Optimization design of the hydro-pneumatic suspension system for highclearance self-propelled sprayer using improved MOPSO algorithm
Keywords:
high clearance self-propelled sprayer, vibration reduction, hydro-pneumatic suspension, MOPSO, multi-objectiveoptimizationAbstract
Large high clearance self-propelled sprayers were widely used in field plant protection due to their high-efficiencyoperation capabilities. Influenced by the characteristics of field operations such as high power, heavy weight, high groundclearance, and fast operation speed, the comprehensive requirements for the ride comfort, handling stability and roadfriendliness of the sprayer were increasingly strong. At the present stage, the chassis structure of the high clearance self-propelled sprayer that attaches great importance to the improvement of comprehensive performance still has the problems ofsevere bumps, weak handling performance and serious road damage in complex field environments. Therefore, this paperproposes an optimization design method for hydro-pneumatic suspension system of a high clearance self-propelled sprayerbased on the improved MOPSO (Multi-Objective Particle Swarm Optimization) algorithm, covering the entire process ofconfiguration design, parameter intelligent optimization, and system verification of the high clearance self-propelled sprayerchassis. Specifically, chassis structure of the hydro-pneumatic suspension suitable for the high clearance self-propelled sprayerwas designed, and a design method combining the improved MOPSO algorithm based on time-varying fusion strategy andadaptive update with the parameter optimization of hydro-pneumatic suspension based on this algorithm was proposed, andfinally the software simulation and bench performance verification were carried out. The results show that the optimized hydro-pneumatic suspension has excellent vibration reduction effect, and the body acceleration, suspension dynamic deflection andtire deflection were increased by 16.5%, 9.9% and 0.9% respectively, compared with those before optimization. Thecomprehensive performance of the hydro-pneumatic suspension designed in this study is better than that of the traditionalsuspension. Keywords: high clearance self-propelled sprayer, vibration reduction, hydro-pneumatic suspension, MOPSO, multi-objectiveoptimization DOI: 10.25165/j.ijabe.20241702.7813 Citation: Yang F, Du Y F, Wen C K, Li Z, Mao E R, Zhu Z X. Optimization design of the hydro-pneumatic suspension system for high clearance self-propelled sprayer using improved MOPSO algorithm. Int J Agric & Biol Eng, 2024; 17(2): 109–122References
[1] Li W, Mao E R, Chen S Y, Li Z, Xie B, Du Y F. Design and verification of slip rate control system for straight line travel of high clearance self-propelled sprayer. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2022; 236(6): 1319–1335. DOI: 10.1177/09544070211032033.
[2] Sharda A, Luck J D, Fulton J P, McDonald T P, Shearer S A. Field application uniformity and accuracy of two rate control systems with automatic section capabilities on agricultural sprayers. Precision Agriculture, 2013; 14(3): 307–322.
[3] Sun W, He Y, Fu T, Wang J, Lu J, Chang J. Design and Test of Horizontal Folding Spray Boom of Sprayer. Transactions of the CSAM, 2022; 53(2): 116–127, 194. (in Chinese)
[4] Zheng J Q, Xu Y L. Development and prospect in environment-friendly pesticide sprayers. Transactions of the CSAM, 2021; 52(3): 1–16. (in Chinese)
[5] Feng J Z, Matthews C, Zheng S L, Yu F, Gao D W. Hierarchical control strategy for active hydropneumatic suspension vehicles based on genetic algorithms. Advances in Mechanical Engineering, 2015; 7(2): 951050.
[6] Zhao J K, Gu Z Q, Zhang S, Ma X K, Zhu Y F, Hu K. Research and optimization on the mechanical property of mining dump truck’s hydro-pneumatic suspension. J. Mech. Eng, 2015; 51(10): 112–118.
[7] Fu Z T, Qi L J, Wang J H. Developmental tendency and strategies of precision pesticide application techniques. Transactions of the CSAM, 2007; 38(1): 189–192. (in Chinese)
[8] Chen Y, Mao E, Li W, Zhang S, Song Z, Yang S, Chen J. Design and experiment of a high-clearance self-propelled sprayer chassis. Int J Agric & Biol Eng, 2020; 13(2): 71–80.
