Electric-driven Mung Bean Precision Seeder Control System Based on IGWO-LADRC

WANG Song, ZHAO Bin, YI Shujuan, ZHAO Xue, LIU Zhiqiang, SUN Yue

Abstract

Aiming at the problems of high missing index and non-precision seeding due to the small theoretical seeding spacing, small qualified range and internal and external interference of the system during precision seeding of mung bean, an electric-driven mung bean precision seeder control system based on IGWO-LADRC was studied. The modeling of the seeding motor was proposed, and an improved grey wolf optimizer (IGWO) was proposed to tune the parameters of the linear active disturbance rejection control (LADRC). The advantages of intelligent control system were tested by comparing the four seeding motor control strategies of empirical tuning PID, empirical tuning LADRC, GWO-LADRC and IGWO-LADRC. Simulation experiment showed that the electric-driven mung bean precision seeding control system based on IGWO-LADRC algorithm had a fitness of 1.5320, no overshoot, a settling time of 0.57s, almost no steady-state error, a disturbance recovery time of 0.35s, and no oscillation phenomenon and no steady-state error after reached the steady state again. The results of the seeding performance experiment showed that compared with the traditional chain-driven seeding,qualified index was increased by 2.75 percentage points, multiple index was decreased by 0.46 percentage points, missing index was decreased by 2.22 percentage points, precision index was decreased by 8.91 percentage points, and the precision index of qualified seeding spacing was decreased by 7.89 percentage points,compared with the traditional PID electric-driven seeding, qualified index was increased by 2.20 percentage points, multiple index was decreased by 0.37 percentage points, missing index was decreased by 1.30 percentage points, precision index was decreased by 7.28 percentage points, and the precision index of qualified seeding spacing was decreased by 4.47 percentage points, all of which met the national standards.


Keywords: mung bean, electric-driven seeder, control system, improved grey wolf algorithm, linear active disturbance rejection control


Download Full Text:

PDF


References


TIAN Jing,CIIENG Xuzhcn, FAN Baojie, et al. Current situation and development trend of mungbean varieties in China [J ] . Crops, 2021(6) : 15 —21. (in Chinese)

WANG Xiaolei, KANG Zeran, WEI Yunshan, et al. Breeding of the new mung bean variety Chifeng mung beans [ J] . China Seed Industry, 2022(4) : 122 - 123. (in Chinese)

HAN Xinru, SONG Lili. Study on production and consumption characteristics and industrial development trends of mung beanand adzuki bean in China [J ]. Journal of Agricultural Science and Technology, 2019,21(8) :1 - 10. (in Chinese)

ZHOU Junling, ZHANG Huijie. Analysis of the world’s fava bean production and trade situation[ J ] . W orld Agriculture, 2016, 38 ( 1 1 ) ; 107 - 111. ( in Chinese)

TAN Bin, QIAO Congcong. Opportunities and challenges of pulses in the sustainable development of diets [ J ]. Food & Machinery, 2019,35( 10) : 165 - 169. (in Chinese)

LI Yuhuan, YANG Li, HAN Ying,et al. Design and experiment of spoon-clamping type metering device for faba beans [ J ]. Transactions of the Chinese Society for Agricultural Machinery, 2018 ,49 (Supp. ) : 108 - 116. (in Chinese)

ZHANG Shengwei, ZHANG Ruiyu,CHEN Tianyou,et al. Calibration of simulation parameters of mung bean seeds using discrete element method and verification of seed-metering test[ J] . Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(3) :71 -79. (in Chinese)

JIA Honglei, ZHANG Shengwei, CHEN Tianyou, et al. Design and experiment of self-suction mung bean precision seed metering device [j]. Transactions of the Chinese Society for Agricultural Machinery, 2020,51(3) :5 1 -60. (in Chinese)

KAMGAR S, KHODABADI F N, M. SHAFAEI S. Design, development and field assessment of a controlled seed metering unit to be used in grain drills for direct seeding of wheat [j]. Information Processing in Agriculture ,2015 ,2 (3 -4) : 169 - 176.

CAY A,K0CAB1YIK H,MAY S. 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, 2018,144:7 1 -79.

CAY A, KOCABIYIK H, MAY S. Development of an electro-mechanic control system for seed-metering unit of single seed corn planters-Part II; field performance[ J ]. Computers and Electronics in Agriculture ,2018 ,145 :11 -17.

JAFARI M,HEMMAT A,SADEGHI M. Development and performance assessment of a DC electric variable-rate controller for use on grain drills[ M ]. Elsevier Science Publishers,2010.

CHEN Liqing, XIE Binhin, LI Zhaodong, et al. Design of control system of maize precision seeding based on double closed loop PID fuzzy algorithm J ]. Transactions of the CSAE, 2018,34(9) :33 -41. (in Chinese)

ZHANG Chunling, WU Rong, CHEN Liqing. Design and test of electronic control seeding system for maizef J]. Transactions of the Chinese Society for Agricultural Machinery, 2017,48(2) ;51 -59. (in Chinese)

HE Xiantao,CUI Tao,ZHANG Dongxing, et al. Development of an electric-driven control system for a precision planter based on a closed-loop PID algorithm [ J ]. Computers and Electronics in Agriculture, 2017,136:184 - 192.

HAN Jingqing. From PID technique to active disturbances rejection control technique[ J ]. Control Engineering of China, 2002 (3) : 13 - 18. (in Chinese)

CHEN Xing. Active disturbance rejection controller tuning and its applications to thermal processes D]. Beijing: Tsinghua University ,2008. (in Chinese)

GAO Zhiqiang. Scaling and bandwidth-parameterization based controller tuning [ С ] // Proceedings of the 2003 American Control Conference, IEEE,2003 :4989 -4996.

MIRJALILI S, MIRJALILI S M, LEWIS A. Grey wolf optimization[ J]. Advances in Engineering Software,2014,69(7) :46 - 61.


Refbacks

  • There are currently no refbacks.