DESIGN OF CONTROL SYSTEM OF SEED METERING DEVICE TEST-BED BASED ON FUZZY PID

Author:

CHEN Jin1,YAN Yuqian1,ZHANG Xuedong1,LIU Rui2

Affiliation:

1. Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd, Beijing 100083, China, State key Laboratory of soil Plant Machinery system Technology, Beijing 100083, China

2. China Agricultural University, Beijing 100083, China

Abstract

In order to better detect the working parameters of the seed metering device and further improve the performance of the seed metering device, a set of test-bed control system of seed metering device based on fuzzy PID was designed. The PID parameters are mainly used for on-line fuzzy self-tuning to realize the dynamic adjustment of the speed of the seed metering shaft, so as to ensure the fast adjustment of the speed of the seed metering device. Through the simulation of conventional PID control and fuzzy PID control by matlab, the response curve of the control system is obtained. From the response curve, it can be seen that the step response time of fuzzy PID control is about 0.15s, which is much higher than that of conventional PID control, and the work is stable and there is no overshoot. The bench test is carried out in the laboratory and the fuzzy PID control system is applied to the test-bed, and the actual speed regulation effect of the motor and the performance indexes of the seed metering device test-bed are obtained. The bench test shows that when the fuzzy control system is used to carry out the seed metering device test on the test bench, the qualified grain distance index of the seed metering device is maintained above 91%, the coefficient of variation of the qualified grain distance is less than 4%, the missing sowing index is less than 7%, and the replay index is less than 5%. All meet the national standard requirements of single-grain precision seed metering device.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

Reference25 articles.

1. Chen M., et al. (2016), Design and Experiment of Optimization Control System for Variable Fertilization in Winter Wheat Field Based on Fuzzy PID [J]. Transactions of the Chinese Society for Agricultural Machinery, Vol.47, Issue 2, pp. 71-76, Beijing / P.R.C.;

2. Cay Anil, et al. (2017). Development of an Opto-electronic Mesurement System for Planter Laboratory Tests [J]. Measurement. Issue 102, pp. 90-95, Perugia / Italy;

3. Cay Anil, et al. (2018). Development of an electro-mechanic control system for seed-metering unit of single seed corn planters Part I Design and laboratory simulation [J]. Computers and Electronics in Agriculture, Issue 144, pp. 71-79, Washington / USA;

4. Chen X., et al. (2006). Analysis of the Effect of Scaling Factor in Fuzzy Controller on System Response [C], Proceeding of 2006 Chinese Control and Decision Conferece, Tianjin,/ P.R.C.;

5. Ding Y.C., et al. (2019). Design of navigation immune controller of small crawler-type rape seeder [J]. Transactions of the Chinese Society of Agricultural Engineering, Vol.35, Issue 7, pp. 12-20, Beijing / P.R.C.;

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