AN IMPROVED SOWING METHOD BASED ON FLEX SENSOR USING FUZZY MODEL

Sowing depth has an important impact on the performance of no-till seeder, it is one of the key factors to ensure the rapid germination. However, the consistency of sowing depth is easily affected by the complex environment of no-tillage operation. In order to improve the performance of no-tillage planter and improve the control precision of sowing depth, an intelligent depth regulation system was designed. Three Flex sensors installed on the inner surface of the gauge wheel at 120° intervals were uesed to monitor the pressure exerted by the seeding row unit against ground. In addition, the pneumatic spring was used as a downforce generator, and its intelligent regulation model was established by Mamdani fuzzy algorithm, which can realize the control of the pressure exerted by the seeding row unit against ground and ensure the proper seeding depth. The working process was simulated based on SIMULINK, and the results show that Mamdani fuzzy model has a good following performance of the change of the pressure against ground. Field results showed that when the operating speed was 6, 8 and 10 km/h, the error of the system's control of sowing depth was ±9 mm, ±12 mm and ±22mm respectively, and its sowing performance was significantly higher than that of the unadjusted passive operation.