期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 67, 期 5, 页码 4046-4055出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2019.2920599
关键词
Adaptive systems; Backstepping; Fuzzy logic; Neural networks; Service robots; Explosions; Adaptive backstepping control; command filtered control; flexible-joint (FJ) robots; fuzzy control
资金
- National Science Foundation of China [61773051, 61773072, 61761166011]
- Fundamental Research Fund for the Central Universities [2017JBZ003]
The precise tracking control problem for n-link flexible-joint (FJ) robotic systemsis addressed in this paper. A new adaptive fuzzy command filtered control strategy is presented, where fuzzy logic systems are utilized to approximate the unknown nonlinearities of FJ robot systems. Compared with existing backstepping-based methods, the proposed scheme can not only overcome the so-called explosion of complexity problem, but also reduce filter errors because of the introducing of an error compensation mechanism. Moreover, regardless of the number of fuzzy rules, only one parameter is required to be adjusted online, which reduces significantly the computational cost. The proposed scheme can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero. The simulation results of a two-link robot system confirm our theoretical analysis and a comparison study demonstrates the advantages of the design method in comparison with existing results, such as the backstepping method and the dynamic surface control method.
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