Browse > Article
http://dx.doi.org/10.6109/jkiice.2013.17.11.2499

The Study on Dynamic Position Control base on Neural Networks, Image Processing and CAN Communication  

Kim, Gwan-Hyung (Department of Computer Engineering, Tongmyong University)
Kwon, Oh-Hyun (Department of Computer Engineering, Tongmyong University)
Sin, Dong-Suk (Department of Computer Engineering, Tongmyong University)
Byun, Gi-Sik (Department of Control & Instrumentation, Pukyung National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.11, 2013 , pp. 2499-2504 More about this Journal
Abstract
Applications of dynamic position control are especially focused on cancellation of unknown disturbance against nonlinear dynamic plants. Control performance is technically dependent upon observation methodology of such disturbance signals. This paper presents a novel control strategy by using linear actuators based on CAN communication networks. Disturbance is measured from placing a ball on a flat plant and image processing technique is applied to observe dynamic position of a ball system. We devise a neural network based PI control system to realize robust control of the dynamic system.
Keywords
Image Processing; CAN; Linear Actuator; Neural Networks;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 G. C. Choe. J. M. Sung, B. S. Kim, "Adaptive Control Design for Missile using Neural Networks Augmentation of Existing Controller," Journal of institute of control robotics and systems, vol. 14 no. 12, pp. 1218-1225, 2008.   과학기술학회마을   DOI   ScienceOn
2 W. P. Hong, G. U. Jung, "CAN Based Networked Intelligent Multi-Motor Control System Using DSP2812 Microprocessor," The Korean Institute of Illuminating and Electrical Installation Engineers, vol. 19, no. 8, pp. 109-115, 2005.   과학기술학회마을   DOI   ScienceOn
3 S. Y. Cho, H. R. Byun, H. K. Lee, J. H. Cha, "Hand Gesture Recognition from Kinect Sensor Data," Journal of broadcast engineering, vol. 17, no. 3, pp. 447-458, 2012.   과학기술학회마을   DOI   ScienceOn
4 H. C. Sin, Y. Sim, S. R. Kim, U. J. Sun, H. Z. Min, Y. H. Hong. P. G. Lee, "Performance Improvement of Eye Tracking System using Reinforcement Learning," The Institute of Internet, Broadcasting and Communication, vol. 13, no. 2, pp. 171-179, 2013.   과학기술학회마을   DOI   ScienceOn
5 Satoshi, Yamaguchi, Hidekiyo, Itakura, "Neural Network Learning for a Manipulator Inverse Kinematics Problem Using a Forward Model," International Conference On Neural Information Processing, vol. 3, no. 2, pp. 1181-1186, 1994.
6 Sahin Yıldırım, Ikhal Eski, "A QP Artificial Neural Network Inverse Kinematic Solution for Accurate Robot Path Control," JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, vol. 20, no. 7, pp. 917-928, 2006.   DOI   ScienceOn
7 D. G. Jung, D. G. Gang, and U. G. Na, "A Real-Time Head Tracking Algorithm Using Mean-Shift Color Convergence and Shape Based Refinement," Journal of semiconductor technology and science, vol. 42, no. 6, pp. 1-8, 2005.   과학기술학회마을
8 Y. S. Jo, J. S. Lee, "A Study on Tracking Algorithm for Moving Object Using Partial Boundary Line Information," Korea Information Processing Society, vol. 8-b, no. 5, pp. 539-548, 2001.   과학기술학회마을
9 Y. S. Jo, J. S. Lee, "A Study on Effective Moving Object Segmentation and Fast Tracking Algorithm," Korea Information Processing Society, vol. 9-b, no. 3, pp. 359-368, 2002.   과학기술학회마을   DOI   ScienceOn
10 D.Comaniciu, V.Ramesh, P.Meer, "Real-time tracking of non-rigid objects using mean shift," IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 142-149, 2000.
11 D. G. Kim, OpenCV programming, Kame, 2011.
12 H. Y. Han, "Introduction to Pattern Recognition", Hanbit Media, 2009.
13 Y. R. Kim, U. E. Kim, J. S. Jang, and S. H. Bak, "Mobile Robot Control using Hand Shape Recognition", Journal of semiconductor technology and science, vol. 45, no. 4, pp. 34-40, 2008.   과학기술학회마을