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Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care
Article type: Research Article
Authors: Wang, Sheng | Yu, Yongchang | Yang, Chen | Liu, Long | Zhang, Yahui | Zhang, Zhi | Li, He; *
Affiliations: Henan Agricultural University, Zhengzhou, Henan Province, China
Correspondence: [*] Corresponding author. He Li, Associate Professor, China Agriculture Research System (Grant No. CARS-04-PS-25), Main Research Areas: Intelligent Agricultural Machinery and Equipment, Henan Agricultural University, Zhengzhou 45002, Henan Province, China. E-mail: [email protected].
Abstract: Traditional soybean seeders are driven by land wheels, which are easy to slip in complex operating conditions, resulting in the increased miss-seeding index and row-spacing coefficient of variation, etc. In order to solve these problems, a soybean electrical-control seeding system was designed in this paper. For improving the control accuracy of the electrical seeding system and achieving precise control of soybean seeding, the closed-loop control was adopted in the electric-driven Soybean Seeding system, the motor model of the electric-driven soybean seeding system was established and the transfer function of the motor was obtained. The PID control parameters were obtained by the Ziegler-Nichols PID tuning method, and the corresponding parameters were substituted into the control system simulation model established in MATLAB/SIMULINK. The conventional PID control system and the fuzzy PID control system were simulated respectively. Field trial results show that seeding with fuzzy PID control is better.
Keywords: Seed metering device, electronic control, fuzzy control
DOI: 10.3233/JIFS-179419
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 453-462, 2020
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