Cooperative control method of seed and fertilizer simultaneous sowing of electric drive peanut planter

Authors

  • Yan Yu College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaomin Wang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaomin Wang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaomin Wang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Shuqi Shang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Shuqi Shang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaozhi Tan College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Dazhi Yi College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Shuqi Shang College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaozhi Tan College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Weikang Dong College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Yushuai Song College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Xiaozhi Tan College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Dazhi Yi College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Dazhi Yi College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Weikang Dong College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Weikang Dong College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Yushuai Song College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
  • Yushuai Song College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China

DOI:

https://doi.org/10.25165/ijabe.v18i6.9547

Keywords:

simultaneous sowing and fertilization, IPSO algorithm, improved cross-coupling structure, control system

Abstract

Aiming at the problems of low intelligence level of peanut seeder, unstable quality of sowing and fertilization, and poor coordination ability of one-time multi-work, this paper proposes a cooperative control method for simultaneous sowing and fertilization in electric-driven peanut planters. In this method, an improved cross-coupling control structure is proposed to realize the cooperative control of sowing and fertilization, and a fuzzy PID controller is designed. In addition, in order to solve the problem of high overshoot and poor system follow-up when the target speed of the control motor changes greatly during the operation process, an improved particle swarm optimization algorithm is introduced to reduce overshoot, improve response speed, and improve the control accuracy and stability of the seed and fertilizer simultaneous sowing control system. The method was simulated and analyzed on the Matlab/Simulink simulation platform, and the simulation results indicate that the dynamic performance and anti-interference capability of the improved controller have been significantly enhanced. To verify the effectiveness of this control method, an experiment on simultaneous sowing and fertilization of peanuts was designed. The experimental data showed that under stable operation, the average sowing qualification rate was 98.67% and the average fertilization qualification rate was 98.34%; under sudden load conditions, the average sowing qualification rate was 97.33% and the average fertilization qualification rate was 98.18%. The method maintained a low fluctuation range under different working conditions, effectively achieving precise simultaneous sowing and fertilization of peanuts. This research can provide effective technical reference for efficient peanut cultivation. Key words: simultaneous sowing and fertilization; IPSO algorithm; improved cross-coupling structure; control system DOI: 10.25165/j.ijabe.20251806.9547 Citation: Yu Y, Wang X M, Shang S Q, Tan X Z, Yi D Z, Dong W K, et al. Cooperative control method of seed and fertilizer simultaneous sowing of electric drive peanut planter. Int J Agric & Biol Eng, 2025; 18(6): 212–220.

References

Chen F D, Jiang J T, Wang D W, Bao Y F, Yang W Q. Application status and research progress of peanut planting machinery. Jiangsu Agricultural Science, 2020; 48(13): 41–46. (in Chinese)

Zhang W L, Li X Z. The supply and demand situation of oilseed in china and strategies for capacity improvement. Journal of Chinese Farmers’ Cooperatives, 2023; 10: 24–27. (in Chinese)

Ren S H. Research on the control mechanism and monitoring system of electric drive air-suction precision corn seeding device. Heilongjiang Bayi Agricultural University, 2021. (in Chinese)

Yao Y F. Design and research of electric drive seed discharge control system for high-speed precision corn planter. Shihezi University, 2023. (in Chinese)

Hou Y T. Research and development of electric drive high-speed precision seeding technology. Agricultural Engineering, 2023; 35(4): 7–11.

Xiao M H, Ma Y, Wang C, Chen J Y, Zhu Y J, Bartos P, et al. Design and experiment of fuzzy-PID based tillage depth control system for a self-propelled electric tiller. Int J Agric & Biol Eng, 2023; 16(4): 116–125.

Liu R C. Research on synchronous control of multi-motor servo systems. Hangzhou: Zhejiang University, 2020. (in Chinese)

Ye Y H, Peng F, Huang Y K. A review of multi-motor synchronous motion control technology. Transactions of China Electrotechnical Society, 2021; 36(14): 2922–2935.

Liu F, Liu C, Rao H X, Xu Y, Huang T W. Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. Neural Networks, 2021; 143: 759–766.

Basu H, Yoon Y. Cooperative output regulation of networked motors under switching communication and detectability constraints. IEEE Transactions on Control Systems Technology, 2020; 99: 1–8.