[9] Bittner R. Suspension system for an agricultural vehicle. US, 8297634 B2, 2012; 2012-10-30.
[10] Ferreira A L, Balthazar J M, Pontes Júnior B R. Influence of suspension in the safety and comfort of a self-propelled sprayer. Engenharia Agrícola, 2010; 30(4): 753–760.
[11] Liu W, Wu C, She D. Effect of spraying direction on the exposure to handlers with hand-pumped knapsack sprayer in maize field. Ecotoxicology and Environmental Safety, 2019; 170: 107–111.
[12] Burdzik R, Konieczny Ł, Węgrzyn T. Analysis of structural and material aspects of selected elements of a hydropneumatic suspension system in a passenger car. Archives of Metallurgy and Materials, 2016; 61(1): 79–84
[13] Daou R A Z, Moreau X, Francis C. Effect of hydropneumatic components nonlinearities on the CRONE suspension. IEEE Transactions on Vehicular Technology, 2011; 61(2): 466–474.
[14] Yang C, Gao X, Liu Z, Cai L, Cheng Q, Zhang C. Modeling and analysis of the vibration characteristics of a new type of in-arm hydropneumatic suspension of a tracked vehicle. Journal of Vibroengineering, 2016; 18(7): 4627–4646.
[15] Jiao N, Guo J, Liu S. Hydro-pneumatic suspension system hybrid reliability modeling considering the temperature influence. IEEE Access, 2017; 5: 19144–19153.
[16] Solomon U, Padmanabhan C. Hydro-gas suspension system for a tracked vehicle: Modeling and analysis. Journal of Terramechanics, 2011; 48(2): 125–137.
[17] Gündoğdu Ö. Optimal seat and suspension design for a quarter car with driver model using genetic algorithms. International Journal of Industrial Ergonomics, 2007; 37(4): 327–332.
[18] Gobbi M, Mastinu G. Analytical description and optimization of the dynamic behaviour of passively suspended road vehicles. Journal of sound and vibration, 2001; 245(3): 457–481.
[19] Peng D Z, Tan G F, Fang K K, Chen L, Agyeman P K, Zhang Y X. Multiobjective optimization of an off-road vehicle suspension parameter through a genetic algorithm based on the particle swarm optimization. Mathematical Problems in Engineering, 2021; 2021(9): 1–14.
[20] Kuznetsov A, Mammadov M, Sultan I, Hajilarov E. Optimization of a quarter-car suspension model coupled with the driver biomechanical effects. Journal of Sound and Vibration, 2011; 330(12): 2937–2946.
[21] Sarker R, Ray T. An improved evolutionary algorithm for solving multi-objective crop planning models. Computers and Electronics in Agriculture, 2009; 68(2): 191–199.
[22] Farid T M, Salah A, Abbas D. Design of optimal linear suspension for quarter car with human model using genetic algorithms. Journal of Applied Sciences Research, 2011; 7(11): 1709–1720.
[23] Wu W, Hu L, Zhang Z. Collaborative optimization of nonlinear hydropneumatic suspension dynamic characteristics. Journal of Testing and Evaluation, 2020; 48(2): 20180506.
[24] Mohsen M, Kamel H, Sharaf A M, El-Demerdash S M. Optimal design of passive suspension system of a 6×6 multi-wheeled all-terrain vehicle using genetic algorithm. International Journal of Heavy Vehicle Systems, 2018; 25(3-4): 508–533.
[25] Gomes H M. A swarm optimization algorithm for optimum vehicle suspension design. In Proceedings of 20th International Congress of Mechanical Engineering, 2009; pp.1–10.
[26] Wei L, Xue T, Mao E R, Du Y F, Li Z, He X K. Design and experiment of multifunctional steering system for high clearance self-propelled sprayer. Transactions of the CSAM, 2019; 50(1): 141–151.
[27] Chen S A, Qiu F, He R, Lu S L. Analysis of self-aligning torque from vehicle kingpin inclination. Transactions of the CSAM, 2008; 39(7): 32–35. (in Chinese)
[28] Coello C, Pulido G T, Lechuga M S. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004; 8(3): 256–279.
