Articles | Volume 13, issue 2
Research article
08 Nov 2022
Research article |  | 08 Nov 2022

Design and experiment of magnetic navigation control system based on fuzzy PID strategy

Guosheng Geng, Feng Jiang, Chao Chai, Jianming Wu, Yejun Zhu, Guiguan Zhou, and Maohua Xiao

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Cited articles

Ball, D., Upcroft, B., Wyeth, G., Corke, P., English, A., Ross, P., Patten, T., Fitch, R., Sukkarieh, S., and Bate, A.: Vision-based obstacle detection and navigation for an agricultural robot, J. Field Robot., 33, 1107–1130,, 2016. 
Cai, C.: Research on multi-objective optimal control of agricultural automatic navigation vehicle, MS thesis, School of Engineering, Zhejiang A & F University, China, 78 pp., 2020 (in Chinese). 
Chen, H., Lu, W., Zhao, X., Wang, L., Zhang, Y., and He, X.: Research on fuzzy PID adaptivecontrol method for shifting manipulator of tractor driving robot based on force feedback, Journal of Nanjing Agricultural University, 39, 166–174,, 2016 (in Chinese). 
Chen, Y. and Liu, X.: Report on the development of vegetable mechanization in China, Journal of Chinese Agricultural Mechanization, 41, 46–53,, 2020 (in Chinese). 
Guo, C. H., Zhang, S., Zhao, J., and Chen, J.: Research on Autonomous navigation system of orchard Agricultural Vehicle based on RTK-BDS, Journal of Agricultural Mechanization Research, 42,, 2020. 
Short summary
First, we compare the advantages and disadvantages of existing navigation devices in agriculture and select the magnetic navigation with low cost and high reliability. We then establish the motion model of the table. The fuzzy proportion integration differentiation (PID) control strategy is determined through the model's analysis, and the fuzzy PID controller is designed and simulated in MATLAB. Finally, the test is verified under two different conditions of straight road and curved road.