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A stable self-organizing fuzzy controller for robotic motion control

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2 Author(s)
Shiuh-Jer Huang ; Dept. of Mech. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan ; Ji-Shin Lee

It is well known that robotic manipulators are highly nonlinear coupling dynamic systems. It is difficult to establish an appropriate mathematical model for the design of a model-based controller. Although fuzzy logic control has a model-free feature, it still needs time-consuming work for the rules bank and fuzzy parameters adjustment. In this paper, a stable self-organizing fuzzy controller (SOFC) is proposed to manipulate the motion trajectory of a 5-degrees-of-freedom robot. This approach has a learning ability for responding to the time-varying characteristic of a robot. Its control rules bank can be established and modified continuously by online learning with zero initial fuzzy rules. In addition, this control strategy has effectively improved the stability problem of a previous SOFC. The experimental results show that this intelligent controller has a stable learning ability and good motion control capability

Published in:

IEEE Transactions on Industrial Electronics  (Volume:47 ,  Issue: 2 )