基于扩展卡尔曼滤波器的交流异步电机转速和转子磁链观测器
发布时间：2018-08-09 09:08
【摘要】：二十一世纪以来,随着电力电子器件、计算机技术的飞速发展,使得芯片以及很多微电子器件有了很大的进步,对感应电机数字化控制系统以及无速度传感器的研究和发展产生了很大的推动作用。 论文首先对近年来交流电机变频调速发展的状况做了一个综述,介绍了几个比较常见的无速度传感器的发展以及优劣点。并重点介绍了三相异步电机的几种不同坐标系下的数学模型。阐述了转子磁场定向的基本原理。 本文随后介绍了一个基于反电动势法的异步电机无速度传感器矢量控制方法,讲述了这种方法的控制理论并且介绍了转速外环以及电流内环调节器参数运用工程设计原理整定的方法,然后在MATLAB/Simulink环境下构造了一个基于BEMF算法的无速度传感器异步电机矢量控制系统来验证BEMF的性能并给出仿真结果 本文主要介绍了另一种无速度传感器的算法,即扩展卡尔曼滤波算法,介绍了扩展卡尔曼滤波的发展、思想以及算法流程。随后利用MATLAB/Simulink搭建了基于扩展卡尔曼滤波(EKF)的矢量控制系统,仿真结果验证了EKF的优良性能,同时也指出EKF的缺点。 最后实验部分是基于Renesas公司的RX62T芯片的单片机系统,通过CubeSuit+软件编译环境,然后对EKF进行模块化程序的编写,通过软件实现扩展卡尔曼滤波。实验结果良好,表明了EKF算法可行。
[Abstract]:Since the 21 century, with the rapid development of power electronic devices and computer technology, chips and many microelectronic devices have made great progress. The research and development of induction motor digital control system and sensorless speed sensor have been greatly promoted. Firstly, this paper summarizes the development of AC motor speed regulation by frequency conversion in recent years, and introduces several common speed sensorless developments and advantages and disadvantages. The mathematical models of three-phase asynchronous motor in different coordinate systems are introduced. The basic principle of rotor magnetic field orientation is described. This paper then introduces a speed sensorless vector control method for asynchronous motor based on backEMF. This paper describes the control theory of this method and introduces the method of setting the parameters of the external loop and the current inner loop regulator using the engineering design principle. Then a speed sensorless asynchronous motor vector control system based on BEMF algorithm is constructed in MATLAB/Simulink environment to verify the performance of BEMF and the simulation results are given. This paper mainly introduces another speed sensorless algorithm. This paper introduces the development, idea and algorithm flow of extended Kalman filter (EKF). Then a vector control system based on extended Kalman filter (EKF) is built by using MATLAB/Simulink. The simulation results verify the excellent performance of EKF and point out the shortcomings of EKF. The last part of the experiment is based on Renesas RX62T chip MCU system, through the CubeSuit software compilation environment, and then the EKF modular programming, through the software to achieve extended Kalman filter. The experimental results show that the EKF algorithm is feasible.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN713;TM343
本文编号：2173612
[Abstract]:Since the 21 century, with the rapid development of power electronic devices and computer technology, chips and many microelectronic devices have made great progress. The research and development of induction motor digital control system and sensorless speed sensor have been greatly promoted. Firstly, this paper summarizes the development of AC motor speed regulation by frequency conversion in recent years, and introduces several common speed sensorless developments and advantages and disadvantages. The mathematical models of three-phase asynchronous motor in different coordinate systems are introduced. The basic principle of rotor magnetic field orientation is described. This paper then introduces a speed sensorless vector control method for asynchronous motor based on backEMF. This paper describes the control theory of this method and introduces the method of setting the parameters of the external loop and the current inner loop regulator using the engineering design principle. Then a speed sensorless asynchronous motor vector control system based on BEMF algorithm is constructed in MATLAB/Simulink environment to verify the performance of BEMF and the simulation results are given. This paper mainly introduces another speed sensorless algorithm. This paper introduces the development, idea and algorithm flow of extended Kalman filter (EKF). Then a vector control system based on extended Kalman filter (EKF) is built by using MATLAB/Simulink. The simulation results verify the excellent performance of EKF and point out the shortcomings of EKF. The last part of the experiment is based on Renesas RX62T chip MCU system, through the CubeSuit software compilation environment, and then the EKF modular programming, through the software to achieve extended Kalman filter. The experimental results show that the EKF algorithm is feasible.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN713;TM343
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