A sensorless speed estimation method for performing the indirect field-oriented control (IFOC) of induction motors (IMs) is presented in the current research. The method uses the stator voltage as state variable but eliminates the voltage transducers. Traditional MRAS methods use two sets of equations to estimate the motor speed. However, the proposed system utilizes the q-axis current regulator proportional–integral (PI) control output $$ \left( {V_{\text{sq}}^{*} } \right) $$ V sq ∗ in the reference model as a new Model Reference Adaptive System (MRAS) technique and compares this value with the estimated voltage $$ \left( {\hat{V}_{\text{sq}} } \right) $$ V ^ sq in an adaptive model. The method calculates the steady-state q-axis stator voltage in adaptive model, so, the calculation burden in the estimation loop is significantly reduced. Choosing the q-axis stator voltage as state variable removes requirement of the rotor parameters in calculations, and therefore, the system becomes resistant to the alteration in rotor parameters. Furthermore, the mentioned special calculation ensures the elimination of the need for flux estimation, so the speed estimation technique becomes resistant to integral and derivative calculation-based problems. The MATLAB/Simulink simulation results and experiments under various operation conditions verifies the effectiveness of the studied technique.

中文翻译：

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一种新的基于定子电压误差的 MRAS 模型，用于在不使用电压传感器的情况下估计磁场定向控制的感应电机速度

当前的研究中提出了一种用于执行感应电机 (IM) 的间接磁场定向控制 (IFOC) 的无传感器速度估计方法。该方法使用定子电压作为状态变量，但消除了电压传感器。传统的 MRAS 方法使用两组方程来估计电机速度。然而，所提出的系统利用参考文献中的 q 轴电流调节器比例积分 (PI) 控制输出 $$ \left( {V_{\text{sq}}^{*} } \right) $$ V sq ∗模型作为一种新的模型参考自适应系统 (MRAS) 技术，并将该值与估计电压 $$ \left( {\hat{V}_{\text{sq}} } \right) $$ V ^ sq 进行比较自适应模型。该方法在自适应模型中计算稳态q轴定子电压，因此显着减少了估计循环中的计算负担。选择q轴定子电压作为状态变量消除了计算中对转子参数的要求，因此系统对转子参数的改变具有抵抗力。此外，提到的特殊计算确保消除对通量估计的需要，因此速度估计技术变得对基于积分和导数计算的问题具有抵抗力。MATLAB/Simulink 仿真结果和各种操作条件下的实验验证了所研究技术的有效性。因此速度估计技术对基于积分和导数计算的问题具有抵抗力。MATLAB/Simulink 仿真结果和各种操作条件下的实验验证了所研究技术的有效性。因此速度估计技术对基于积分和导数计算的问题具有抵抗力。MATLAB/Simulink 仿真结果和各种操作条件下的实验验证了所研究技术的有效性。