Real-time predictive sliding mode control method for AGV with actuator delay
作者机构:School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200444People's Republic of China College of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing 210094People's Republic of China
出 版 物:《Advances in Manufacturing》 (先进制造进展(英文版))
年 卷 期:2019年第7卷第4期
页 面:448-459页
核心收录:
学科分类:08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置]
基 金:This work was supported by the National Natural Science Foundation of China(Grant Nos.61903241,61304223,61603191,61873158,61573237) the China Postdoctoral Science Foundation(Grant No.2018M630424) the Natural Science Foundation of Shanghai Municipality(Grant No.18ZR1415100)
主 题:Predictive sliding mode control-Multi-sensor fusion Trajectory tracking Real-time decoupling
摘 要:In this paper,a predictive sliding mode control method based on multi-sensor fusion is proposed to solve the problem of insufficient accuracy in trajectory tracking caused by actuator *** controller,based on the kinematics model,uses an inner and outer two-layer structure to achieve decoupling of position control and heading control.A reference positional change rate is introduced into the design of controller,making the automatic guided vehicle(AGV)capable of real-time predictive control ability.A stability analysis and a proof of predictive sliding mode control theory are *** experimental results show that the new control algorithm can improve the performance of the AGV controller by referring to the positional change rate,thereby improving the AGV operation without derailing.