Energy‐efficient sensorless load angle control of a BLDC motor using sinusoidal currents

Abstract

Nowadays, most brushless DC (BLDC) motors use Hall sensors or sensorless algorithms based on backelectromotive force (back-EMF) sensing to detect rotor position information. These methods detect the commutation moments but imply the use of rectangular stator currents which, according to recent literature, limits the energy efficiency. In this study, sinusoidal stator currents are used to increase the motor energy efficiency. As a consequence, standard control based on the feedback of the Hall sensors or based on sensorless techniques detecting the back-EMF zero-crossing cannot be used. Therefore, the authors propose a load angle control algorithm for BLDC motors without using position and speed sensors. The objective is to obtain energy-efficient sensorless control for the BLDC motor based on the measurement of only two current and one voltage signal. The energy saving potential of the proposed method is especially outspoken for fixed speed applications with varying loads, which are typical BLDC applications. Experimental results are presented to validate the proposed method. Energy efficiency measurements over the whole operating range of the BLDC motor are included and show an energy saving potential up to 9.5%.

Online Impedance Estimation For Sensorless BLDC Motor Motion Applications

“…As a result, es leads the Ψr by π/2. Therefore, the load angle can be redefined as: δ = π/2 -(phase angle of es -phase angle of is) (5) In the previous equation, the location of the current and the back-EMF vectors is and es are unknown. Because the phase current can be easily measured, the problem of estimating the load angle is reduced to a problem of estimating the position of the back-EMF.…”

Leveraging Domain Knowledge for the Efficient Design-Space Exploration of Advanced Cyber-Physical Systems

“…In this paper, we consider the deployment of an advanced, energy efficient load angle control system for a brushless DC motor, based on the algorithm proposed by De Viaene et al [16]. A general overview of this system is given in Subsection III-A, while the design space considered in this paper is defined in Subsection III-B.…”

“…The estimation and load angle control method proposed by De Viaene et al [16] differs from conventional cascade control as the speed and current controller are strictly separated. The speed is purely imposed in open loop by the rotating current vector while the closed-loop load angle controller handles the torque transients by adapting the current amplitude.…”

Feature Ranking and Differential Evolution for Feature Selection in Brushless DC Motor Fault Diagnosis

“…As time passes by, and with more research and development invested in EVs, such as sensitivity analysis of a rolling stock hydrogen hybrid powertrain [6], and a battery thermal management system [4,5], the work in this article constructed a system to identify the BLDC fault types. In order to detect the operation status of the BLDC, Hall sensors or sensorless algorithms based on back electromotive force are commonly used [7]. The three Hall sensors are installed into the BLDC motor with 120-degree phase differ-ences, so the Hall signals are 120 electrical degree phase differences in normal.…”