Optimized design and test for a pendulum suspension of the crop spray boom in dynamic conditions based on a six DOF motion simulator
Keywords:
boom sprayer, pendulum suspension, optimization, spray boom movement, spray deposit distribution, six DOF motion simulatorAbstract
Spray deposit distribution from a field sprayer is mainly affected by the boom movements when the tractor is driven over a rough soil surface, the pendulum suspension that used to reduce and control the movement of spray boom by isolating the boom from vibrations of the tractor will directly enhance uniform deposition of chemicals. However, how to match the parameters of the suspension with the properties of the boom is the key problem. The dynamic rigid-flexible coupling model of the virtual prototype of the spray boom suspension system was established by using ADAMS and ABAQUS software. An optimization of the suspension parameters for a large spay boom was carried out based on the optimal Latin hypercube design, radial basis function neural network, and multi-objective genetic algorithm NSGA-II. After modified parameters of the suspension, the travel of the sprayer on a typical field motion track was simulated based on a six DOF motion simulator, and the dynamic behavior of the boom suspension was measured. The results show that RMS of the measured boom roll angle and the boom center displacement for optimized solution were reduced by 14.76% and 12.43% compared with the original suspension. Finally, the inertial measurement unit (IMU) was used to measure the movements of the sprayer vehicle during the pesticide application on the Hongze Lake Farm, the experiment of field condition reproduced by using the six DOF motion simulator, the standard deviation of the roll angle and vibration displacement for the optimized sprayer boom are only 0.6382° and 62.279 mm respectively. The research provides theoretical basis and experimental method for parameter optimization of large scale boom suspension. Keywords: boom sprayer, pendulum suspension, parameter optimization, spray boom movement, spray deposit distribution, six DOF motion simulator DOI: 10.25165/j.ijabe.20181103.3717 Citation: Cui L F, Mao H P, Xue X Y, Ding S M, Qiao B Y. Optimized design and test for a pendulum suspension of the crop spray boom in dynamic conditions based on a six DOF motion simulator. Int J Agric & Biol Eng, 2018; 11(3): 76–85.References
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[15] Zhao J, Cheng G, Ruan S, Li Z. Multi-objective optimization design of injection molding process parameters based on the improved efficient global optimization algorithm and non-dominated sorting-based genetic algorithm. International Journal of Advanced Manufacturing Technology, 2015; 78(9-12): 1813–1826.
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[18] Cui L F, Xue X Y, Ding S M, Gu W, Chen C. Modeling and simulation of dynamic behavior of large spray boom with active and passive pendulum suspension. Transactions of the CSAM, 2017; 48(2): 82–90. (in Chinese)
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[26] Rajabi-Bahaabadi M, Shariat-Mohaymany A, Babaei M, Chang W A. Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm. Expert Systems with Applications, 2015; 42(12): 5056–5064.
[27] Milani A E, Haghifam M R, Hong W C S. A heuristic approach for multi objective distribution feeder reconfiguration: using fuzzy sets in normalization of objective functions. International Journal of Applied Evolutionary Computation, 2010; 1(1): 227–232.
[2] Deprez K, Anthonis J, Ramon H. System for vertical boom corrections on hilly fields. Journal of Sound & Vibration, 2003; 266(3): 613–624.
[3] Anthonis J, Audenaert J, Ramon H. Design optimization for the vertical suspension of a crop sprayer boom. Biosystems Engineering, 2005; 90(2): 153–160.
[4] Kennes P, Ramon H, Baerdemaeker J D. Modelling the effect of passive vertical suspensions on the dynamic behavior of sprayer booms. Journal of Agricultural Engineering Research, 1999; 72(3): 217–229.
[5] Tahmasebi M, Rahman R A, Mailah M, Gohari M. Roll movement control of a spray boom structure using active force control with artificial neural network strategy. Journal of Low Frequency Noise Vibration & Active Control, 2013; 32(32): 189–202.
[6] He Y J, Qiu B, Yang Y F, Ma J. Deformation analysis and control of elastic deformation for spray boom based on finite element model. Transactions of the CSAE, 2014; 30(6): 28–36. (in Chinese)
[7] Wilkerson J B, Womac A R, Hart W E, Hong Y J. Sprayer boom instrumentation for field use. Transactions of the ASAE, 2004; 47(3): 659–666.
[8] Ramon H, Baerdemaeker J D. Spray boom motions and spray distribution: part 1, tion of a mathematical relation. Journal of Agricultural Engineering Research, 1997; 66(1): 23–29.