[29] Zhang Y, Tian Z, Ma W, Zhang M, Yang L. Hyperspectral detection of walnut protein contents based on improved whale optimized algorithm. Int J Agric & Biol Eng, 2022; 15(6): 235–241.
[30] Li S, Liu X, Liu Z. Interlaminar shear fatigue and damage characteristics of asphalt layer for asphalt overlay on rigid pavement. Construction and Building Materials, 2014; 68: 341–347.
[31] Sun L, Cai X, Yang J. Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion. Journal of Sound and Vibration, 2007; 301(1-2): 18–27.
[32] Czyzżak P, Jaszkiewicz A. Pareto simulated annealing-a metaheuristic technique for multiple-objective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 1998; 7(1): 34–47.
[33] 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.
[34] Li K, Sha Z, Xue W, Chen X, Mao H, Tan G. A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. Computers and Electronics in Agriculture, 2020; 168: 105096.
[35] Chen Y. Research on design methods and characteristics of independent strut type air suspension system for high clearance sprayer. Doctoral dissertation, Beijing: China Agricultural University. 2017; pp.95–96. (in Chinese)
[2] Sharda A, Luck J D, Fulton J P, McDonald T P, Shearer S A. Field application uniformity and accuracy of two rate control systems with automatic section capabilities on agricultural sprayers. Precision Agriculture, 2013; 14(3): 307–322.
[3] Sun W, He Y, Fu T, Wang J, Lu J, Chang J. Design and Test of Horizontal Folding Spray Boom of Sprayer. Transactions of the CSAM, 2022; 53(2): 116–127, 194. (in Chinese)
[4] Zheng J Q, Xu Y L. Development and prospect in environment-friendly pesticide sprayers. Transactions of the CSAM, 2021; 52(3): 1–16. (in Chinese)
[5] Feng J Z, Matthews C, Zheng S L, Yu F, Gao D W. Hierarchical control strategy for active hydropneumatic suspension vehicles based on genetic algorithms. Advances in Mechanical Engineering, 2015; 7(2): 951050.
[6] Zhao J K, Gu Z Q, Zhang S, Ma X K, Zhu Y F, Hu K. Research and optimization on the mechanical property of mining dump truck’s hydro-pneumatic suspension. J. Mech. Eng, 2015; 51(10): 112–118.
[7] Fu Z T, Qi L J, Wang J H. Developmental tendency and strategies of precision pesticide application techniques. Transactions of the CSAM, 2007; 38(1): 189–192. (in Chinese)
[8] Chen Y, Mao E, Li W, Zhang S, Song Z, Yang S, Chen J. Design and experiment of a high-clearance self-propelled sprayer chassis. Int J Agric & Biol Eng, 2020; 13(2): 71–80.
[9] Bittner R. Suspension system for an agricultural vehicle. US, 8297634 B2, 2012; 2012-10-30.
[10] Ferreira A L, Balthazar J M, Pontes Júnior B R. Influence of suspension in the safety and comfort of a self-propelled sprayer. Engenharia Agrícola, 2010; 30(4): 753–760.
[11] Liu W, Wu C, She D. Effect of spraying direction on the exposure to handlers with hand-pumped knapsack sprayer in maize field. Ecotoxicology and Environmental Safety, 2019; 170: 107–111.
[12] Burdzik R, Konieczny Ł, Węgrzyn T. Analysis of structural and material aspects of selected elements of a hydropneumatic suspension system in a passenger car. Archives of Metallurgy and Materials, 2016; 61(1): 79–84
[13] Daou R A Z, Moreau X, Francis C. Effect of hydropneumatic components nonlinearities on the CRONE suspension. IEEE Transactions on Vehicular Technology, 2011; 61(2): 466–474.
[14] Yang C, Gao X, Liu Z, Cai L, Cheng Q, Zhang C. Modeling and analysis of the vibration characteristics of a new type of in-arm hydropneumatic suspension of a tracked vehicle. Journal of Vibroengineering, 2016; 18(7): 4627–4646.
[15] Jiao N, Guo J, Liu S. Hydro-pneumatic suspension system hybrid reliability modeling considering the temperature influence. IEEE Access, 2017; 5: 19144–19153.
