Journal of System Simulation
Abstract
Abstract: Aiming at the underactuation of the Wheeled Mobile Robot (WMR) and considering the various limitations and constraints during the actual operation, a trajectory planning method based on the Model Predictive Control (MPC) is proposed.This method can deal with the kinematics constraints, physical constraints and obstacle avoidance constraints unifiedly and effectively. It can generate the feasible trajectories that conform to the characteristics of the car body model and satisfy the various constraints. It fully guarantees the feasibility, safety and efficiency of the autonomous driving of wheeled mobile robots. The simulation results fully verify the effectiveness of the proposed method.
Recommended Citation
Bo, You; Wang, Mingrui; Zhi, Li; and Liang, Ding
(2020)
"Trajectory Planning of Wheeled Mobile Robot Based on Model Predictive Control,"
Journal of System Simulation: Vol. 32:
Iss.
4, Article 6.
DOI: 10.16182/j.issn1004731x.joss.18-0476
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss4/6
First Page
591
Revised Date
2018-11-29
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0476
Last Page
600
CLC
TP242
Recommended Citation
You Bo, Wang Mingrui, Li Zhi, Ding Liang. Trajectory Planning of Wheeled Mobile Robot Based on Model Predictive Control[J]. Journal of System Simulation, 2020, 32(4): 591-600.
DOI
10.16182/j.issn1004731x.joss.18-0476
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons