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基于遗传算法和差分进化的高速冲床运动学优化

Kinematic Optimization of High-Speed Press Based on Genetic Algorithm and Differential Evolution

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【作者】 孙夕阳王栓虎

【Author】 SUN Xiyang;WANG Shuanhu;School of Mechanical Engineering,Nanjing University of Science and Technology;

【机构】 南京理工大学机械工程学院

【摘要】 提出一种可以实现自身动平衡的高速冲床的新型传动机构。针对优化算法的缺陷,提出一种遗传算法与差分进化相结合的混合算法,并阐述了该算法的流程。将该机构简化,进而建立其优化模型。利用混合算法对其进行优化,得出优化前后冲压滑块的运动学特性比较图。结果表明,优化后的结构在高速冲压时具有更好的输出运动特性,表明该算法是一种非常切实有效的优化算法。

【Abstract】 The novel transmission mechanism of high-speed press which ensures inertial balance was proposed. For the deficiency of optimum algorithm,a hybrid algorithm combining genetic algorithm with differential evolution was presented and its scheme was stated. Then the mechanism was simplified and optimization model was established. A comparative study for kinematics was made between original and optimized dimensions by the GA-DE algorithm. As the result shown, the optimized mechanism is of better output motion for high-speed punching,which indicates the algorithm is highly effective.

【基金】 国家自然基金项目(51275243);江苏省科技支撑项目(BE2012174)
  • 【文献出处】 轻工机械 ,Light Industry Machinery , 编辑部邮箱 ,2014年01期
  • 【分类号】TG385.1
  • 【被引频次】2
  • 【下载频次】95
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