ICA  Vol.2 No.3 , August 2011
Self-Structured Organizing Single-Input CMAC Control for De-icing Robot Manipulator
Abstract: This paper presents a self-structured organizing single-input control system based on differentiable cerebellar model articulation controller (CMAC) for an n-link robot manipulator to achieve the high-precision position tracking. In the proposed scheme, the single-input CMAC controller is solely used to control the plant, so the input space dimension of CMAC can be simplified and no conventional controller is needed. The structure of single-input CMAC will also be self-organized; that is, the layers of single-input CMAC will grow or prune systematically and their receptive functions can be automatically adjusted. The online tuning laws of single-input CMAC parameters are derived in gradient-descent learning method and the discrete-type Lyapunov function is applied to determine the learning rates of the proposed control system so that the stability of the system can be guaranteed. The simulation results of three-link De-icing robot manipulator are provided to verify the effectiveness of the proposed control methodology.
Cite this paper: nullT. Ngo, Y. Wang, Y. Chen and Z. Xiao, "Self-Structured Organizing Single-Input CMAC Control for De-icing Robot Manipulator," Intelligent Control and Automation, Vol. 2 No. 3, 2011, pp. 241-250. doi: 10.4236/ica.2011.23029.

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