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基于NSGA-II的电液伺服泵控制系统高效与高动态优化匹配研究

Research on high efficiency and high dynamic optimal matching of the electro-hydraulic servo pump control system based on NSGA-II.

作者信息

Yang Mingkun, Yan Guishan, Zhang Yuhang, Zhang Tiangui, Ai Chao

机构信息

School of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, China.

School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou, 510275, China.

出版信息

Heliyon. 2023 Feb 18;9(3):e13805. doi: 10.1016/j.heliyon.2023.e13805. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e13805
PMID:36873508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9981931/
Abstract

An electro-hydraulic servo pump control system (hereinafter referred to as EHSPCS) is a volume servo control unit that is highly integrated with servo motors, fixed-displacement pumps, hydraulic cylinders and functional valve groups. Because of its unique volume direct-drive control mode, the dynamic performance of the system is limited, and the thermal power loss is large, which seriously restricts the improvement of the working quality of the system. To improve the dynamic performance of the system and reduce the thermal power loss to the maximum extent, a multi-objective optimization design method for the EHSPCS is proposed by comprehensively considering the dynamic and efficient energy-saving characteristics of the system. The evaluation model of the dynamic period of the hydraulic cylinder and the thermal power loss of the servo motor are given. Parameters such as the electromagnetic torque of the servo motor, displacement of the hydraulic pump, and working area of the hydraulic cylinder are intelligently optimized by a non-dominated sorting genetic algorithm with elite strategy (NSGA-II). The Pareto front of multi-objective optimization and the corresponding Pareto solution set are obtained; thus, the optimal matching of the system characteristics is realized. Finally, the relevant theory of the multi-objective optimization algorithm is applied to optimize the performance parameters of the hydraulic servo motor, and the prototype is tested in engineering. The experimental results show that the dynamic period of the hydraulic servo motor is accelerated after optimization, and the thermal power loss is significantly reduced. The dynamic and efficient energy-saving characteristics of the system are improved, which further verifies the feasibility of the proposed theory.

摘要

一种电液伺服泵控制系统(以下简称EHSPCS)是一种与伺服电机、定量泵、液压缸和功能阀组高度集成的容积伺服控制单元。由于其独特的容积直接驱动控制方式,系统的动态性能有限,热功率损失大,严重制约了系统工作质量的提高。为了提高系统的动态性能并最大程度降低热功率损失,通过综合考虑系统的动态和高效节能特性,提出了一种EHSPCS的多目标优化设计方法。给出了液压缸动态周期和伺服电机热功率损失的评估模型。采用带精英策略的非支配排序遗传算法(NSGA-II)对伺服电机电磁转矩、液压泵排量、液压缸工作面积等参数进行智能优化。得到了多目标优化的帕累托前沿和相应的帕累托解集;从而实现了系统特性的最优匹配。最后,将多目标优化算法的相关理论应用于优化液压伺服电机的性能参数,并在工程中对样机进行了测试。实验结果表明,优化后液压伺服电机的动态周期加快,热功率损失显著降低。系统的动态和高效节能特性得到改善,进一步验证了所提理论的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/b2723ef02038/gr10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/b2723ef02038/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/71b517414241/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/1a91cf6c28e7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/878bae61a922/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/8c687f6cbf60/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/6b1d9bc6544f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/247375fe6286/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/29a2c3a6ddf1/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/b140636b1669/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/c5ee55b47fd4/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3995/9981931/b2723ef02038/gr10.jpg

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