A novel speed estimation approach with control system based on model reference adaptive control (MRAC) is presented for low cost brushless dc motor drives with low-resolution hall sensors. The back EMF is usually used to estimate speed. But the estimation result is not accurate enough at low speeds because of the divided voltage of stator resistors and too small back EMF. Moreover, the stator r...

The paper presents simulation results of hybrid fuzzy logic with proportional plus conventional integral-derivative controller for the speed control of permanent magnet brushless dc (PMBLDC) motor. Although conventional PID controllers are widely used in the industry due to its simple control structure and ease of implementation, these controllers pose difficulties under the conditions of nonli...

today, dc motors is still being used globally due to their easy speed controllability. in this article, an adaptive neuro-fuzzy inference system (anfis) controller is designed for dc motors. the main purpose of performing such task is to reduce the dc motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...

Due to their better electrical properties and mechanical features, the usage of BLDC motors is increasing they have replaced conventional DC asynchronous in many applications. This project provides a sensor-based permanent magnet brushless motor for commercial electric vehicles. To improve reliability speed regulation, PID controller employed. The three-phase voltage inverter delivers constant ...

This paper uses a new position sensor less drive for brushless DC (BLDC) motors. In conventional sensor less control methods such as the back-EMF detection method, the performance is high only at a high speed range due to the fact that the magnitude of the back-EMF is dependent on the rotor speed. A solution is derived that estimates the rotor position by using an unknown input observer over a ...

The paper gives design methods dedicated to speed control of Direct Current (DC) and Brushless Direct Current (BLDC) motors in the framework of servo systems. Two design approaches are offered for position and speed control of servo systems with inner current control loops. The PI and PID controllers in these approaches are tuned on the basis the Extended Symmetrical Optimum method and of the d...

Recent developments in brushless dc motors and their drives have provided the technology to build electromechanically actuated primary controls. As a result, they have been proposed for ground, aerospace and (recently) marine applications. In this paper, previous architectures in an all-electric aircraft actuation control surface system will be proposed for an all-electric marine system. To ove...

In this article, performance of 70 W, 350 rpm, axial-field and radial-field permanent magnet brushless dc motors is compared using computer aided design sCADd and finite element sFEd methods. The design variables like number of poles, slots per pole per phase, airgap length, airgap flux density, slot electric loading, stator flux density, and the permanent magnet material are changed one at a t...

Brushless DC Motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PI controller to control the speed of BLDC motor. This paper provides an overview of different tuning methods of PID Controller applied to control the speed of the transfer function model of the BLDC motor drive and the...

Vector control is becoming the industrial standard for induction motor control. The vector control technique decouples the two components of stator current space vector: one providing the control of flux and the other providing the control of torque. The two components are defined in the synchronously rotating reference frame. With the help of this control technique the induction motor can repl...