Design dual-fuzzy adaptive controller based on method backstepping for industrial robotic manipulators
Số 2 (77) 2022
Phạm Công Tảo, Trần Thị Điệp, Nguyễn Thị Thảo , Nguyễn Trương Huy
Tạp chí NCKH - Đại học Sao Đỏ
2022/06/30

In this study, a combination of multi-input fuzzy control, single-input fuzzy control, sliding mode control and backstepping control is introduced to the industrial robot manipulator (IRM). Simulation results show the high performance of this control method when compared to adouble-fuzzy backstepping sliding mode controller (DFBSMC) and Fuzzy Backstepping Sliding Mode Controller controller (FBSMC). Moreover, the effectiveness of the controller is also demonstrated through simulation and experiment results when comparing the proposed controller with FBSMC and DFBSMC. The simulation results show that the convergence speed, braking ability, grip error, stability, fast response, overshoot of the proposed controller DFBSMC  are better than the FBSMC controller. Thereby concluding, the suggested control is accordance for adaptive-robust-fuzzy double controller and can be used as supplement and replace of traditional backstepping control.

Industrial robot manipulator; robust adaptive fuzzy double control; sliding control, backstepping control
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