基于多核CPU的复杂液压产品快速并行优化方法
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国家自然科学基金项目(51875381)、山西省研究生创新项目(2021Y695)、山西省回国留学人员科研项目(2020-124)和太原科技大学研究生创新项目(XCX212048)


Rapid Parallel Optimization Method of Complex Hydraulic Product Based on Multi-core CPU
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    摘要:

    为缩短复杂液压产品的研发周期和提高系列化产品的开发效率,提出一种基于多核CPU的复杂液压产品快速并行优化方法。该方法利用粒子群算法寻求产品设计参数的优化和性能指标的约束,将每个仿真程序视作粒子群个体。采用两级加速策略,即CVODE求解器加速和多核CPU加速。以非对称轴向柱塞泵三角槽优化设计为研究对象,通过物理样机试验对CVODE求解器加速方法的准确性进行验证,结果显示,试验与仿真结果吻合度较高。利用粒子群算法对三角槽主要参数进行优化以降低泵输出流量脉动。对比三角槽结构优化前后的流量脉动率,结果显示,在不增加柱塞腔压力的条件下,非对称轴向柱塞泵三角槽优化后的流量脉动相比优化前降低了36%。该方法可脱离专业仿真软件平台,能够独立运行于Windows操作系统,解决液压动态仿真对专业软件依赖的问题,且多进程比多线程编程更容易实现。在8核CPU工作站仿真条件下,与SimulationX平台仿真方法相比,该多核CPU并行方法的仿真效率提高10倍以上,与双核计算机并行运行效率相比提高近5倍。

    Abstract:

    In order to shorten development cycle of hydraulic product and improve development efficiency of serialized products, a rapid parallel optimization method based on multi-core CPU for complex hydraulic product was proposed. The rapid parallel optimization method focuses to the parameter optimization and performance constraints of complex hydraulic product utilizing particle swarm optimization algorithm, treating CVODE simulated program as a particle. The method adopted two-stage strategies for speed, which included CVODE strategy and multi-core CPU strategy. Selecting triangle groove design of variable-displacement asymmetric axial piston pump as the research object, the realization process of parallel optimization based on multi-core CPU was designed. Firstly, the accuracy of CVODE simulated program was verified through prototype experiments. The experiments results showed that the experiment results of physical prototype agreed well with that by CVODE simulated program. Secondly, the main parameter of triangle groove was optimized to reduce flow pulsation using PSO. The flow pulsation before and after the optimization was analyzed. Analysis result showed that the outcomes of optimization lowered flow pulsation by 36% without pressure increase of plunger cavity. The proposed method solved the optimization problem that the simulation of hydraulic system was dependent on professional simulation software, and the simulated program can run independently in windows. Compared with multi-threading,this multi-process parallel method had the advantages of easy programing. On the eight core CPU processor, the efficiency of the multi-core parallel method was 10 times greater than that of SimulationX and it was about five times greater than that of dual-core processor.

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宁志强,卫立新,张瑞,权龙,化建辉,高有山.基于多核CPU的复杂液压产品快速并行优化方法[J].农业机械学报,2022,53(4):441-449. NING Zhiqiang, WEI Lixin, ZHANG Rui, QUAN Long, HUA Jianhui, GAO Youshan. Rapid Parallel Optimization Method of Complex Hydraulic Product Based on Multi-core CPU[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(4):441-449.

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  • 收稿日期:2021-12-21
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  • 在线发布日期: 2022-01-25
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