[9] Ramon H, Missotten B, Baerdemaeker J D. Spray boom motions and spray distribution, Part 2: Experimental validation of the mathematical relation and simulation results. Journal of Agricultural Engineering Research, 1997; 66(1): 31–39.
[10] Gil E, Gallart M, Balsari P, Marucco P, Almajano M P, Llop J. Influence of wind velocity and wind direction on measurements of spray drift potential of boom sprayers using drift test bench. Agricultural & Forest Meteorology, 2015; 202: 94–101.
[11] Lardoux Y, Sinfort C, Enfält P, Sevila F. Test method for boom suspension influence on spray distribution, Part I: Experimental study of pesticide application under a moving boom. Biosystems Engineering, 2007; 96(1): 29–39.
[12] Lardoux Y, Sinfort C, Enfält P, Sevila F. Test method for boom suspension influence on spray distribution. ii. Validation and use of a spray distribution model. Biosystems Engineering, 2007; 96(2): 161–168.
[13] Sinfort C, Herbst A. Evaluation of the quality of spray distribution from boom sprayers in practical conditions. Eppo Bulletin, 2010, 26(1): 27–36.
[14] Drehmer LRC, Casas WJP, Gomes HM. Parameters optimization of a vehicle suspension system using a particle swarm optimization algorithm. Vehicle System Dynamics, 2015; 53(4): 449–474
[15] Zhao J, Cheng G, Ruan S, Li Z. Multi-objective optimization design of injection molding process parameters based on the improved efficient global optimization algorithm and non-dominated sorting-based genetic algorithm. International Journal of Advanced Manufacturing Technology, 2015; 78(9-12): 1813–1826.
[16] O’sullivan J A. Simulation of the behavior of a spray boom with an active and passive pendulum suspension. Journal of Agricultural Engineering Research, 1986; 35(3): 157–73.
[17] Cui L F, Xue X Y, Ding S M, Qiao B Y, Le F X. Analysis and test of dynamic characteristics of large spraying boom and pendulum suspension damping system. Transactions of the CSAE, 2017; 33(9): 61–68. (in Chinese)
[18] Cui L F, Xue X Y, Ding S M, Gu W, Chen C. Modeling and simulation of dynamic behavior of large spray boom with active and passive pendulum suspension. Transactions of the CSAM, 2017; 48(2): 82–90. (in Chinese)
[19] Abdelkefi A, Barsallo N. Nonlinear analysis and power improvement of broadband low-frequency piezomagnetoelastic energy harvesters. Nonlinear Dynamics, 2015; 83(1): 1–16.
[20] Calvo A, Deboli R. Whole Body Vibration (WBV): Comparison among field data and standard test track (ISO 5008) in different operative conditions, 2009.
[21] Viana F A C, Venter G, Balabanov V. An algorithm for fast optimal Latin hypercube design of experiments. International Journal for Numerical Methods in Engineering, 2010; 82(2): 135–156.
[22] Georgiou S D, Stylianou S. Block-circulant matrices for constructing optimal Latin hypercube designs. Journal of Statistical Planning & Inference, 2011; 141(5): 1933–1943.
[23] Williamson D P, Shmoys D B. The design of approximation algorithms. Cambridge University Press, 2011.
[24] Pourtakdoust S H, Zandavi S M. A hybrid simplex non-dominated sorting genetic algorithm for multi-objective optimization. International Journal of Swarm Intelligence & Evolutionary Computation, 2016; 5(3): 1–11.
[25] Bolaños R I, Echeverry M G, Escobar J W. A multi-objective non-dominated sorting genetic algorithm (NSGA-II) for the Multiple Traveling Salesman Problem. Decision Science Letters, 2015; 4(4): 559–568.
[26] Rajabi-Bahaabadi M, Shariat-Mohaymany A, Babaei M, Chang W A. Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm. Expert Systems with Applications, 2015; 42(12): 5056–5064.
[27] Milani A E, Haghifam M R, Hong W C S. A heuristic approach for multi objective distribution feeder reconfiguration: using fuzzy sets in normalization of objective functions. International Journal of Applied Evolutionary Computation, 2010; 1(1): 227–232.
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Published
2018-06-01
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Cui, L., Mao, H., Xue, X., Ding, S., & Qiao, B. (2018). Optimized design and test for a pendulum suspension of the crop spray boom in dynamic conditions based on a six DOF motion simulator. International Journal of Agricultural and Biological Engineering, 11(3), 76–85. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3717
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Power and Machinery Systems
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