TITLE:
Self-Structured Organizing Single-Input CMAC Control for De-icing Robot Manipulator
AUTHORS:
Thanhquyen Ngo, Yaonan Wang, Youhui Chen, Zan Xiao
KEYWORDS:
Cerebellar Model Articulation Controller (CMAC), De-Icing Robot Manipulator, Gradient-Descent Method, Self-Organizing, Signed Distance
JOURNAL NAME:
Intelligent Control and Automation,
Vol.2 No.3,
August
8,
2011
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.