Journal of information and communication convergence engineering

  • 제22권2호
  • /
  • Pages.127-132
  • /
  • 2024
  • /
  • 2234-8255(pISSN)
  • /
  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
권호 표지
DOI QR코드

DOI QR Code

Particle Swarm Optimization based Haptic Localization of Plates with Electrostatic Vibration Actuators

  • Gwanghyun Jo (Department of Mathematical Data Analysis, Hanyang University ERICA) ;
  • Tae-Heon Yang (Department of Mechanical Engineering, Konkuk University) ;
  • Seong-Yoon Shin (School of Computer Science and Engineering, Kunsan National University)
  • 투고 : 2023.10.24
  • 심사 : 2023.12.23
  • 발행 : 2024.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Haptic actuators for large display panels play an important role in bridging the gap between the digital and physical world by generating interactive feedback for users. However, the generation of meaningful haptic feedback is challenging for large display panels. There are dead zones with low haptic sensations when a small number of actuators are applied. In contrast, it is important to control the traveling wave generated by the actuators in the presence of multiple actuators. In this study, we propose a particle swarm optimization (PSO)-based algorithm for the haptic localization of plates with electrostatic vibration actuators. We modeled the transverse displacement of a plate under the effect of actuators by employing the Kirchhoff-Love plate theory. In addition, starting with twenty randomly generated particles containing the actuator parameters, we searched for the optimal actuator parameters using a stochastic process to yield localization. The capability of the proposed PSO algorithm is reported and the transverse displacement has a high magnitude only in the targeted region.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) (No. 2020R1C1C1A01005396).

참고문헌

  1. I. Han, and J. B. Black, "Incorporating haptic feedback in simulation for learning physics," Computers & Education, vol. 57, no. 4, pp. 2281-2290, 2011. DOI: 10.1016/j.compedu.2011.06.012. 
  2. U. von Zadow, S. Buron, T. Harms, F. Behringer, K. Sostmann, and R. Dachsel, "SimMed: combining simulation and interactive tabletops for medical education," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1469-1478, 2013. DOI: 10.1145/2470654.2466196. 
  3. C. H. Mejia, P. Germano, S. C. Echeverri, and Y. Perriard, "Artificial Neural Networks for Impact Position Detection in Haptic Surfaces," in 2019 IEEE International Ultrasonics Symposium (IUS), Aticle ID: 19242551, 2019. DOI: 10.1109/ULTSYM.2019.8925548. 
  4. S. Park, D. Kim, and N. C. Park, "Rendering high-fidelity vibrotactile feedback on a plate via optimization of actuator driving signals," in INTER-NOISE and NOISE-CON Congress and Conference Proceedings, vol. 261, no. 6, pp. 548-555, 2020. DOI: 10.1109/ACCESS.2023.3247606. 
  5. C. Hudin, J. Lozada, and V. Hayward, "Localized tactile feedback on a transparent surface through time-reversal wave focusing." IEEE transactions on haptics, vol. 8, no. 2 pp. 188-198, 2015. DOI: 10.1109/TOH.2015.2411267. 
  6. T. W. Mason, "Design and testing of an electrostatic actuator with dual-electrodes for large touch display applications," Ph.D. dissertation, Miami University, 2021. 
  7. Rajkumar, S. Mohan, et al. "Modeling and Experimental Evaluation of Haptic Localization Using Electrostatic Vibration Actuators." IEEE Access 11 (2023): 18582-18589. 
  8. J. Kennedy, and R. Eberhart. "Particle swarm optimization." in Proceedings of ICNN'95-International Conference on Neural Networks. vol. 4, pp. 1942-1928, 1995. DOI: 10.1109/ICNN.1995. 488968. 
  9. W. Dongshu, D. Tan, and L. Liu. "Particle swarm optimization algorithm: an overview," Soft computing vol. 22, pp. 387-408, 2018. DOI: 10.1007/s00500-016-2474-6. 
  10. T. M. Shami, A. A. El-Saleh; M. Alswaitti, Q. Al-Tashi, M. A. Summakieh, and S. Mirjalili, "Particle Swarm Optimization: A Comprehensive Survey," vol. 10, pp. 10031-10061, 2022. DOI: 10.1109/ACCESS.2022.3142859. 
  11. J. Tian, M. Hou, H. Bian, and J. Li, "Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems," Complex & Intelligent Systems, vol. 9, pp. 3887-3935, 2023. DOI: 10.1007/s40747-022-00910-7. 
  12. C. Basdogan, F, Giraud, V. Levesque, S. Choi, "A review of surface haptics: Enabling tactile effects on touch surfaces," IEEE transactions on haptics, vol. 13 no. 3, pp. 450-470, 2020. DOI: 10.1109/TOH.2020.2990712. 
  13. D. N. Arnold, A. L. Madureira, and S. Zhang, "On the range of applicability of the Reissner-Mindlin and Kirchhoff-Love plate bending models," Journal of elasticity and the physical science of solids, vol. 67, no. 3, pp. 171-185, 2002. DOI: 10.1023/A:1024986427134. 
  14. D. Kropiowska, L. Mikulski, and P. Szeptynski, "Optimal design of a Kirchhoff-Love plate of variable thickness by application of the minimum principle," Structural and Multidisciplinary Optimization, vol. 59, no. 5, pp. 1581-1598, 2019. DOI: 10.1007/s00158-018-2143-3. 
  15. R. K. Mohanty, "A fourth-order finite difference method for the general one-dimensional nonlinear biharmonic problems of first kind," Journal of computational and applied mathematics, vol. 114, no. 2, pp. 275-290, 2000. DOI: 10.1007/s00158-018-2143-3.