【作者】 朱自芳；

【导师】 皮佑国； 李先祥；

【作者基本信息】 华南理工大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 随着高性能永磁材料,电力电子技术,大规模集成电路和技术的发展,永磁同步电机由于体积小,功率密度高,效率和功率因素高等优点得到了国内外相关领域的学者和研究人员的广泛重视。传统通过机械位置传感器检测转子位置的方法给调速系统带来许多缺陷,因此对无位置传感器永磁同步电机控制系统的研究具有重要的意义。本文以永磁同步电机矢量控制理论,无传感技术实现,滑模变结构控制的研究为重点,建立了仿真和实验平台并取得了一定的研究成果。本文的主要内容包括:建立了永磁同步电机在不同坐标系下的数学模型,并且对永磁同步电机矢量控制系统进行分析。根据其非线性,强耦合性的特点,通过矢量坐标变换进行解耦,建立了永磁同步电机速度、电流双闭环控制模型。对滑模观测器原理做了深入的研究和分析。采用αβ坐标系,对电机非线性方程进行线性化;利用滑模观测器原理,对永磁同步电机的转子位置和转速进行了实时的在线估计。根据所选取的电机模型,只需电机的定子电压和相电流就可利用滑模观测器估计出电机的转角和转速。利用MATLAB/Simulink平台对基于滑模观测器的PMSM转子位置估算算法进行仿真,验证了本文提出控制方法的可行性。针对算法中低通滤波器输出中含有高次谐波问题,对算法进行了改进。将低通滤波器的输出接入具有推广卡尔曼结构的反电动势观测器中,通过仿真实验表明,具有推广卡尔曼结构的反电动势观测器具有更好的滤波效果,并且具有很好的鲁棒性。在仿真实验的基础上,合理划分控制系统各功能模块,对基于数字信号处理器DSP(TMS320LF2407)及智能功率模块IPM的矢量控制数字化控制系统的软件,硬件设计做了探讨,介绍了硬件控制电路的实现和与之相适应的控制系统软件的编写方法,实现全数字化控制。更多还原

【Abstract】 With the development of high performance permanent–magnet material ,electric power and electron technique,lardge scale integerated circuit and computer technique. Many scholars and researchers of home and oversea have attached importance to PMSM because of its small volume, high power density, high efficiency and power factor. In conventional motion control systems, there are many limitations by using sensors to measure the position of rotor., in this background , sensorless operation becomes very signification in the control study of PMSM. This paper focus on the vector control for PMSM,sensorless technology and sliding mode control theory, the simulation mode for PMSM is set up using Matlab/Simulink.The main content of the study as follows:The mathematic models of PMSM in several coordinates were set up. Based on the vector theory, the control system of PMSM is discussed. It was separated By transforming coordinate, both speed loop and current loop are set up.The theory of sliding mode observer is analyzed in detail. The nonlinear equations of motor driver are linearity usingαβreference frame. Real-time online estimations of motor rotor position and speed, it is sufficient that the terminal voltage and phase current of motor are known according to the motor driver. The simulation in the environment of Matlab/Simulink shows that this method is possible to estimate the rotor position. To solve the problem that it is not very perfect to estimate e.m.f with low-pass filter, the arithmetic is modified. It is innovative to put the output of low-pass filter behind the e.m.f observer which has the structure of Extended Kalman Filter. By simulating it shows that e.m.f observer filtrate much better and has good robustness.Based on the simulation, this paper introduced the hardware realization and software realization, designed the digital controlling platform of vector control based onTMS20LF2407 and Intelligent Power Model, and realized the experiment of the sensorless PMSM Vector Control System.更多还原