新型节能液压抽油机参数优化分析  

Parameters Optimization Analysis of New Energy-Saving Hydraulic Pumping Unit

在线阅读下载全文

作  者:赵赞魁 汪成文 ZHAO Zan-kui;WANG Cheng-wen(College of Mechanical and Vehicle Engineering,Taiyuan University of Technology,Shanxi Taiyuan 030024,China;Key Lab of Advanced Transducers and Intelligent Control System,Ministry of Education,Taiyuan University of Technology,Shanxi Taiyuan 030024,China)

机构地区:[1]太原理工大学机械与运载工程学院,山西太原030024 [2]太原理工大学新型传感器与智能控制教育部重点实验室,山西太原030024

出  处:《机械设计与制造》2024年第8期254-259,266,共7页Machinery Design & Manufacture

基  金:山西省重点研发计划项目(201903D121069);山西省回国留学人员科研教研资助项目(HGKY2019016)。

摘  要:针对现有游梁式抽油机能耗大、能效低状况,提出一种新型节能液压抽油机,并对影响抽油机能耗和性能的关键参数进行优化设计。基于AMESim平台搭建了所提抽油机仿真模型,将关键参数分为主要参数和非主要参数,采用遗传算法分步对主要参数和非主要参数进行优化设计,并通过理论计算分析和验证所得优化结果;其次,基于优化值对抽油杆位移进行闭环控制来调节抽油杆的速度特性,以减小换向产生的冲击振动。为验证优化结果对降低电动机功率的效果以及所提抽油机的节能优势,进行了多组仿真对比分析,结果表明:优化结果下电动机功率是保证系统性能的最小功率,且功率约为无能量回收液压抽油机的25%,节能效果显著。The existing beam pumping units are low energy efficiency and cost much energy,so an energy-saving hydraulic pumping unit was proposed,key parameters affecting the pumping unit energy consumption and performance were optimized.Pumping unit simulation model was built based on AMESim platform.The key parameters were divided into main parameters and non main parameters,which were optimized step by step with genetic algorithm,optimization results were analyzed and verified by theoretical calculation.Secondly,a closed-loop control of sucker rod displacement was done to adjust sucker rod speed characteristics with optimization results,which can reduce impact vibration during reversing.To verify the optimization results effect on reducing motor power and energy saving advantage,several groups of simulation and comparative analysis were carried out,the results show that:with optimization results,motor power is the minimum power to ensure the system performance,which is about 25%of that of hydraulic pumping unit without energy recovery.

关 键 词:液压抽油机 能量回收 参数优化 遗传算法 位移控制 

分 类 号:TH16[机械工程—机械制造及自动化] TH137[石油与天然气工程—石油机械设备] TE933

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象