| 基于遗传算法的装载机工作装置优化设计研究 |
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| 引用本文： | 钟默,;高公如,;张义华,;韩斌,;张学春,;张同强,;杨化林. 基于遗传算法的装载机工作装置优化设计研究[J]. 现代制造技术与装备, 2014, 0(3): 27-30 |
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| 作者姓名： | 钟默, 高公如, 张义华, 韩斌, 张学春, 张同强, 杨化林 |
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| 作者单位： | [1]山东常林机械集团股份有限公司,临沭276700; [2]青岛科技大学,青岛266061 |
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| 基金项目： | 山东省博士后创新基金项目资助（201202005）. |
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| 摘 要： | 针对装载机工作装置设计要求满足平动性和较大掘起力等需求,采用标准遗传算法与惩罚函数相结合的优化方法,使得设计结果符合铲斗举升平动性这一目标,铲斗举升时位置角的变化均不超过10°,并满足高位卸载角度的要求。该方法解决了通常遗传算法面临的约束函数多、约束函数非线性的困难,通过各个控制参数的合理配置,快速得到一批最优稳定解,为装载机工作装置的设计提供动力性能更高并且工作性能优良的设计方案,提高了工程设计水平和设计效率,缩短了设计周期。
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| 关 键 词： | 遗传算法 装载机 工作装置 优化设计 |
Optimization Research of the Working Device of Loader Based on Genetic Algorithm |
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| Affiliation: | ZHONG Mo,GAO Gongru,ZHANG Yihua,HAN Bin,ZHANG Xuechun,ZHANG Tongqiang, YANG Hualin (1.Shandong Changlin Machinery Group Corporation Limited, Linshu 276700;2. Qingdao university of science and technology Mechanical and electrical engineering college, Qingdao 266061 ) |
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| Abstract: | According to the design requirement of working device of loader to satisfy the translational and great breakout force demand, optimization method using genetic algorithm and penalty function combination were used to make the design results meet the target bucket lifting translational, bucket lifting to change position angle is less than 10 , and satisfy the high requirements of the unloading point. The method solved many difficulties such as genetic algorithm facing many constraint functions and constrained nonlinear function. Through the rational allocation of various control parameters, a number of optimal and stable solution were quickly got, which provided higher performance and design excellent work performance for the design of working device of loader. |
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| Keywords: | genetic algorithm loader work device theoptimization design |
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