Optimization design and analysis of the proportional solenoid valve for the power shift transmission of cotton picker using NSGA-II algorithm

Authors

  • Xiangchao Meng 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 2. Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, Xinjiang, China; 3. Collaborative Innovation Center of Province-Ministry Co-Construction for Cotton Modernization Production Technology, Shihezi 832003, Xinjiang, China
  • Yiqing Li 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 2. Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, Xinjiang, China; 3. Collaborative Innovation Center of Province-Ministry Co-Construction for Cotton Modernization Production Technology, Shihezi 832003, Xinjiang, China
  • Xiangdong Ni 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 2. Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, Xinjiang, China; 3. Collaborative Innovation Center of Province-Ministry Co-Construction for Cotton Modernization Production Technology, Shihezi 832003, Xinjiang, China
  • Huajun Chen 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 4. School of Mechatronics and Automation Engineering, Xinjiang University of Technology, Hetian 848011, Xinjiang, China
  • Guangqing Zhang 5. School of Mechanical&Electrical Engineering, Xuzhou University of Technology, Xuzhou 221018, Jiangsu, China
  • Wei Zhao 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 2. Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, Xinjiang, China; 3. Collaborative Innovation Center of Province-Ministry Co-Construction for Cotton Modernization Production Technology, Shihezi 832003, Xinjiang, China
  • Sihang Li 1. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, Xinjiang, China; 2. Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, Xinjiang, China; 3. Collaborative Innovation Center of Province-Ministry Co-Construction for Cotton Modernization Production Technology, Shihezi 832003, Xinjiang, China

Abstract

In order to further improve the dynamic response performance of the proportional solenoid valve of power shift transmission of cotton picker, the structure and working principle of the proportional solenoid valve were analyzed, and the simulation model of electro-hydraulic shift system of the proportional solenoid valve was built based on Amesim software. In addition, the dynamic response curve of oil pressure output of shift valve was obtained and verified by bench. In Isight software, the optimal Latin hypercube test design method was used to analyze the key parameters affecting the oil pressure response characteristics of the proportional solenoid valve, and the key parameters were identified. Taking the oil pressure step response time and oil pressure response overshoot of the proportional solenoid valve as the optimization objectives, the NSGA-II algorithm was used to optimize the key parameters of the proportional solenoid valve. The results show that after optimization, the oil step response time of the proportional solenoid valve is shortened by 4.55%, the oil response overshoot is reduced by 68.28%, and the flow response time is shortened by 4.76%, which improves the dynamic response characteristics of the proportional solenoid valve. The optimization results have certain significance for improving the shift quality of the cotton picker power shift system.      

Keywords: power shift transmission, proportional solenoid valve, multi-objective optimization, cotton picker, NSGA-II

DOI: 10.25165/j.ijabe.20261902.10167

 

Citation: Meng X C, Li Y Q, Ni X D, Chen H J, Zhang G Q, Zhao W, et al. Optimization design and analysis of proportional solenoid valve for power shift transmission of cotton picker using NSGA-II algorithm. Int J Agric & Biol Eng, 2026; 19(2): 158–169.

References

[1] Ma W X, Zhang Y, Wang R Y, Lu X Q. Shift quality analysis of heavy-duty vehicle automatic transmission shift control valve. Open Mechanical Engineering Journal, 2015; 9: 333–338.

[2] Geng G J, Yao Q, Cui B H, Shao H H, Zhang J N, Gao D R. Development status and prospects of agricultural machinery electro-hydraulic control technology. Agricultural Engineering, 2024; 14(5): 27–31.

[3] Sun Z Y, Li G X, Wang L, Wang W H, Gao Q X, Wang J. Effects of structure parameters on the static electromagnetic characteristics of solenoid valve for an electronic unit pump. Energy Conversion and Management, 2016; 113: 119–130.

[4] Meng F, Shi P, Karimi H R, Zhang H. Optimal design of an electro-hydraulic valve for heavy-duty vehicle clutch actuator with certain constraints. Mechanical Systems and Signal Processing, 2016; 68: 491–503.

[5] Zhu Y G, Jin B. Analysis and modeling of a proportional directional valve with nonlinear solenoid. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016; 38: 507–514.

[6] Wei G Y, Liao Y Y, Yang C W, Han J L. Improved sliding mode control and structural optimization for a novel water proportional valve. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025; 47(11): 539.

[7] Yang M S, Lian K, Luo S, Yu C X. Simulation analysis and optimization of pilot type electro-hydraulic proportional directional valve based on multi field coupling. Flow Measurement and Instrumentation, 2024; 100: 102726.

[8] Meng F, Zhang H, Cao D P, Chen H Y. System modeling and pressure control of a clutch actuator for heavy-duty automatic transmission systems. IEEE Transactions on Vehicular Technology, 2015; 65(7): 4865–4874.

[9] Meng F, Chen H Y, Liu H, Han B, Nie X F. The optimisation of a proportional solenoid valve design for heavy vehicle active suspension system. International Journal of Vehicle Design, 2015; 68(1-3): 180–200.

[10] Salloom M Y, Almuhanna M Y. Analysis of the improved proportional hydraulic directional control valve by adding a solenoid directional valve. Journal Europeen des Systemes Automatises, 2024; 57(1): 105.

[11] Mo Y T, Zhang C, Jin B, Chen L. Simulation and experiment of static and dynamic characteristics of pilot-operated proportional pressure reducing valve. Flow Measurement and Instrumentation, 2025; 101: 102764.

