Improving Dynamic Performance of a Five-Phase Induction Motors Drive Based on Speed Sensor-Less

Abstract

Recently, multiphase motor drives are fostered to exchange three-phase drives in high power applications. Among the various advantages of multiphase induction motor drives, operation and self-starting under some phases open is considerd the most vital feature of such drives. With some phases open, optimal current control is used to produce disturbance-free operation with some objective functions and with some operational constraints.Therefore, studying the electrical drives behaviour throughout a different operational condition is that the key to confirm system fidelity. This study introduces a sensorless operation by estimating motor speed exploitation wiener filter estimator. The projected estimator uses a first order model for the five phase induction motor this reduces the computational process time. The Discrete Fourier Transform( DFT) and also the Inverse Discrete Fourier Transform (IDFT) are used to convert from time domain to frequency domain and back words. The system under study compromises of a five phase induction motor (IM), a hysteresis current controller (HCC), an Indirect Field Oriented Control(IFOC), a PI speed controller and also the projected speed estimator connected with model parameter calculator. completely different operational conditions are distributed to analyze the estimator fidelity. The simulation study is performed exploitation MATLAB / SIMULINK platform. The simulations results show a promising performance of the projected speed estimator.