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Position: Home > Articles > Multi-objective Dynamic Design Optimization for Air Duct of Air-assisted Boom Sprayer Based on RVM Transactions of the Chinese Society for Agricultural Machinery 2010,41 (6) 81-86

喷杆喷雾机风助风筒相关向量机多目标优化设计

作  者:
刘雪美;张晓辉;刘丰乐;马伟伟
单  位:
山东农业大学机械与电子工程学院
关键词:
喷杆喷雾机;风助风筒;多目标优化;相关向量机;多目标遗传算法;模糊系统
摘  要:
针对气流辅助式喷杆喷雾机的风助风筒原始设计的缺陷,提出了一种集成相关向量机、多目标遗传算法和模糊推理技术的多目标优化设计方法。为增加辅助气流的减飘和穿透能力,构造了风助风筒的设计优化目标函数。利用均匀设计安排试验方案,并通过流体动力学仿真完成训练样本采集。选定相关向量机作为优化设计的评估函数。结合多目标遗传算法,求解出问题的Pareto最优解集,建立模糊推理系统获取问题的最终解。应用CFD验证经圆整后的最终解,其流速分布均匀性指标得到显著提高。改进的物理样机试验证明了优化方法的可行性和高效性。
译  名:
Multi-objective Dynamic Design Optimization for Air Duct of Air-assisted Boom Sprayer Based on RVM
作  者:
Liu Xuemei Zhang Xiaohui Liu Fengle Ma Weiwei(College of Mechanical and Electrical Engineering,Shandong Agricultural University,Tai'an 271018,China)
关键词:
Boom sprayer,Air duct of air-assisted,Multi-objective dynamic design optimization,Relevance vector machine,Multi-objective genetic algorithm,Fuzzy system
摘  要:
To improve the original design flaws of air duct of air-assisted boom sprayer,a multi-objective optimization approach integrated relevance vector machines(RVM),multi-objective genetic algorithms(MOGA) and fuzzy system were presented.First of all,the multi-objectives of the air duct were constructed to improve the capability of reduced spray drift and increased penetration.The computational fluid dynamics(CFD) analysis of air-flow generating duct were utilized for sampling scheme given by uniform design to collect the train dataset.Sequentially,RVM based on meta-model as fitness function was combined with MOGA to obtain the Pareto optimal set.Finally,a fuzzy inference system was established as decision-making support to obtain the optimum preference solution.Therefore,the optimized air duct structure with the round solution analyzed by CFD showed the promising improvement on flow speed variation.The modified physical prototype proofed feasibility and efficiency of this approach.

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