[12] Jian H C, Wei W, Li H C, Yan Q D. Optimization of a pressure control valve for high power automatic transmission considering stability. Mechanical Systems and Signal Processing, 2018; 101: 182–196.

[13] Yu Z Q, Yang L, Zhao J H, Grekhov L. Research on multi-objective optimization of high-speed solenoid valve drive strategies under the synergistic effect of dynamic response and energy loss. Energies, 2024; 17(2): 300.

[14] Zou W J, Wang Y, Zhong C J, Song Z C, Li S L. Research on shifting process control of automatic transmission. Scientific Reports, 2022; 12(1): 13054.

[15] Yang Q, Wu G Q, Zhang S B. Smart control of DCT proportional solenoid valve based on data mining. International Journal of Automotive Technology, 2024; 25(3): 673–687.

[16] Zhong Q, Mao Y X, Xu E G, Wang X L, Li Y B, Yang H Y. Fast dynamics and low power losses of high-speed solenoid valve based on optimized pre-excitation control algorithm. Thermal Science and Engineering Progress, 2024; 47: 102363.

[17] Ouyang T C, Lu Y C, Li S Y, Yang R, Xu P H, Chen N. An improved smooth shift strategy for clutch mechanism of heavy tractor semi-trailer automatic transmission. Control Engineering Practice, 2022; 121: 105040.

[18] Li R C, Zhang Q G, Li Z Y, Yuan W T, Sun Q Y, et al. Study on dynamic response characteristics and optimisation of common rail injectors. Alexandria Engineering Journal, 2025; 114: 556–571.

[19] Meng F, Ren Y F, Xi J Q. Time delay characteristics analysis of pressure dynamic response on electro-hydraulic pressure regulating valve. 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems. IEEE, 2021; 761–766. DOI: 10.1109/ICPS49255.2021.9468137.

[20] Ouyang T C, Li S Y, Huang G C, Zhou F, Chen N. Mathematical modeling and performance prediction of a clutch actuator for heavy-duty automatic transmission vehicles. Mechanism and Machine Theory, 2019; 136: 190–205.

[21] Jankovic A, Chaudhary G, Goia F. Designing the design of experiments (DOE)-An investigation on the influence of different factorial designs on the characterization of complex systems. Energy and Buildings, 2021; 250: 111298.

[22] Lamidi S, Olalere R, Yekinni A, Adesina K. Design of experiments (DOE): Applications and benefits in quality control and assurance, 2024. DOI: 10.5772/intechopen.113987.

[23] Alizadeh R, Allen J K, Mistree F. Managing computational complexity using surrogate models: a critical review. Research in Engineering Design, 2020; 31(3): 275–298.

[24] Mason R L, Gunst R F, Hess J L. Statistical design and analysis of experiments: with applications to engineering and science. John Wiley & Sons, 2003. DOI: 10.5860/choice.27-2741.

[25] Lundstedt T, Seifert E, Abramo L, Thelin B, Nyström Å, Pettersen J, et al. Experimental design and optimization. Chemometrics and Intelligent Laboratory Systems, 1998; 42(1-2): 3–40.

[26] Jalal Uddin Jamali A, Asadul Alam M, Aziz A. Statistical analysis of various optimal Latin hypercube designs. Data Science and SDGs: Challenges, Opportunities and Realities, 2021; pp.155–163.

[27] Liu P, Fan L Y, Bai Y, Ma X Z, Song E Z. Modeling and analysis of electromagnetic force approximate model of high-speed solenoid valve. Transactions of the CSAE, 2015; 31(16): 96–101. (in Chinese)

[28] Montgomery D C. Design and analysis of experiments. John Wiley & Sons, 2017. DOI: 10.1093/oso/9780198523123.003.0009.

[29] Alkiayat M. A practical guide to creating a Pareto chart as a quality improvement tool. Global Journal on Quality and Safety in Healthcare, 2021; 4(2): 83–84.

[30] Kurasova O, Petkus T, Filatovas E. Visualization of Pareto front points when solving multi-objective optimization problems. Information Technology and Control, 2013; 42(4): 353–361.

[31] Di Barba P, Mognaschi M E. Sorting Pareto solutions: a principle of optimal design for electrical machines. COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2009; 28(5): 1227–1235.

[32] Deb K, Roy P C, Hussein R. Surrogate modeling approaches for multiobjective optimization: methods, taxonomy, and results. Mathematical and Computational Applications, 2020; 26(1): 5.

[33] Petchrompo S, Coit D W, Brintrup A, Wannakrairot A, Parlikad A K. A review of Pareto pruning methods for multi-objective optimization. Computers & Industrial Engineering, 2022; 167: 108022.

[34] Atashkari K, Nariman-Zadeh N, Pilechi A, Jamali A, Yao X. Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms. International Journal of Thermal Sciences, 2005; 44(11): 1061–1071.

[35] Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 2002; 6(2): 182–197.

[36] Ma H P, Zhang Y J, Sun S Y, Liu T, Shan Y. A comprehensive survey on NSGA-II for multi-objective optimization and applications. Artificial Intelligence Review, 2023; 56(12): 15217–15270.

[37] Verma S, Pant M, Snasel V. A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems. IEEE Access, 2021; 9: 57757–57791.

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Published

2026-05-21

How to Cite

(1)
Meng, X.; Li, Y.; Ni, X.; Chen, H.; Zhang, G.; Zhao, W.; Li, S. Optimization Design and Analysis of the Proportional Solenoid Valve for the Power Shift Transmission of Cotton Picker Using NSGA-II Algorithm. Int J Agric & Biol Eng 2026, 19, 158-169.

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Section

Power and Machinery Systems