

FOLLOWUS
Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing 100081, China
[ "Hao-jie ZHANG, E-mail: haojie.bit@gmail.com" ]
Jian-wei GONG, E-mail:gjwmit@gmail.com
Received:26 December 2011,
Revised:2012-;7-;6,
Published:2012-08
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Hao-jie ZHANG, Jian-wei GONG, Yan JIANG, et al. An iterative linear quadratic regulator based trajectory tracking controller for wheeled mobile robot[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(8): 593-600.
Hao-jie ZHANG, Jian-wei GONG, Yan JIANG, et al. An iterative linear quadratic regulator based trajectory tracking controller for wheeled mobile robot[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(8): 593-600. DOI: 10.1631/jzus.C1100379.
We present an iterative linear quadratic regulator (ILQR) method for trajectory tracking control of a wheeled mobile robot system. The proposed scheme involves a kinematic model linearization technique
a global trajectory generation algorithm
and trajectory tracking controller design. A lattice planner
which searches over a 3D (
x
y
θ
) configuration space
is adopted to generate the global trajectory. The ILQR method is used to design a local trajectory tracking controller. The effectiveness of the proposed method is demonstrated in simulation and experiment with a significantly asymmetric differential drive robot. The performance of the local controller is analyzed and compared with that of the existing linear quadratic regulator (LQR) method. According to the experiments
the new controller improves the control sequences (
v
ω
) iteratively and produces slightly better results. Specifically
two trajectories
'S' and '8' courses
are followed with sufficient accuracy using the proposed controller.
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