DocumentCode :
131643
Title :
Research on Path Tracking Predictive Control for Vision-Guided AGV
Author :
Zhang Jingtian ; Li Zhongming ; Weng Xun ; Yang Fuxing
Author_Institution :
Beijing Univ. of Po stsand Telecommun., Beijing, China
fYear :
2014
fDate :
10-11 Jan. 2014
Firstpage :
524
Lastpage :
528
Abstract :
A predictive controller based on global gradient descent algorithm is designed for the problem of the path tracking of the Vision-guided AGV with nonholonomic constraints characteristics. The predictive controller can generates a set of control sequence which could eliminate all errors simultaneously under the constraints of control input and the constraints of state. In the time of solving optimization problems, a set of initial control sequence is generated based on the principle of gradient descent, and then optimizes the initial sequence from a global perspective with improved gradient descent algorithm which takes the entire control sequences as optimization goals. It can solve the affection of various constraints to AGV control effect. This algorithm is simple, targed, and the control process is fast and smooth, and meet the actual control needs.
Keywords :
automatic guided vehicles; gradient methods; mobile robots; position control; predictive control; AGV control effect; control sequence set; global gradient descent algorithm; nonholonomic constraint characteristics; optimization problems; path tracking predictive control; vision-guided AGV; Automation; Mechatronics; Global optimization; Gradient descent; Model predict; Nonholonomic constraint; Path tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
Type :
conf
DOI :
10.1109/ICMTMA.2014.127
Filename :
6802745
Link To Document :
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