DocumentCode :
2560735
Title :
Neuroendoerine-based intelligent control of a 6-DOF parallel robot with redundant drivers
Author :
Chen, Ruixiang ; Ren, Lihong ; Ding, Yongsheng
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
2152
Lastpage :
2155
Abstract :
A new structure of an 8-input 6-DOF (degree-of-freedom) parallel robot is introduced, and its inverse kinematics is built up. Based on the hormone modulation of neuroendocrine system, we present an intelligent controller to be suitable for the characteristics of the 8-input 6-DOF parallel robot with redundant drivers. We choose intelligent PID controller as the basic controller, the parameter of PID is adjusted real-time by the principle of regulating cortin and the characteristic of parallel manipulator. Since it is difficult to build the exactly dynamics model of the parallel robot, we make use of the SimMechanics in MATLAB to build the machine system model and then control it with the proposed intelligent controller. The simulation result shows that the controller can control the movement of the robot effectively. They can restrain the bad influence of the parameter and load change of parallel manipulator.
Keywords :
manipulator dynamics; mathematics computing; neurocontrollers; redundant manipulators; three-term control; 6-DOF parallel robot; MATLAB; SimMechanics; hormone modulation; intelligent PID controller; inverse robot kinematics; machine system model; neuroendoerine-based intelligent control; parallel manipulator; parallel robot dynamic model; redundant driver; regulating cortin; Biochemistry; Control systems; Intelligent control; Intelligent robots; Kinematics; MATLAB; Manipulator dynamics; Mathematical model; Parallel robots; Three-term control; SimMechanics; intelligent controller; neuroendocrine system; parallel robot; redundant driver;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597705
Filename :
4597705
Link To Document :
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