Discrete time robust control of robot manipulators in the task space using adaptive fuzzy estimator | ||
| Journal of AI and Data Mining | ||
| مقاله 12، دوره 3، شماره 1، خرداد 2015، صفحه 113-120 اصل مقاله (597.45 K) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.5829/idosi.JAIDM.2015.03.01.12 | ||
| نویسندگان | ||
| M. M. Fateh* ؛ S. Azargoshasb | ||
| Electrical Engineering Department, University of Shahrood, Shahrood, Iran. | ||
| چکیده | ||
| This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. Parameters of the fuzzy estimator are adapted to minimize the estimation error using a gradient descent algorithm. The proposed discrete control is robust against all uncertainties as verified by stability analysis. The proposed robust control law is simulated on a SCARA robot driven by permanent magnet dc motors. Simulation results show the effectiveness of the control approach. | ||
| کلیدواژهها | ||
| Discrete Control؛ Uncertainty Estimator؛ Free-model Control؛ Adaptive Fuzzy Estimator؛ Task-space؛ SCARA Robot | ||
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