【作者】 杜圣峰；

【导师】 纪志成；

【作者基本信息】 江南大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 感应电机由于其可靠性好、结构简单等优点成为工业伺服控制的主要传动装置。但是感应电机同时又是一个多变量、非线性、强耦合的系统,矢量控制较好地解决了感应电机磁链和转矩的解耦,取得了优良的控制性能。但随着运行工况的变化,电机的参数尤其是电气参数的变化严重地影响了矢量控制系统的控制效果,转子电阻的变化破坏了磁链和转矩之间的解耦关系,致使电机的控制变得更加困难。因此在线辨识感应电机的转子电阻对提高感应电机矢量控制系统性能具有重要意义。论文综述并分析了多年来感应电机转子参数辨识的各种控制策略,详细阐述了感应电机动态数学模型的性质,通过坐标变换,给出了在不同坐标系下感应电机的数学模型的表达形式并基于转子磁场定向的旋转坐标系,介绍了矢量控制系统的基本原理,基于Matlab建立了该系统地仿真模型,仿真研究了转子电阻变化对系统性能的影响。在此基础上,开展采用模型参考自适应理论(MRAS)的感应电机转子电阻智能辨识方案的研究。文中分析了传统MRAS存在的问题,采用无功功率模型,结合模糊控制技术,设计了转子电阻模糊模型参考自适应辨识策略;将神经网络和MRAS技术相结合,提出了基于神经网络的MRAS转子电阻智能辨识器。论文对所提辨识器进行了仿真研究,证明了其有效性,并基于FPGA技术,采用SG仿真工具,对转子电阻辨识器的硬件实现进行了初步探讨,为辨识器的工业应用奠定了基础。更多还原

【Abstract】 Induction Motor is one of the most widely used actuator for industrial applications due to its advantages such as reliability,simplicity, low cost and volume manufacturing. However induction motors is a multi-variable, non-linear, highly coupled system. Vector control can solve the induction motor torque and flux of decoupling, and achieved excellent control performance. However, with changes in the operating conditions, the changes of induction motor parameters especially electrical parameters effect the controll effort of vector control system seriously , the changes of rotor resistance undermined the decoupling between flux and torque, which made Motor control more difficult. Therefore online identification of induction motor rotor resistance is of great significance to improve performance of induction motor vector control system.In this paper various control strategies of indution motor rotor parameter identification in the recently years is synthesised and analysised, detailed nature of induction motor dynamic mathematical model, through the coordinate transformation , given out different induction motor mathematical models in different coordinate system. Based on the rotor magnetic field orientation and rotation coordinates, vector control system is introduced and established vector contoll simulition model based on Matlab and do research on effects of the rotor resistance change of system performance.Based on this research, research on intelligent identification of induction motor rotor resistence theories is done based on Model Reference Adaptive theory (MRAS) .This paper analyses the problems of traditional MRAS,with reactive power model, with fuzzy control technology, design rotor resistance identification strategy based on fuzzy model reference adaptive system and rotor resistance MRAS intelligent identifier based on the neural network. In the paper do simulation of the identification strategies in the paper and prove the effectiveness of the strategies, and based on FPGA technology, use SG simulation tool , the identification of the rotor resistance hardware implementation has been discussed and laid the foundation for industrial applications of induction motor rotor resistance.更多还原