基于定转子电阻在线辨识的感应电机转速估计方法
发布时间：2018-10-16 09:04
【摘要】：在采用矢量控制的交流异步电机变频调速系统中,为了获得转速进行系统闭环控制,通常需要采用速度传感器等装置来测量电机实际转速。无速度传感器可以克服速度传感器由于安装不便以及在出现故障时整个调速系统受到影响甚至无法工作等缺点,因此无速度传感器转速估计算法是各国学者最近几年研究的热点之一。转速信息的准确辨识是无速度传感器矢量控制技术的核心,也是矢量控制系统磁场定向的基础。现有的无速度传感器转速估计方法中以模型参考自适应法(MRAS)最为成熟,MRAS法中参考模型和可调模型需要准确的电机参数才能精确的辨识出转速,然而电机运行过程中温度变化导致电机参数如定子电阻和转子电阻的变化,最终导致转速估计精度不高甚至不准,故需要在转速估计的同时在线辨识电机参数达到高精度转速估计目的。本文主要工作在于:1.研究交流异步电机数学模型及其矢量控制算法,搭建带速度传感器的交流异步电机矢量控制系统。2.研究MRAS无速度传感器转速估计方法,分析了基于磁链转速辨识和基于反电动势转速辨识方法优缺点以及定子电阻和转子电阻变化对转速辨识的影响。3.本文通过分析传统的基于磁链MRAS定转子电阻和转速交互式辨识方法不能消除积分环节的影响,提出了一种改进的基于反电动势MRAS定转子电阻和转速交互式辨识方法,最后通过Simulink仿真。仿真数据表明电机无论运行在高速段1000rpm还是运行在低速段100rpm,定转子电阻辨识模块能高精度的辨识定转子电阻,提高了转速估计精度,减小了电磁转矩脉动。4.将上述算法应用于基于dSPACE半物理仿真平台硬件在环(HIL)系统和基于DSP2812的1.1KW电机实验平台,并进行了实验。实验验证了电机无论运行在高速段还是运行在低速段,该算法都能很好辨识出电机转速,且有较高的辨识精度。Simulink离线仿真和dSPACE、DSP2812电机实验结果表明:该算法能够很好的在线辨识定转子电阻以及电机转速,使用其估计的转速进行无速度传感器电机矢量控制系统闭环控制,该系统能够很好满足动、静态性能要求,验证了该算法在实践中的可行性。
[Abstract]:In the variable frequency speed control system of AC asynchronous motor using vector control, in order to obtain the speed of the system for closed-loop control, it is usually necessary to use speed sensor to measure the actual speed of the motor. The speed sensor can overcome the disadvantages of the speed sensor because of the inconvenience of installation and the whole speed regulating system being affected or even unable to work in the event of failure. Therefore, speed sensorless speed estimation algorithm is one of the hot research topics in recent years. The accurate identification of speed information is the core of speed sensorless vector control technology and the basis of vector control system magnetic field orientation. Among the existing speed estimation methods without speed sensor, the model reference adaptive method (MRAS) is the most mature. The reference model and adjustable model in MRAS method need accurate motor parameters to identify the speed accurately. However, the change of temperature in the process of motor operation leads to the change of motor parameters such as stator resistance and rotor resistance, and the precision of speed estimation is not high or even inaccurate. Therefore, it is necessary to identify the parameters of the motor at the same time as the speed estimation to achieve the purpose of high precision speed estimation. The main work of this paper is as follows: 1. The mathematical model of AC asynchronous motor and its vector control algorithm are studied, and the vector control system of AC asynchronous motor with speed sensor is built. 2. The speed estimation method of MRAS sensorless speed sensor is studied. The advantages and disadvantages of speed identification methods based on flux chain speed identification and backEMF speed identification and the influence of stator resistance and rotor resistance on speed identification are analyzed. By analyzing that the traditional interactive identification method based on flux chain MRAS can not eliminate the influence of integral link, this paper presents an improved interactive identification method of stator and rotor resistance and speed based on backEMF MRAS. Finally, it is simulated by Simulink. The simulation data show that the stator and rotor resistance identification module can identify the stator and rotor resistance with high precision, improve the speed estimation accuracy and reduce the electromagnetic torque ripple, regardless of whether the motor is running at high speed 1000rpm or in low speed section 100rpm. The algorithm is applied to the hardware in loop (HIL) system based on dSPACE semi-physical simulation platform and the 1.1KW motor experiment platform based on DSP2812. The experimental results show that the algorithm can recognize the speed of the motor well, regardless of whether it is running at high speed or at low speed. The results of Simulink off-line simulation and dSPACE,DSP2812 motor experiment show that the algorithm can identify the resistance of stator and rotor and the speed of motor on line. The speed estimation is used to control the speed sensorless motor vector control system. The system can meet the requirements of dynamic and static performance. The feasibility of the algorithm in practice is verified.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM346