Lu H, Fan W, Zhang Y Q, Ling H, Wang S J, Alghannam E, et al. Cross-coupled fuzzy logic sliding mode control of dual-driving feed system. Advances in Mechanical Engineering, 2018; 10(2): 1687814018755518. DOI: 10.1177/1687814018755518

Li H Y, Ding S F, She C, Guo C J, Niu L L. Research on control of permanent magnet synchronous motors based on sliding mode variable structure. Foreign Electronic Measurement Technology, 2019; 38(9): 112–116. (in Chinese)

Ma C, Jia C C. Motion control of dual-axis servo motors based on fuzzy neural networks. Electrical Drive, 2019; 49(9): 35–40. (in Chinese)

Li S L, Duan S K, Li S L. Research on iterative optimization-based cross-coupling control method for multiple motors. Electrical Drive, 2021; 51(7): 46–51.

Si L J, Huang Q L. Research on fuzzy PI control system with variable domain for brushless dc motors. Computer Simulation, 2020; 37(12): 214–218, 311.

Wang X Y, Zhao J F. Design and implementation of PLC for dual motor synchronous control based on fuzzy PID. Modern Manufacturing Engineering, 2020; 10: 128–133.

Jerković Š V, Varga T, Benšić T, Barukčić M. A survey of fuzzy algorithms used in multi-motor systems control. Electronics, 2020; 9(11): 1788.

Zhang Q. Research on the problem of multi-motor synchronous control. Master’s thesis, Harbin Institute of Technology, 2016. (in Chinese)

Cui M K. Research on topology and control strategy of dual-winding permanent magnet synchronous motor system. Harbin Institute of Technology, 2022. (in Chinese)

Zhao Z Z, Zhang G Z, Luo C M, Liu W R, Tang N R, Kang Q X, et al. Path tracking algorithm for dual-motor tracked chassis considering slip and skid. Transactions of the CSAE, 2024; 40(12): 46–54. (in Chinese)

Gu X. Research on multi-motor collaborative control method based on intelligent optimization algorithms. Master’s thesis, Changchun University of Technology, 2022. (in Chinese)

Yu Y, Hu Y R, Shang S Q, Diao L S, Ge R C, Zhang X. Design of motor-driven precision seed-metering device with improved fuzzy PID controller for small peanut planters. Int J Agric & Biol Eng, 2023; 16(1): 136–144.

Wang J H, Chen Y Z, Chen G, Lin J, Dai Z. Research on dual-motor synchronous control system based on cross-coupling control. Journal of Nanjing University of Science and Technology (Natural Science Edition), 2017; 41(6): 693–697. (in Chinese)

Lu X, Ming L. A fuzzy logic controller tuned with improved PSO for delta robot trajectory control. Yokohama: IEEE Industrial Electronics Society, 2016.

Li X Y, Xiao J, Pan Y P, Liu S Y, Deng X. Research on fuzzy pid control system for vehicle-borne platform leveling based on improved PSO. Modern Manufacturing Engineering, 2021; 2: 58–65. (in Chinese)

Liu Z D, Hua L, Lyu Z Q, Hu J J, Zheng W X. Optimization and experimental analysis of sweet potato ship-shaped transplanting trajectory using particle swarm algorithm. Int J Agric & Biol Eng, 2024; 17(3): 100–107.

Sousa-Ferreira I, Sousa D. A review of velocity-type PSO variants. Journal of Algorithms & Computational Technology, 2017; 11(1): 23–30.

Wang Q Q, Li Z D, Wang W W, Zhang C L, Chen L Q, Wan L. Multi-objective optimization design of wheat centralized seed feeding device based on particle swarm optimization (PSO) algorithm. Int J Agric & Biol Eng, 2020; 13(6): 76–84.

Zhou H F, Wang H W, Zhang Z J. Fuzzy identification of nonlinear systems based on adaptive particle swarm algorithm. Modern Electronic Technology, 2021; 44(10): 176–180.

Afzal A, Ramis M K. Multi-objective optimization of thermal performance in battery system using genetic and particle swarm algorithm combined with fuzzy logics. The Journal of Energy Storage, 2020; 32(1): 101815.

Chen Y N, Xie B, Du Y F, Mao E R. Powertrain parameter matching and optimal design of dual-motor driven electric tractor. Int J Agric & Biol Eng, 2019; 12(1): 33–41.

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Published

2025-12-26

How to Cite

Yu, Y., Wang, X., Wang, X., Wang, X., Shang, S., Shang, S., … Song, Y. (2025). Cooperative control method of seed and fertilizer simultaneous sowing of electric drive peanut planter. International Journal of Agricultural and Biological Engineering, 18(6), 212–220. https://doi.org/10.25165/ijabe.v18i6.9547

Issue

Vol. 18 No. 6 (2025): IJABE

Section

Information Technology, Sensors and Control Systems

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