Acoustic Noise of Induction Motor With Low-Frequency Model Predictive Control

Ling Feng,Wensheng Song,Huiqiang Yang

doi:10.1109/access.2020.3026070

Ling Feng, Wensheng Song + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.3026070

Copy DOI

Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 23	License type: CC BY 4.0

Affiliation: Southwest Jiaotong University

Abstract

This paper studies the acoustic noise of induction motor with low switching frequency model predictive control and compares its noise performance with the traditional pulse width modulation with proportional-integral controllers. First, the relationship among the air-gap magnetic field, the electromagnetic force, and the acoustic noise is modeled to describe the influence of control algorithm on the noise characteristics of motors. As the counterpart with the traditional pulse width modulation control, a finite control set model predictive control strategy with low switching frequency is proposed. The steady-state performance and switching frequency constraint ability of the proposed model predictive control strategy are verified on the experimental platform. Second, the noise spectrums of these two control strategies are sampled and compared in different operating conditions, and the influence of the weighting factor on the noise spectrum is also discussed. It is proved by the experimental results that model predictive control has better noise performance than the traditional sinusoidal pulse width modulation under the same switching frequency and the total harmonic distortion of stator current.

Highlights

The acoustic noise heard by human ears or captured by the acoustic detection device is one of the key aspects to evaluate the performance of a motor control system [1]
ACOUSTIC NOISE ANALYSIS WITH PULSE WIDTH MODULATION AND model predictive control (MPC) To obtain the noise spectrum under different control strategies, both PI-SPWM and MPC control strategies are implemented on the experimental platform under different speeds and switching frequencies
It can be concluded that MPC has better noise performance than the traditional pulse width modulation (PWM) control which can be reflected in the following aspects

Summary

INTRODUCTION

The acoustic noise heard by human ears or captured by the acoustic detection device is one of the key aspects to evaluate the performance of a motor control system [1]. It is easy to contain nonlinear constraints, such as low switching frequency constraint, low loss constraint, and so on [25], [26] In addition to these advantages, FCS-MPC has the inherent characteristic of the scattered current spectrum, which is beneficial to noise control [27]. To study the noise characteristics of low switching frequency traction system, the relationship among air gap magnetic field, electromagnetic force, and acoustic noise is established by mathematical model. Through the comparative study of the two strategies, it can be concluded that MPC has better noise performance than the traditional sinusoidal pulse width modulation control. It can provide a better solution for the noise suppression of traction system. Z1 and Z2 are the slot number of stator and rotor. k1 and k2 are the amplitude of stator and rotor slot permeance

ACOUSTIC NOISE SOURCE

NOISE ASSOCIATED WITH INVERTER POWER SUPPLY

ACOUSTIC NOISE ANALYSIS WITH PULSE WIDTH MODULATION AND MPC

INFLUENCE OF THE WEIGHTING FACTOR ON NOISE SPECTRUM

Findings

CONCLUSION