Title: Design and experiment of seeding electromechanical control seeding system based on genetic algorithm fuzzy control strategy
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, e...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. For solving these problems, a soybean electrical-control seeding system was designed in this paper. When the system operates, a Hall-type speed sensor in the system collected the information of seeding speed, and then the theoretic seeder speed was calculated out by PLC with row-spacing calculation formula; with fuzzy control strategies, the real-time seeder speed collected by a coder was used for optimal control of the stepping motor for seeders, in order to yield the best seeder speed and improve the seeding precision. Field tests showed that, when seeding the soybean with the electrical-control seeding system, the repeated-seeding index averaged 1.3%, less than 1.42 percentage points compared to that of traditional seeding; the miss-seeding index averaged 1.08%, less than 2.09 percentage points compared to that of traditional seeding; and the row-spacing coefficient of variation averaged 2.79%, less than 2.34 percentage points compared to that of traditional seeding. The seeding effect was great.Read More