Title :
An approach to automatic tuning of a fuzzy controller for manipulators
Author :
Li, Wei ; Sun, ZhengQi ; Janocha, Hartmut
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
This paper presents an approach to automatic tuning of fuzzy logic controller for manipulators, which modifies the shape of membership functions automatically according to previous responses to achieve a desired control performance. On the basis of defining a set of cubic splines as membership functions regarding change-in-error e˙j (t), the optimum membership functions are found by the Nelder and Mead´s simplex algorithm. The proposed control scheme consists of a traditional fuzzy logic controller and a conventional derivative controller. In order to demonstrate the effectiveness and the robustness of the control scheme, we report a number of simulation results involving both step and tracking control of a two-link manipulator in the presence of load and friction changes
Keywords :
fuzzy control; manipulators; optimisation; self-adjusting systems; splines (mathematics); tracking; tuning; automatic tuning; cubic splines; derivative controller; fuzzy controller; manipulators; membership functions; optimisation; robustness; simplex algorithm; step control; tracking control; Automatic control; Computer science; Control systems; Friction; Fuzzy control; Fuzzy logic; Laboratories; Manipulator dynamics; Robust control; Shape control;
Conference_Titel :
Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on
Conference_Location :
Munich
Print_ISBN :
0-7803-1933-8
DOI :
10.1109/IROS.1994.407365