【作者】 郝宏海；

【导师】 王立国；

【作者基本信息】 哈尔滨工业大学 ， 电气工程， 2011， 硕士

【摘要】 本文以国家自然科学基金“基于网络热力学建模的潜油电泵机组温度软测量方法研究”(50877016)为基础,针对我国各大油田开采后期普遍存在的高温高压问题,基于潜油电机的无传感器温度辨识,进行高含沙高含气条件下潜油电机的智能配电研究。通过推导转子槽谐波与潜油电机温升之间的数学机理,为构建潜油电机实时温度监测系统奠定了理论分析基础。设计辨识温度与变频器供电闭环控制系统,为实现潜油电机节能及稳定高效运行智能配电控制提供了理论参考。本文的主要内容如下:研究基于快速傅立叶变换获取潜油电机定子电流频谱的方法,给出转子槽谐波与潜油电机转速之间的变化机理。根据三相感应电机在ABC坐标系和αβ坐标系下的电机定转子模型以及二者之间的转换关系,为无传感器温度辨识系统奠定了理论基础。建立了ABC坐标系转化到αβ坐标系的三相感应电机数学模型,利用辅助渐消记忆最小二乘递推算法完成潜油电机的参数辨识,通过仿真验证快速傅立叶分析结果的精度;为实现基于转子槽谐波分析的潜油电机温度辨识奠定了算法分析基础。设计以工控机和数据采集卡为核心的硬件平台,对电机进行了不同转速、不同负载下的电机温度辨识。搭建了以DSP2812为控制中心的辨识系统,并用其实现了在线温度辨识与过热保护控制,验证高温过热条件下潜油电机温度辨识与变频降速控制系统的正确性性。应用SolidWorks软件建立了潜油电机及其铠装电缆的三维模型,基于Ansys Workbench中,实现了潜油电机温度场的数学推导,并在一定程度上对长线铠装电缆温度场摄动进行研究;有限元计算温度与实验平台实测温度相印证,可验证本潜油电机温度辨识系统的准确性。更多还原

【Abstract】 This paper is based on National Natural Science Foundation project“Temperature Soft-sensing for Submersible Motor Based on Network Thermodynamic”(50877016), focusing on the common problem of high temperature and high pressure in the oil field of China, research on the smart power supply of the submersible motor in the environment where filled with sand and gas via sensorless temperature estimation. By conducing the mathematical mechanism between rotor slot harmonics and submersible motor temperature, make the foundation of real-time temperature monitoring system of submersible motor. Design the closed-loop control system of temperture estimation and converter power supply, servering as theoretical reference of submersible motor energy efficient operation of intelligent power distribution and stability control. The main content is as follow:Research on the method of obtaining the frequency spectrum of the stator current according to FFT. Give the relation between the speed of motor and rotor slot harmonics. Deduce the least square method based on motor modeling in ABC coordinate andαβcoordinate.Build the three phase induction motor model in ABC coordinate and transfer it toαβcoordinate. Use the least square method to estimate the submersible parameter. Verify the result of FFT. Lay the basis for identification of submersible motor based on rotor slot harmonics.Design the hardware platform, which is featured by IPC and PCI. Identify the motor temperature in different speed and different load. Building the monitoring system by DSP2812 and realize the real-time temperature estimate and protection on overheat, verifys the accuracy of submersible motor temperature identification and frequency droop control system under the condition of overheat.Establish three-dimensional submersible motor and armored cable model by solid works and import it into Ansys Workbench. Achieve the Mathematical deduction on the temperature field of submersible motor. Analyze the temperature field of the motor. Thus verify the accuracy of this temperature monitoring system.更多还原