Adaptive Control of DC Motor for One-DOF Rehabilitation Robot

Authors

  • Junaid Zahid Universiti Teknologi Malaysia
  • Kang Xiang Khor Universiti Teknologi Malaysia
  • Che Fai Yeong Universiti Teknologi Malaysia
  • Eileen Lee Ming Su Universiti Teknologi Malaysia
  • Feng Duan

DOI:

https://doi.org/10.11113/elektrika.v16n3.29

Abstract

This paper presents an adaptive control technique to control the movement of DC motor for one-DOF rehabilitation robot. Different types of controllers are used to provide accurate positioning of the motor for robots. PID controller is one of the commonly used controllers. However, one limitation of PID controller is that it is not able to adapt the variations in the load, as limb stiffness can be varied from patient to patient and PID is tuned for standard stiffness. Whenever the unknown and inaccessible load torque is imposed, the performance of the robot will be affected and it will have steady state error. Therefore, in this project a model reference adaptive controller (MRAC) is designed for the robot to reduce the positioning error and make the robot beneficial for a wide range of stroke patients. The simulated results show the designed controller is able to cope with the variations in limb’s stiffness of the patients without the aid of any additional stiffness detection sensors.

Author Biography

Junaid Zahid, Universiti Teknologi Malaysia

Master student, Faculty of Electrical Engineering

References

Carlos Rossa, José Lozada, Alain Micaelli,â€Interaction power flow based control of a 1-DOF hybrid haptic interfaceâ€, International Conference EuroHaptics 2012

Kang Xiang Khor, Patrick Jun Hua, Hisyam Abdul Rahman, Che Fai Yeong, Eileen Lee Ming Su, Aqilah Leela T. Narayanand, “A novel haptic interface and control algorithm for robotic rehabilitation of stoke patientsâ€, IEEE Haptics Symposium 2014

Tan Ping Hua, Yeong Che Fai, Ricky Yap, Eileen Su Lee Ming, “Development of a low cost haptic knobâ€, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering Vol:5, No:10, 2011

H.A. Rahman, T.P. Hua, R. YaP , C.F. Yeong, E.L.M. Su, â€One degree of freedom haptic deviceâ€, International Symposium on Robotics and Intelligent Sensors (2012)

K. X. Khor, P. J. H. Chin, A. R. Hisyam, C.F. Yeong, A. L. T. Narayanan, E. L. M. Su, “Development of CR2-Hapticâ€, IEEE Conference on Biomedical Engineering and Sciences 2014

D. S. Andreasen, A.A.Aviles, S.K. Allen, K.B.Guthrie, B.R.Jennings, S.H. Sprigle, “Exoskeleton for forearm pronation and supination rehabilitation†(2006)

Hamed N. Rahimi, Ian Howard, Lei Cui, “Neural adaptive assist-as-needed control for rehabilitation robotsâ€, Australasian Conference on Robotics and Automation (ACRA2016)

Ali Utku Pehlivan, Fabrizio Sergi, and Marcia K. O’Malley, “Adaptive control of a serial-in-parallel robotic rehabilitation deviceâ€, IEEE Int Conf Rehabil Robot. 2013

Juan C. P´erez Ibarra, Adriano A. G. Siqueira, “Impedance control of rehabilitation robots for lower limbs". Reviewâ€, Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robot control 2014

M.Fallahi, S.Azadi, “Adaptive control of a DC motor using neural network sliding mode controlâ€, Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol II

Neenu Thomas, Dr. P. Poongodi, “position control of DC motor using genetic algorithm based PID controllerâ€, Proceedings of the World Congress on Engineering 2009 Vol II

Preeti agrawal, Rameswar singh, Renu Yadav, “Model reference adaptive control (mrac) techniques for control of DC motorâ€, International Journal Of Innovation In Engineering Research & Management 2015

Domenico Formica, Steven K. Charles, Loredana Zollo, Eugenio Guglielmelli, Neville Hogan, and Hermano I. Krebs, “The passive stiffness of the wrist and forearmâ€, Journal of Neurophysiology 2012 Aug 15

Hazlina Selamat, Rubiyah Yusof, Introduction to Adaptive and Self-Tuning Control, 2014

K. X. Khor, P. J. H. Chin, C. F. Yeong, E. L. M. Su, A. L. T. Narayanan, H. Abdul Rahman, and Q. I. Khan, “Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects,†IEEE Trans. Neural Syst. Rehabil. Eng., pp. 1–1, 2017.

H. Abdul Rahman, K. X. Khor, C. F. Yeong, E. L. M. Su, and A. L. T. Narayanan, “The potential of iRest in measuring the hand function performance of stroke patients,†Biomed. Mater. Eng., vol. 28, no. 2, pp. 105–116, Mar. 2017.

K. X. Khor, H. A. Rahman, S. K. Fu, L. S. Sim, C. F. Yeong, and E. L. M. Su, “A novel hybrid rehabilitation robot for upper and lower limbs rehabilitation training,†Procedia Comput. Sci., vol. 42, no. C, pp. 293–300, 2014.

H. A. Rahman, K. X. Khor, L. S. Sim, C. F. Yeong, and E. L. M. Su, “Passive upper limb assessment device,†Procedia Comput. Sci., vol. 42, no. C, pp. 287–292, 2014.

K. X. Khor, P. J. H. Chin, H. A. Rahman, C. F. Yeong, E. L. M. Su, and A. L. T. Narayanan, “A novel haptic interface and control algorithm for robotic rehabilitation of stoke patients,†in 2014 IEEE Haptics Symposium (HAPTICS), 2014, pp. 421–426.

K. X. Khor, P. J. H. Chin, C. F. Yeong, E. L. M. Su, A. L. T. Narayanan, H. Abdul Rahman, and Q. I. Khan, “Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects,†IEEE Trans. Neural Syst. Rehabil. Eng., pp. 1–1, 2017.

A. Theriault, M. Nagurka, and M. J. Johnson, “Design and development of an affordable haptic robot with force-feedback and compliant actuation to improve therapyfor patients with severe hemiparesis,†IEEE Trans. Haptics, vol. 7, no. 2, pp. 161–174, 2014.

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Published

2017-12-24

How to Cite

Zahid, J., Xiang Khor, K., Yeong, C. F., Ming Su, E. L., & Duan, F. (2017). Adaptive Control of DC Motor for One-DOF Rehabilitation Robot. ELEKTRIKA- Journal of Electrical Engineering, 16(3), 1–5. https://doi.org/10.11113/elektrika.v16n3.29

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Articles