POSITIONING CONTROL PERFORMANCES OF A ROBOTIC HAND SYSTEM

Authors

  • Mohamad Adzeem Mohamad Yuden Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Mariam Md Ghazaly Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Aliza Che Amran Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Irma Wani Jamaludin Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Khoo Hui Yee Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Mohd Rusdy Yaacob Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Zulkeflee Abdullah Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Yeo Chin Kiat Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

DOI:

https://doi.org/10.11113/jt.v79.8726

Keywords:

DC geared motor, flex sensor, PID controller, open-loop, closed loop

Abstract

Hazardous environments such as in industry sector with high chemical usage give high risks to the safety of workers. These risks can be reduced by designing robotic hand that is able to replace human works. For the industry purpose, the robotic hand needs to have a higher performance in accuracy, stability and consistency. However, the current robotic hand in industry is not flexible, which means it cannot be used for different tasks. Therefore, a multi-purpose robotic hand was developed. In this paper, the objectives of this research are to design and develop a PID controller for improving the performances of a robotic hand system. The experimental results prove that the PID controller shows good performances with the steady state error less than 0.110 for the input reference, 300 respectively.

Author Biographies

  • Mohamad Adzeem Mohamad Yuden, Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
    DEPARTMENT OF MECHATRONIC ENGINEERING, FACULTY OF ELECTRICAL ENGINEERING, UNIVERSITI TEKNIKAL MALAYSIA MELAKA (UTEM)
  • Mariam Md Ghazaly, Center for Robotics and Industrial Automation (CeRIA), Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
    DEPARTMENT OF MECHATRONIC ENGINEERING, FACULTY OF ELECTRICAL ENGINEERING, UNIVERSITI TEKNIKAL MALAYSIA MELAKA (UTEM)

References

Patar, M. N. A. A., Komeda, T., Yee, L. C. and Mahmud, Jamaluddin. 2015. Model-Based Systems Engineering of a Rehabilitation Device. Jurnal Teknologi. 76(4): 101-106.

Leonardis, D., Barsotti, M., Loconsole, C., Solazzi, M., Troncossi, C. M., Castelli, V. P., Procopio, C., Lamola, G., Chisari. C., Bergamasco, M. and Frisoli, A. 2015. An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation. IEEE Transactions on Haptics. 8(2): 140-151.

Saggio, M. and Bizzari, M. 2014. Feasibility of Teleoperations with Multi-Fingered Robotic Hand for Safe Extravehicular Manipulations. Aerospace Science and Technology. 39: 666-674.

Chen, F., Canella, F., Canali, C. Hauptman, T., Sofia, G. and Caldwell, D. 2014. In-Hand Precise Twisting and Positioning by a Novel Dexterous Robotic Gripper for Industrial High-Speed Assembly. IEEE International Conference on Robotics and Automotion (ICRA). 270-275.

Tongrod, N., Lokavee, S. and Kerdcharoen, T. 2011. Gestural System Based On Multi-Functional Sensors and Zigbee Networks for Squad Communication. IEEE International Conference on Defense Science Research. 1-4.

Saggio, G. 2011. Bend Sensor Arrays for Hand Movement Tracking In Biomedical Systems. IEEE International Workshop on Advances in Sensors and Interfaces (IWASI). 51-54.

Du, H., Xiong, W., Wang, Z. and Chen, L. 2011. Design of a New Type of Pneumatic Force Feedback Data Glove. IEEE International Conference on Fluid Power and Mechatronic (FPM). 292-296.

Hasegawa, Y., Shikida, M., Ogura, D. and Sato, K. 2007. Glove Type of Wearable Sensor Produced By Artificial Hollow Fiber. IEEE International Conference on Solid–State Sensors, Actuators and Microsystem.

Wu, Huang, J., Wang, Y., Xing, K. and Xu, Q. 2009. Fuzzy PID Control of a Wearable Rehabilitation Robotic Hand Driven by Pneumatic Muscles. International Symposium on Micro-NanoMechatronics and Human Science. 408-413.