[16] Solomon U, Padmanabhan C. Hydro-gas suspension system for a tracked vehicle: Modeling and analysis. Journal of Terramechanics, 2011; 48(2): 125–137.
[17] Gündoğdu Ö. Optimal seat and suspension design for a quarter car with driver model using genetic algorithms. International Journal of Industrial Ergonomics, 2007; 37(4): 327–332.
[18] Gobbi M, Mastinu G. Analytical description and optimization of the dynamic behaviour of passively suspended road vehicles. Journal of sound and vibration, 2001; 245(3): 457–481.
[19] Peng D Z, Tan G F, Fang K K, Chen L, Agyeman P K, Zhang Y X. Multiobjective optimization of an off-road vehicle suspension parameter through a genetic algorithm based on the particle swarm optimization. Mathematical Problems in Engineering, 2021; 2021(9): 1–14.
[20] Kuznetsov A, Mammadov M, Sultan I, Hajilarov E. Optimization of a quarter-car suspension model coupled with the driver biomechanical effects. Journal of Sound and Vibration, 2011; 330(12): 2937–2946.
[21] Sarker R, Ray T. An improved evolutionary algorithm for solving multi-objective crop planning models. Computers and Electronics in Agriculture, 2009; 68(2): 191–199.
[22] Farid T M, Salah A, Abbas D. Design of optimal linear suspension for quarter car with human model using genetic algorithms. Journal of Applied Sciences Research, 2011; 7(11): 1709–1720.
[23] Wu W, Hu L, Zhang Z. Collaborative optimization of nonlinear hydropneumatic suspension dynamic characteristics. Journal of Testing and Evaluation, 2020; 48(2): 20180506.
[24] Mohsen M, Kamel H, Sharaf A M, El-Demerdash S M. Optimal design of passive suspension system of a 6×6 multi-wheeled all-terrain vehicle using genetic algorithm. International Journal of Heavy Vehicle Systems, 2018; 25(3-4): 508–533.
[25] Gomes H M. A swarm optimization algorithm for optimum vehicle suspension design. In Proceedings of 20th International Congress of Mechanical Engineering, 2009; pp.1–10.
[26] Wei L, Xue T, Mao E R, Du Y F, Li Z, He X K. Design and experiment of multifunctional steering system for high clearance self-propelled sprayer. Transactions of the CSAM, 2019; 50(1): 141–151.
[27] Chen S A, Qiu F, He R, Lu S L. Analysis of self-aligning torque from vehicle kingpin inclination. Transactions of the CSAM, 2008; 39(7): 32–35. (in Chinese)
[28] Coello C, Pulido G T, Lechuga M S. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004; 8(3): 256–279.
[29] Zhang Y, Tian Z, Ma W, Zhang M, Yang L. Hyperspectral detection of walnut protein contents based on improved whale optimized algorithm. Int J Agric & Biol Eng, 2022; 15(6): 235–241.
[30] Li S, Liu X, Liu Z. Interlaminar shear fatigue and damage characteristics of asphalt layer for asphalt overlay on rigid pavement. Construction and Building Materials, 2014; 68: 341–347.
[31] Sun L, Cai X, Yang J. Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion. Journal of Sound and Vibration, 2007; 301(1-2): 18–27.
[32] Czyzżak P, Jaszkiewicz A. Pareto simulated annealing-a metaheuristic technique for multiple-objective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 1998; 7(1): 34–47.
[33] 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.
[34] Li K, Sha Z, Xue W, Chen X, Mao H, Tan G. A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. Computers and Electronics in Agriculture, 2020; 168: 105096.
[35] Chen Y. Research on design methods and characteristics of independent strut type air suspension system for high clearance sprayer. Doctoral dissertation, Beijing: China Agricultural University. 2017; pp.95–96. (in Chinese)
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Published
2024-05-21
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Yang, F., Du, Y., Wen, C., Li, Z., Mao, E., & Zhu, Z. (2024). Optimization design of the hydro-pneumatic suspension system for highclearance self-propelled sprayer using improved MOPSO algorithm. International Journal of Agricultural and Biological Engineering, 17(2), 109–122. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/7813
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