Title :
AGV trajectory track using nonlinear model predictive
Author :
Liu, Chang-sheng
Author_Institution :
Central South Univ. of Forestry & Technol., Changsha, China
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988064
