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사이버 물리적 시스템의 개발 - 가상 자율적 굴삭기

Development of a Cyber-physical System - A Virtual Autonomous Excavator

  • Park, Hong-Seok (Lab for Production Engineering, School of Mechanical and Automotive Engineering, University of Ulsan) ;
  • Le, Ngoc-Tran (Lab for Production Engineering, School of Mechanical and Automotive Engineering, University of Ulsan)
  • 투고 : 2014.09.02
  • 심사 : 2015.04.23
  • 발행 : 2015.09.01

초록

Nowadays, automatic digging operation of an excavator is a big challenge due to the complexity of digging environment, the hardness of soil and buried obstacles into the ground. In order to achieve the maximum soil bucket volume, this paper introduces a novel engineering model that was developed as a virtual excavator in the design phase. Through this model, the designs of mechanical and control systems for autonomous excavator are executed and modified easily before developing in real testbed. Based on a concept of an autonomous excavation, a mechanical system of excavator was first designed in SOLIDWORKS, and a soil model also was modeled by finite-element analysis in ANSYS, both modeled models were then exported to ADAMS environment to investigate the digging behavior through virtual simulation. An intelligent control strategy was generated in MATLAB/Simulink to control the excavator operation. The simulation results were demonstrated by effectiveness of the proposed excavator robot in testing scenarios with many soil types and obstacles.

키워드

참고문헌

  1. Park, H.-S. and Le, N.-T. 2012, Modeling and Controlling the Mobile Harbour Crane System with Virtual Prototyping Technology, International Journal of Control, Automation, and Systems, 10(6), pp.1204-1214. https://doi.org/10.1007/s12555-012-0615-y
  2. Lee, S., Hong, D., Park, H. and Bae, J., 2008, Optimal Path Generation for Excavator with Neural Networks Based Soil Models, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Seoul, Korea, pp.632-637.
  3. Davoudi, S., Alimardani, R., Keyhani, A. and Atarnejad, R., 2008, A Two Dimensional Finite Element Analysis of a Plane Tillage Tool in Soil Using a Non-linear Elasto-Plastic Model, American-Eurasian J. Agric. & Environ. Sci., 3(1818-6769), pp.498-505.
  4. Yousefi Moghaddam, R., Kotchon, A. and Lipsett, M.G., 2012, Method and Apparatus for Online Estimation of Soil Parameters during Excavation, Journal of Terra Mechanics, 49(3-4), pp.173-181. https://doi.org/10.1016/j.jterra.2012.05.002
  5. Tan, C.P., Zweiri, Y.H., Althoefer, K. and Seneviratne, L.D., 2005, Online Soil-bucket Interaction Identification for Autonomous Excavation, Proceedings of IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp.3576-3581.
  6. Althoefer, K., Tan, C.P., Zweiri, Y.H. and Seneviratne, L.D., 2009, Hybrid Soil Parameter Measurement and Estimation Scheme for Excavation Automation, IEEE Transactions on Instrumentation and Measurement, 58(10), pp.3633-3641. https://doi.org/10.1109/TIM.2009.2018699
  7. Singh, S. and Simmons, R.G., 1992, Task Planning for Robotic Excavation, Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1284-1291.
  8. Singh, S., 1994, Developing Plans for Robotic Excavators, Carnegie Mellon University, Pittsburgh, PA. 15213.
  9. Lee, S.-U. and Chang, P.H., 2002, Control of a Heavy-duty Robotic Excavator Using Time Delay Control with Integral Sliding Surface, Control Engineering Practice, 10(7), pp.697-711. https://doi.org/10.1016/S0967-0661(02)00027-8
  10. Yang, S.-Y., Jin, S.-M. and Kwon, S.-K., 2008, Remote Control System of Industrial Field Robot, IEEE International Conference on Industrial Informatics, Daejeon, Korea, pp.442-447.
  11. Yu, H., Liu, Y. and Hasan, M.S., 2010, Review of Modeling and Remote Control for Excavators, Int. J. Advanced Mechatronic System, 2(1-2), pp.68-80. https://doi.org/10.1504/IJAMECHS.2010.030850
  12. Luengo, O., Singh, S. and Cannon, H., 1998, Modeling and Identification of Soil-tool Interaction in Automated Excavation, Proceedings of International Conference on Intelligent Robots and Systems, 3, pp.1900-1906.
  13. Althoefer, K., Tan, C.P., Zweiri, Y.H. and Seneviratne, L.D., 2009, Hybrid Soil Parameter Measurement and Estimation Scheme for Excavation Automation, IEEE Transactions on Instrumentation and Measurement, 58(10), pp.3633-3641. https://doi.org/10.1109/TIM.2009.2018699
  14. Nasir, A.N.K., Raja Ismail, R.M.T. and Ahmad, M.A., 2010, Performance Comparision between Sliding Mode Control (SMC) and PD-PID Controllers for a Nonlinear Inverted Pendulum System, World Academy of Science, Engineering and Technology 70, 2010.
  15. Bradley, D.A. and Seward, D.W., 1998, The development, Control and Operation of an Autonomous Robotic Excavator, Journal of Intelligent and Robotic System, 21, pp.73-97. https://doi.org/10.1023/A:1007932011161
  16. Jafari, R., 2008, Sensitivity Analysis of Factors Affecting on Finite Element Analysis in Soiltool Interaction, Proceeding F-and-B'08 Proceedings of the 1st WSEAS International Conference on Finite Differences - Finite Elements -finite Volumes - Boundary Elements, pp.122-127.
  17. Piltan, F. and Sulaiman, N.B., 2012, Review of Sliding Mode Control of Robotic Manipulator, World Applied Sciences Journal, 18(12), pp.1855-1869.
  18. Young, K.D., 1978, Controller Design for a Manipulator Using Theory of Variable Structures, IEEE Trans. On systems, Man and Cybernetics, SMC-8, pp.210-218.
  19. Slotine, J.J.E., 1984, Sliding Controller Design for Nonlinear Systems, Int. J. Control, 40, pp.421-434. https://doi.org/10.1080/00207178408933284
  20. Ebel, K.C., 2001, Adaptive Sliding Mode Control for Aircraft Engines, Bachelor of Science in Mechanical Engineering Ohio University, Athens, Ohio August.