吉林大学学报(信息科学版) ›› 2026, Vol. 44 ›› Issue (1): 36-42.

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基于参数辨识永磁半直驱抽油机无速度传感器控制

钱 坤1,2 , 孙延安1,2 , 卢成国1,2 , 惠小龙1,2 , 郑东志1,2 , 贾 琪1,2 , 刘 伟3 , 李骥楠1,2 , 褚福鹏3   

  1. 1. 中国石油大庆油田有限责任公司 采油工艺研究院, 黑龙江 大庆 163453; 2. 多资源协同陆相页岩油绿色开采全国重点实验室, 黑龙江 大庆 163453; 3. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318
  • 收稿日期:2024-11-01 出版日期:2026-01-31 发布日期:2026-02-02
  • 通讯作者: 刘伟(1971— ), 男, 黑龙江宾县人, 东北石油大学 教授, 博士生导师, 主要从事智能监测与诊断、 电机与系统智能控制、 油气信息与智能控制研究, ( Tel)86-13845966361 (E-mail)nepuliuwei@ 163. com
  • 作者简介:钱坤(1988— ), 男, 黑龙江大庆人, 中国石油大庆油田有限责任公司高级工程师, 主要从事采油工程理论与技术研究, (Tel)86-13836956215(E-mail)qk13836956215@ 163. com
  • 基金资助:
    大庆油田有限责任公司科技攻关基金资助项目(DQYT-1204003-2023-JS-985)

Sensorless Speed Control and Parameter Identification for Semi-Direct Drive Pumping Units of Permanent Magnet 

QIAN Kun 1,2 , SUN Yanan 1,2 , LU Chengguo 1,2 , HUI Xiaolong 1,2 , ZHENG Dongzhi 1,2 , JIA Qi 1,2 , LIU Wei 3 , LI Jinan 1,2 , CHU Fupeng 3   

  1. 1. Research Institute of Oil Production Technology, Petrochina Daqing Oilfield Company, Daqing 163453, China; 2. Multi-Resource Coordination Continental Shale Oil Green Mining State Key Laboratory, Daqing 163453, China; 3. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2024-11-01 Online:2026-01-31 Published:2026-02-02

摘要: 针对永磁半直驱抽油机系统存在的速度传感器依赖及参数漂移问题, 提出了一种结合无速度传感器与参 数辨识的矢量控制方法。 通过设计滑模观测器替代旋转变压器等速度传感器, 并基于 Popov 超稳定理论构建模 型参考自适应模型, 同步建立定子电阻、 电感及磁链参数辨识的闭环系统架构。 实验结果表明, 该方法能精确 估计电机转速, 并通过模型参考自适应算法动态追踪参数变化。 相较于依赖旋转变压器的控制方案, 通过滑模 观测器与参数辨识的结合, 消除传感器硬件成本, 显著提升了系统参数估计能力, 为油田抽油机在恶劣工况下 的稳定运行提供了新的解决方案。

关键词: 无速度传感器, 滑模观测器, 参数辨识, 模型参考自适应

Abstract: In view of the problems of speed sensor dependence and parameter drift in permanent magnet semi- direct drive pumping unit, a vector control method combining speed sensorless and parameter identification is proposed. A sliding mode observer is designed to replace speed sensors such as rotary transformers, and a model reference adaptive system model is constructed based on Popov hyperstability theory. The closed-loop system architecture of stator resistance, inductance and flux parameter identification is established synchronously. The experimental results show that the proposed method can accurately estimate the motor speed and dynamically track the parameter change through the model reference adaptive algorithm. Compared to the control scheme that relies on the rotating transformer, the new system eliminates the hardware cost of the sensor and significantly improves the system parameter estimation ability through the double closed-loop coordination of the sliding mode observer and parameter identification. The design provides a new solution for the stable operation of the oil pumping unit under harsh working conditions. 

Key words: speed sensorless, sliding mode observer, parameter identification, model reference adaptive method

中图分类号: 

  • TP273