DocumentCode
2812676
Title
AGV trajectory track using nonlinear model predictive
Author
Liu, Chang-sheng
Author_Institution
Central South Univ. of Forestry & Technol., Changsha, China
fYear
2011
fDate
15-17 July 2011
Firstpage
4715
Lastpage
4718
Abstract
Automated guided vehicle (AGV) system is widely used in manufacturing industry, port and dock as a material conveying robot in logistics system. AGV is flexible and intellectualized. But there are many factors make error during AGV implementing given route. This paper applies predictive control theory to solve implement control problem. A proportional integral gain self-adaptive regulator is designed. With the implement controller, AGV can perform given route well.
Keywords
PI control; automatic guided vehicles; logistics; mobile robots; nonlinear control systems; predictive control; self-adjusting systems; AGV trajectory track; automated guided vehicle system; logistics system; manufacturing industry; material conveying robot; nonlinear model predictive control; predictive control theory; proportional integral gain self-adaptive regulator; Frequency modulation; Mobile communication; Mobile robots; Planning; Predictive control; Predictive models; Trajectory; AGV; Nonlinear model predictive; trajectory track;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988064
Filename
5988064
Link To Document