Cascade tracking control for AGV based on Kalman filter

被引：0

作者：

Yin X. ^{[1
]}

Zhao H. ^{[1
]}

Wu Y. ^{[1
]}

Xiong D. ^{[1
]}

机构：

[1] School of Machinery and Automobile Engineering, Hefei University of Technology

来源：

Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery | 2010年 / 41卷 / 02期

关键词：

AGV; Cascade control; Kalman filter; Trajectory tracking;

D O I：

10.3969/j.issn.1000-1298.2010.02.036

中图分类号：

学科分类号：

摘要：

Aimed at the trajectory tracking control problem for the kinematics model of three-wheeled AGV with nonholonomic constraint, a cascade tracking control algorithm was proposed. The algorithm broke the system down into two nonlinear time-varying systems and finally realized the global asymptotic stability of the control system using cascade control method and state derivative feedback control method. Furthermore, the noise problem of state estimation was solved successfully by using a Kalman filter, which improved the localization precision and enhanced the control effectiveness. The designed control algorithm is of strong robustness and generality for kinematics model of other wheeled mobile robots. Computer simulation results showed that the system can be stable in a short time which verifies its effectiveness.

引用

页码：180 / 184

页数：4

共 10 条

[1]

Kanayama Y., Kimura Y., Miyazaki F., Et al., A stable tracking control method for an autonomous mobile robot, Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1, pp. 384-389, (1990)

[2]

Wu W., Chen H., Wang Y., Global trajectory tracking control of mobile robots, Acta Automatica Sinica, 27, 3, pp. 326-331, (2001)

[3]

Fierro R., Lewis F.L., Control of a nonholonomic mobile robot: backstepping kinematics into dynamics, Proceedings of the 34th IEEE Conference on Decision and Control, 4, pp. 3805-3810, (1995)

[4]

Dierks T., Jagannathan S., Control of nonholonomic mobile robot: backstepping kinematics into dynamics, 16th IEEE International Conference on Control Applications Part of IEEE Multi-conference on Systems and Control, pp. 94-99, (2007)

[5]

Wu Q., Yan M., He Y., Fast terminal sliding mode tracking controller design for nonholonomic mobile robot, Systems Engineering and Electronics, 29, 12, pp. 2127-2130, (2007)

[6]

Fukao T., Nakagawa H., Adachi N., Adaptive tracking control of a nonholonomic mobile robot, IEEE Transactions on Robotics and Automation, 16, 5, pp. 609-615, (2000)

[7]

Farzad P., Karlsson M.P., Adaptive control of dynamic mobile robots with nonholonomic constraints, Computers and Electrical Engineering, 28, 4, pp. 241-253, (2002)

[8]

Sheng L., Goldenberg A.A., Neural-network control of mobile manipulators, IEEE Transactions on Neural Networks, 12, 5, pp. 1121-1133, (2001)

[9]

Horikawa S., Furuhashi T., Uchikawa1 Y., On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm, IEEE Trans Neural Network, 3, 5, pp. 801-806, (1992)

[10]

Zhou J., Zhang M., Wang M., Et al., Path tracking for agricultural vehicle based on fuzzy control, Transactions of the Chinese Society for Agricultural Machinery, 40, 4, pp. 151-156, (2009)

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