Estimating Three-phase Induction Motor Parameters Using Single-phase Current and the Harris Hawk’s Optimization Algorithm

Abstract

In this paper, to estimate the parameters of a three-phase induction motor, the current measured in one phase and Harris Hawk’s optimization algorithm (HHO) as well as the recently introduced improved technique of this algorithm (IHHO) are used. This method includes estimating the electrical equivalent circuit parameters of a three-phase induction motor, including rotor and stator resistance, leakage inductance, magnetizing inductance, as well as mechanical parameters including the moment of inertia and friction coefficient. As three-phase induction motors are widely used in various industries, it is necessary to identify their parameters to implement adjustable speed control systems for such motors. Therefore, it is necessary to develop appropriate algorithms to accurately estimate the induction motor parameters. The main inspiration of the proposed method is the behavior of the Harris hawk group in nature. The objective function is defined as the calculation of the least mean squares of the error resulting from the numerical simulation of the dynamic equations of the motor and the measured value of the current of one motor`s phase. The proposed method is applied to the dynamic model of a specific motor and the results of the proposed method are compared with other previously published methods. The obtained results demonstrate the remarkable capability of the proposed method and its rapid convergence.

Keywords

• harris hawk’s algorithm
• parameter estimation
• induction motor
• dynamic model
• least mean squares of the error