Velocity observer-based iterative learning control for robot manipulators

التفاصيل البيبلوغرافية
العنوان: Velocity observer-based iterative learning control for robot manipulators
المؤلفون: Farah Bouakrif, Djamel Boukhetala, Fares Boudjema
المصدر: International Journal of Systems Science. 44:214-222
بيانات النشر: Informa UK Limited, 2013.
سنة النشر: 2013
مصطلحات موضوعية: Observer (quantum physics), Control and Systems Engineering, Control theory, Stability theory, Control system, Bounded function, Iterative learning control, Trajectory, Robot, Computer Science Applications, Theoretical Computer Science, Mathematics
الوصف: This article addresses the problem of designing an iterative learning control for trajectory tracking of rigid robot manipulators subject to external disturbances, and performing repetitive tasks, without using the velocity measurement. For solving this problem, a velocity observer having an iterative form is proposed to reconstruct the velocity signal in the control laws. Under assumptions that the disturbances are repetitive and the velocities are bounded, it has been shown that the whole control system robot plus controller plus observer is asymptotically stable and the observation error is globally asymptotically stable, over the whole finite time-interval when the iteration number tends to infinity. This proof is based upon the use of a Lyapunov-like positive definite sequence, which is shown to be monotonically decreasing under the proposed observer–controller schemes.
تدمد: 1464-5319
0020-7721
DOI: 10.1080/00207721.2011.600467
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ab01bb8a319674023999d66f90b179f2
https://doi.org/10.1080/00207721.2011.600467
رقم الانضمام: edsair.doi...........ab01bb8a319674023999d66f90b179f2
قاعدة البيانات: OpenAIRE
الوصف
تدمد:14645319
00207721
DOI:10.1080/00207721.2011.600467