Path Following Control Method of Tracked Mobile Robot Based on Heuristic Dynamic Programming

被引:0
|
作者
Song Y. [1 ,2 ]
Zhang Y. [1 ,2 ]
Yao Q. [1 ,2 ]
Yuan S. [3 ]
Liao J. [1 ,2 ]
Liu L. [1 ,2 ]
机构
[1] School of Engineering, Anhui Agricultural University, Hefei
[2] Anhui Province Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei
[3] Hefei CAS-Juche Technology Co., Ltd., Hefei
来源
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2019年 / 50卷 / 11期
关键词
Feedforward neural network; Heuristic dynamic programming; Path following; Tracked robot;
D O I
10.6041/j.issn.1000-1298.2019.11.003
中图分类号
学科分类号
摘要
Aiming at the problem that the traditional path following control method of mobile robot requires manual tuning parameters and lacks of self-optimization ability, a path following control method based on heuristic dynamic programming (HDP) was proposed. Firstly, the error state equation of the path following system was established based on the structure of tracked robot system. Secondly, a path following controller based on HDP algorithm was proposed. The return function was designed by synthesizing the error performance index and the following stability index. A multi-layer feedforward neural network was used to establish the actuator and evaluation modules, and the online optimization rules of network parameters were derived. Thirdly, the path following performance of HDP method was verified by numerical simulation and system test. The experimental results showed that the controller based on the HDP algorithm of the mean absolute error was 0.04 m and the root mean square error was 0.06 m when following a straight line, 0.01 m and 0.06 m when following a obtuse angle steering curve, and 0.03 m and 0.09 m when following an acute angle steering curve, and the method based on HDP can obtain high precision control effect without repeated debugging control parameters, and it improved the environmental adaptability and autonomous optimization ability of the path following control method for mobile robots. © 2019, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:24 / 33
页数:9
相关论文
共 28 条
  • [1] Rajamani R., Vehicle Dynamics and Control, (2011)
  • [2] Wei S., Li S., Zhang M., Et al., Automatic navigation path search and turning control of agricultural machinery based on GNSS, Transactions of the CSAE, 33, pp. 70-77, (2017)
  • [3] Sun H., Yang J., On the pure pursuit model, Chinese J. Computers, 25, 12, pp. 1445-1449, (2002)
  • [4] Ding Y., Zhan P., Zhou Y., Et al., Design and experiment of motion controller for information collection platform in field with Beidou positioning, Transactions of the CSAE, 33, 12, pp. 178-185, (2017)
  • [5] Marino R., Scalzi S., Netto M., Nested PID steering control for lane keeping in autonomous vehicles, Control Engineering Practice, 19, 12, pp. 1459-1467, (2011)
  • [6] Wu X., Shen W., Lou P., Et al., Robust feature recognition and precise path tracking for vision-guided AGV, Transactions of the Chinese Society for Agricultural Machinery, 47, 7, pp. 48-56, (2016)
  • [7] Kapania N.R., Gerdes J.C., Design of a feedback-feedforward steering controller for accurate path tracking and stability at the limits of handling, Vehicle System Dynamics, 53, 12, pp. 1687-1704, (2015)
  • [8] Wang J., Chen W., Wang T., Et al., Vision guided intelligent vehicle lateral control based on desired yaw rate, Journal of Mechanical Engineering, 48, 4, pp. 108-115, (2012)
  • [9] Wang R., Hu C., Yan F., Et al., Composite nonlinear feedback control for path following of four-wheel independently actuated autonomous ground vehicles, IEEE Transactions on Intelligent Transportation Systems, 17, 7, pp. 2063-2074, (2016)
  • [10] Yang L., Yue M., Ma T., Path following predictive control for autonomous vehicles subject to uncertain tire-ground adhesion and varied road curvature, International Journal of Control, Automation and Systems, 17, 1, pp. 193-202, (2019)