TY - JOUR
T1 - Adaptive perturbation rejection control and driving voltage circuit designs of wheeled mobile robots
AU - Jin, Xiaozheng
AU - Yu, Jizhou
AU - Qin, Jiahu
AU - Zheng, Wei Xing
AU - Chi, Jing
N1 - Publisher Copyright:
© 2020 The Franklin Institute
PY - 2021/1
Y1 - 2021/1
N2 - This paper addresses the robust trajectory tracking control problem for a class of wheeled robotic systems with perturbations caused by measurement errors, internal uncertainties, and exogenous disturbances. An adaptive technique is utilized to estimate the effects of perturbations. Then, on the basis of the adaptive estimations, perturbation rejection control schemes are developed to construct the kinematic control and dynamic control strategies. By utilizing Lyapunov stability theory, bounded tracking of the desired trajectory and asymptotic tracking of auxiliary azimuthal angular velocity and forward speed of the robot can be achieved respectively in the fact of perturbations. Furthermore, the adaptive perturbation rejection control (APRC) strategies are implemented physically by analog circuits to generate driving voltages of DC motors in the robot reality. The efficiency of the proposed trajectory tracking control method is validated by a robotic system.
AB - This paper addresses the robust trajectory tracking control problem for a class of wheeled robotic systems with perturbations caused by measurement errors, internal uncertainties, and exogenous disturbances. An adaptive technique is utilized to estimate the effects of perturbations. Then, on the basis of the adaptive estimations, perturbation rejection control schemes are developed to construct the kinematic control and dynamic control strategies. By utilizing Lyapunov stability theory, bounded tracking of the desired trajectory and asymptotic tracking of auxiliary azimuthal angular velocity and forward speed of the robot can be achieved respectively in the fact of perturbations. Furthermore, the adaptive perturbation rejection control (APRC) strategies are implemented physically by analog circuits to generate driving voltages of DC motors in the robot reality. The efficiency of the proposed trajectory tracking control method is validated by a robotic system.
UR - https://hdl.handle.net/1959.7/uws:61142
U2 - 10.1016/j.jfranklin.2020.11.013
DO - 10.1016/j.jfranklin.2020.11.013
M3 - Article
SN - 0016-0032
VL - 358
SP - 1185
EP - 1213
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 2
ER -