近几年来，速度估计算法成为感应电机控制方法研究的热门课题。其中，扩展的

近几年来，速度估计算法成为感应电机控制方法研究的热门课题。其中，扩展的卡尔曼滤波器（EKF）被认为是速度估算的最好方法。由于DSP处理器性能的大幅提升，EKF计算量大的问题得到很好解决，EKF越来越多的被用于工业应用。但是，EKF观测器通常用试错法来对噪声矩阵进行试验调整，造成EKF观测器并不能表现出最好的传动性能。为了提高EKF观测器的性能，使用遗传算法（GA）来优化噪声矩阵。在感应电机直接转矩控制（DTC）的Simulink仿真中，使用实数编码GA优化的EKF来估算电机速度。结果表明，该方法有很好的速度估算效果，对其他电机的闭环控制也有较大的借鉴意义和实用价值。

結果 (英文) 1:

In recent years, the speed estimation of induction motor control method in hot topic. Among them, the extended Kalman filter (EKF) is considered to be the speed the best way to estimate. Because the DSP processor performance boost, EKF calculation problem is solved, EKF increasingly being used in industrial applications. However, the EKF observers usually use trial and error to test the noise matrix adjustment caused EKF observer and cannot show the best performance. In order to improve the performance of EKF observer, using genetic algorithm (GA) to optimize the noise matrix. Induction motor direct torque control (DTC) Simulink simulation, optimization using real-coded GA EKF to estimate the speed of motor. Results show that this method has a good effect of speed estimation, closed-loop control to other motor also has great significance and practical value.

結果 (英文) 2:

In recent years, induction motor speed estimation algorithm become a hot topic of Control Methods. Among them, the extended Kalman filter (EKF) is considered to be the best way to speed estimation. Due to significantly enhance the performance of DSP processors, EKF large computation problem has been solved, EKF are increasingly being used in industrial applications. However, EKF observer usually trial and error to adjust the test noise matrix, causing EKF observer does not exhibit the best transmission performance. In order to improve the performance of EKF observer to optimize the use of genetic algorithms (GA) noise matrix. Induction Motor Direct Torque Control (DTC) of Simulink simulation to estimate the speed of the motor using real-coded GA optimization EKF. The results show that this method has a good estimate of the effect of speed, closed-loop control of the motor also have other great reference significance and practical value.

結果 (英文) 3:

In recent years, the speed estimation algorithm has become a hot topic in the research of the control method of induction motors. Among them, the extended Calman filter (EKF) is considered to be the best method for velocity estimation. Due to the significant improvement in the performance of DSP processor, the problem of large amount of EKF computation is solved, and more and more EKF are used in industrial applications. However, the EKF observer usually use the method of trial and error to the noise matrix of test and adjustment, caused by EKF observer does not represent the best transmission performance. In order to improve the performance of the EKF observer, genetic algorithm (GA) is used to optimize the noise matrix. In the induction motor direct torque control (DTC) of the Simulink simulation, using the real number of encoding GA optimization of the EKF to estimate the motor speed. The results show that the proposed method has a good effect on the speed estimation, and it has great significance and practical value for the closed loop control of other motors.