baumgartner, E., & Reuss, H.-C. (2019). A new approach for an adaptive linear quadratic regulated motion cueing algorithm for an 8 DoF full motion driving simulator. In 2019 International Conference on Robotics and Automation (ICRA), (pp. 497–503), 20–24 May 2019. Montreal, Canada. Search in Google Scholar

Koyuncu, A.B., Erçelik, E., Comulada-Simpson, E., Venrooij, J., Kaboli, M., & Knoll, A. (2020). A novel approach to neural network-based motion cueing algorithm for a driving simulator. In 2020 IEEE Intelligent Vehicles Symposium (IV), (pp. 2118–2125), 20–23 October 2020. Las Vegas, USA. Search in Google Scholar

Pham, D.A., Röttgermann, S., Flores, F.G., & Kecskemethy, A. (2015). Optimal motion cueing algorithm selection and parameter tuning for sickness-free robocoaster ride simulations. In B. Corves, E.-C. Lovasz, & M. Hüsing (Eds.), Mechanisms, Transmissions and Applications (pp. 127–135). Cham, Springer International Publishing. Search in Google Scholar

Nie, Y., Bellmann, T., Seefried, A., Looye, G., Van Kampen, E.-J., & Chu, Q.P. (2015). Aircraft upset and recovery simulation with the DLR robot motion simulator. In AIAA Modeling and Simulation Technologies Conference, (pp. 1–10), 5–9 January 2015. Florida, American Institute of Aeronautics and Astronautics. Search in Google Scholar

Kim, M.S., Moon, Y.G., Kim, G.D., & Lee, M.C. (2010). Partial Range Scaling Method Based Washout Algorithm for a Vehicle Driving Simulator and its Evaluation. Int. J. Automot. Technol., 11, 269–275. Search in Google Scholar

eISSN:
2255-8896
Langue:
Anglais
Périodicité:
6 fois par an
Sujets de la revue:
Physics, Technical and Applied Physics