本文编号：2273875
[Abstract]:In the variable frequency speed control system of AC asynchronous motor using vector control, in order to obtain the speed of the system for closed-loop control, it is usually necessary to use speed sensor to measure the actual speed of the motor. The speed sensor can overcome the disadvantages of the speed sensor because of the inconvenience of installation and the whole speed regulating system being affected or even unable to work in the event of failure. Therefore, speed sensorless speed estimation algorithm is one of the hot research topics in recent years. The accurate identification of speed information is the core of speed sensorless vector control technology and the basis of vector control system magnetic field orientation. Among the existing speed estimation methods without speed sensor, the model reference adaptive method (MRAS) is the most mature. The reference model and adjustable model in MRAS method need accurate motor parameters to identify the speed accurately. However, the change of temperature in the process of motor operation leads to the change of motor parameters such as stator resistance and rotor resistance, and the precision of speed estimation is not high or even inaccurate. Therefore, it is necessary to identify the parameters of the motor at the same time as the speed estimation to achieve the purpose of high precision speed estimation. The main work of this paper is as follows: 1. The mathematical model of AC asynchronous motor and its vector control algorithm are studied, and the vector control system of AC asynchronous motor with speed sensor is built. 2. The speed estimation method of MRAS sensorless speed sensor is studied. The advantages and disadvantages of speed identification methods based on flux chain speed identification and backEMF speed identification and the influence of stator resistance and rotor resistance on speed identification are analyzed. By analyzing that the traditional interactive identification method based on flux chain MRAS can not eliminate the influence of integral link, this paper presents an improved interactive identification method of stator and rotor resistance and speed based on backEMF MRAS. Finally, it is simulated by Simulink. The simulation data show that the stator and rotor resistance identification module can identify the stator and rotor resistance with high precision, improve the speed estimation accuracy and reduce the electromagnetic torque ripple, regardless of whether the motor is running at high speed 1000rpm or in low speed section 100rpm. The algorithm is applied to the hardware in loop (HIL) system based on dSPACE semi-physical simulation platform and the 1.1KW motor experiment platform based on DSP2812. The experimental results show that the algorithm can recognize the speed of the motor well, regardless of whether it is running at high speed or at low speed. The results of Simulink off-line simulation and dSPACE,DSP2812 motor experiment show that the algorithm can identify the resistance of stator and rotor and the speed of motor on line. The speed estimation is used to control the speed sensorless motor vector control system. The system can meet the requirements of dynamic and static performance. The feasibility of the algorithm in practice is verified.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM346
【参考文献】
相关期刊论文 前2条
1 王明渝;陈杨裕;邓威;王瑞妙;;定转子电阻在线辨识的感应电机转速估计方法[J];电机与控制学报;2010年04期
2 刘永钦;沈艳霞;纪志成;;改进型最小二乘法在PMSM参数辨识中的应用[J];微特电机;2008年11期
，本文编号：2273875
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