Some research about sensorless control of induction motors in recent years has been introduced in chapter one . in chapter two , a field - oriented control system with current regulator and voltage source inverter ( vsi ) is presented firstly , which is proved in theory that the voltage feed - forward decoupler can be omitted , the good decoupled control properties of flux current and torque current is also validated by experiments with speed - sensor based on f240dsp real system 论文第二章从异步电机的基本数学模型入手，介绍了一种基于转子磁场定向的带电流内环控制的电压型逆变器输出闭环矢量控制结构，在理论上证明了该模型可省略电压前馈解耦环节，采用f240dsp芯片构建的带速度传感器实验系统验证了其定子电流励磁分量和转矩分量有良好的解耦控制特性。
So in chapter two with - speed - senor field - oriented control system was introduced in details , include both the matlab simulation system and the real system based on tms320f240dsp . the focus of this dissertation is in chapter three - application of ekf estimator in speed - sonserless vector control system of im 因此，本文第二章从带速度传感器的磁场定向矢量控制系统入手，介绍了磁场定向矢量控制的原理，带速度传感器矢量控制系统的仿真系统以及采用f240dsp芯片实现的实际系统。
The precision and convergence of both rotor speed and flux estimation with ekf largely depend on the accuracy of the models of system noise and measurement noise . a global optimized noise covariance estimation method based on genetic algorithms ( ga ) is applied to ekf in foc system , a ga training simulation system of optimal parameters of ekf is given and the simulation results proves the effectiveness and robust of this algorithms 本文用遗传算法( ga )对全闭环矢量控制系统中的ekf噪音模型进行离线优化辩识，仿真结果表明， ga寻优到的噪音模型使采用卡尔曼滤波器的无速度传感器矢量控制系统获得了与带速度传感器矢量控制系统相类似的动态性能，全系统对消息噪音和测量噪音有好的鲁棒性。
