DocumentCode :
2004756
Title :
Study on High Accuracy Control System for a Hybrid Seven-Bar Actuator
Author :
Zhang, Ke ; Wang, Cuihong
Author_Institution :
Shanghai Inst. of Technol., Shanghai
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
1329
Lastpage :
1334
Abstract :
Hybrid seven bar actuator is a typical planar parallel robot. It remains with position control following system. Position control accuracy of system determines the profile accuracy of hybrid actuator. According to the characteristics of the hybrid seven bar actuator, incorporating the grey prediction, repetitive control and the conventional PID control, a design method of the Grey prediction Repetitive PID control algorithm (GRPID) is presented for the first time. The hybrid control algorithm can estimate unsure parameters and disturbance of system using grey prediction, and compensate control in terms of the prediction results, and this may improve control quality and robustness of repetitive control for controlling periodic motion. The simulation results show that this algorithm has better performances than that of the conventional repetitive control system. It indicates the control method has better application effect for hybrid actuator taking on a characteristic of periodic motion.
Keywords :
actuators; position control; robots; three-term control; grey prediction; high accuracy control system; hybrid seven-bar actuator; periodic motion; planar parallel robot; position control; repetitive PID control algorithm; Actuators; Control systems; Design methodology; Motion control; Motion estimation; Parallel robots; Parameter estimation; Position control; Robust control; Three-term control; PID; control system; greyforecasting; hybrid actuator; repetitive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376576
Filename :
4376576
Link To Document :
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