Abstract
Abstract
In order to solve the trajectory tracking control problem of double-steering automated guided vehicle (AGV), considering various constraints in practical work, a trajectory tracking controller based on model predictive control is designed. Firstly, the kinematic model of double-steering AGV is established. Then, a trajectory tracking model based on model predictive control is designed to achieve fast and accurate tracking performance. Finally, the influence of the predicted time-domain length on the system performance is analyzed by simulation, and the simulation experiment is compared with that of the AGV based on the proportional integral differential trajectory tracking controller. The experiment result shows that the model predictive controller can meet all kinds of constraints in actual work, and complete the tracking of the continuous high curvature target path efficiently and accurately in real-time with high robustness.
Subject
General Physics and Astronomy
Reference12 articles.
1. Backstepping approach for autonomous mobile robot trajectory tracking;Benaoumeur;Indonesian Journal of Electrical Engineering and Computer Science,2016
2. Small agricultural machinery path intelligent tracking control based on fuzzy immune PID;Xiong;Robot,2015
3. A control scheme for low speed automated vehicles with double steering;Ahmad,1994
4. Trajectory generation and tracking control for double-steering tractor–trailer mobile robots with on-axle hitching;Yuan;IEEE Transactions on Industrial Electronics,2015
5. Four-wheel steering and active suspension integrated control with a model prediction algorithm;Zhang;Science Technology and Engineering,2017
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