Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

289
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

115
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

COMBINED NEURAL NETWORK FEEDFORWARD AND RISE FEEDBACK CONTROL STRUCTURE FOR A 5 DOF UPPER-LIMB EXOSKELETON ROBOT WITH ASYMPTOTIC TRACKING

Pages

  47-62

Keywords

ROBUST INTEGRAL OF THE SIGN OF THE ERROR (RISE) FEEDBACK 
NEURAL NETWORK (NN) 

Abstract

 Control of robotic systems is an interesting subject due to their wide spectrum applications in medicine, aerospace and other industries. This paper proposes a novel continuous control mechanism for tracking problem of a 5-DOF UPPER-LIMB EXOSKELETON ROBOT. The proposed method is a combination of a recently developed robust integral of the sign of the error (RISE) feedback and neural network (NN) feed-forward terms. The feed-forward NN learns nonlinear dynamics of the system and compensates for uncertainties while the NN approximation error and nonlinear bounded disturbances are overcome by the RISE term. Typical NN-based controllers generally result in uniformly ultimately bounded (UUB) stability due to the NN reconstruction error. In this paper to eliminate this error and achieve ASYMPTOTIC TRACKING, the RISE feedback term is integrated into the NN compensator. Finally, a comparative study on the system performance is conducted between the proposed control strategy and two other conventional control methods. Simulation results illustrate the effectiveness of the proposed method.

Cites

  • No record.
  • References

    Cite

    APA: Copy

    YAZDANZAD, MARZIEH, KHOSRAVI, ALIREZA, GHADERI, REZA, & SARHADI, POURIA. (2015). COMBINED NEURAL NETWORK FEEDFORWARD AND RISE FEEDBACK CONTROL STRUCTURE FOR A 5 DOF UPPER-LIMB EXOSKELETON ROBOT WITH ASYMPTOTIC TRACKING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 6(1 (19)), 47-62. SID. https://sid.ir/paper/328786/en

    Vancouver: Copy

    YAZDANZAD MARZIEH, KHOSRAVI ALIREZA, GHADERI REZA, SARHADI POURIA. COMBINED NEURAL NETWORK FEEDFORWARD AND RISE FEEDBACK CONTROL STRUCTURE FOR A 5 DOF UPPER-LIMB EXOSKELETON ROBOT WITH ASYMPTOTIC TRACKING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2015;6(1 (19)):47-62. Available from: https://sid.ir/paper/328786/en

    IEEE: Copy

    MARZIEH YAZDANZAD, ALIREZA KHOSRAVI, REZA GHADERI, and POURIA SARHADI, “COMBINED NEURAL NETWORK FEEDFORWARD AND RISE FEEDBACK CONTROL STRUCTURE FOR A 5 DOF UPPER-LIMB EXOSKELETON ROBOT WITH ASYMPTOTIC TRACKING,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 6, no. 1 (19), pp. 47–62, 2015, [Online]. Available: https://sid.ir/paper/328786/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top