Kasim, M. K. M., Shauri, R. L. A. and Nasir, K. 2015. PID Position Control of Three-Fingered Hand for Different Grasping Styles. IEEE 6th Control and System Graduate Research Colloquium UITM Shah Alam, Malaysia. 9-12.

Li, Y., Ang, K. H. and Chong, C. Y. 2006. PID Control System Analysis and Design. IEEE Control System Magazine. 26(1): 32-41.

Shauri, R. L. A., Salleh, N. M and Hadi, A. K. A. 2014. Development of 7-DOF Three-Fingered Robotic Hand for Industrial Work. IEEE International Conference on Control System, Computing and Engineering, Penang, Malaysia. 70-74.

Lian, R. 2012. Grey-Prediction Self Organizing Fuzzy Controller for Robotic Motion Control. Information Science. 73-89.

Limnaios, G. and Tsourveloudis, N. 2012. Fuzzy Logic Controller for a Mini Coaxial Indoor Helicopter. Journal of Intelligent and Robotic System: Theory and Application. 65(4): 187-201.

Sato, K. and Maeda, G. 2009. A Practical Control Method for Precision Motion-Improvement of NCTF Control Method for Continuous Motion Control. Precision Engineering. 33(2): 175:186.

Mazurkiewicsz, J. 2013. Comparing Motor Options for Motion Control Applications. Penton Media, Inc., 50-62.

Lee, J. W. and Kim, T. W. 2011. Design and Experimental Analysis of Embedded Servo Motor Driver for Robot Finger Joints. IEEE International Conference on Ubiquitous Robots and Ambient Intelligence. 548-551.

Mouri, T. and Kawasaki, H. 2007. A Novel Anthropomorphic Robot Hand and its Master Slave System. Itech. 3474–3479.

Nishino, S., Tsujiuchi, N., Kouzumi, T., Komatsubara, H., Kudawara, T. and Shimizu, M. 2007. Development of Robot Hand with Pneumatic Actuator and Construct of Master-Slave System. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cite Internationale. 3027-3030.

Mizuno, T., Tsujiuchi, N., Koizumi, T., Nakamura, Y. and Sugiura, M. Spring-Damper Model and Articulation Control of Pneumatic Artificial Muscle Actuators. 2011. IEEE Int. Conf. Robot. Biomimetics, ROBIO. 1267-1272.

Nuchkrua, T., Leephakpreeda, T. and Mekarporn, T. Development of Robot Hand with Pneumatic Artificial Muscle for Rehabilitation Application. 2013. Nano/Molecular Med. Eng. (NANOMED). IEEE 7th Int. Conf. 55-58.

Wei, L. J., Shukor, A. Z. H. and Jamaluddin, M. H. 2015. Workspace Control of Two Link Planar Robot Using Micro-Box 2000. Jurnal Teknologi. 77(20): 9-18.

Yakub, M. F. and R. A. 2011. Performance Improvement of Improved Practical Control Method for Two-Mass PTP Positioning System in the Presence of Actuator Saturation. IEEE Applied Power Electronics Colloquium (IAPEC). 92-97.

Nor, R. M. and Shin-Hong, C. 2014. Robustness Evaluation for Point-to-Point Positioning Control of a One Mass Rotary System. International Conference on Control, Automation and Systems (ICCAS). 375-380.

Wahyudi., Sato, K. and Shimokohbe, A. 2003. Characteristics of Practical Control for Point-to-Point (PTP) Positioning Systems-Effect of Design Parameters and Actuator Saturation on Positioning Performance. Precision Engineering. 157-169.

Zollo, L., Rocella, S., Guglielmelli, E., Carrozza, M. C. and Dario, P. 2007. Biomechatronic Design and Control of an Anthropomorphic Artificial Hand for Prosthetic Hand Robotic Application. IEEE/ASME Trans. Mechatronic. 12(4): 418-429.

Downloads

Published

2016-12-29

Issue

Section

Science and Engineering

How to Cite

POSITIONING CONTROL PERFORMANCES OF A ROBOTIC HAND SYSTEM. (2016). Jurnal Teknologi, 79(1). https://doi.org/10.11113/jt.v79.8726