하이브리드 차량의 엔진 및 배터리 냉각팬 구동용 BLDC모터 개발

This paper focus on a novel operation of a brushless dc (BLDC) motor fed by a proportional integral (PI) controlled buck--boost converter supplemented with a battery to provide the required power to drive the BLDC motor. The operational characteristics of the proposed BLDC motor drive system for constant as well as step changes in dc link voltage of a front end converter controlled by a Xilinx System Generator (XSG) based PI controller for two quadrant operations are derived. Thus a field programmable gate array (FPGA) based PI controller manages the energy flow through the battery and the front end converter. Moreover, speed to voltage conversion logic, made to control the BLDC motor through the PI controller, improves the performance and gives optimum control under the unstable driving situation or varying load condition when the complete system becomes a subject of application to electric vehicles (EVs) and hybrid electric vehicles (HEVs). The dual closed loop control implemented for end to end speed control of the proposed drive system facilitates the system with high accuracy integrated with excellent dynamic and steady state performance. In this paper, the proposed controller was designed for a 5 kW/480 V BLDC motor drive system. The feasibility of the proposed dual loop control topology for the BLDC motor drive system is validated and verified with extensive dynamic simulation in MATLAB/SIMULINK and XSG environment.

Electric vehicles are currently being developed with the concept of saving energy and environmentally responsible. Electric vehicles use electric motors as the main driving motor. The electric motor which is currently increasingly used is the Brushless Direct Current (BLDC) motor. The BLDC motor controller is more expensive than the price of the BLDC motor itself. The BLDC motor controller has a working temperature range when working. The purpose of this study was to analyze the effect of variations in load values and the speed of electric vehicles on the temperature of the BLDC motor controller. This research was conducted by the experimental method by giving a treatment, then evaluating the effect caused on an object of research. The results showed that there was an influence of load value variations on the BLDC motor controller temperature. Values that look significant are at speeds of 0.5 m/sec and 2.5 m/sec starting from 3 kg to 5 kg. There is no influence on the variation of speed values on the temperature of the BLDC motor controller. The temperature value is stable at 2 kg and 3 kg loads with speed variations from 0.5 m/sec to 2.5 m/sec. Simultaneously variations in load and speed values affect the temperature of the BLDC motor controller by 57.7% with the lowest temperature value at 0.5 m/s and a load of 1 kg with a temperature of 33.34℃ and the highest temperature value at a speed of 2.5 m/sec and a load of 5 kg with a temperature of 37.58℃. Keywords: Electric vehicles, controllers, BLDC motors, temperature.

Brushless Direct Current (BLDC) motor is superior to carbon brushed DC motors, such as high efficiency, more speed range, less maintenance, longer life etc. This is because BLDC motor has electronic commutation and thus, does not have to overcome friction unlike the brushed DC motor. Thus, they find application in many areas such as Electric Vehicles and Robotics. However, a disadvantage of BLDC motor is that it requires a controller for electronic commutation which can be expensive and also increases the complexity of the implementation. The BLDC motors which are controlled by classical controllers suffer from problems of parametric variation during commutation and torque ripple in the output. The project aims to design a Robust controller for BLDC motor speed control so as to improve the output of BLDC motor.

Brushless Direct Current (BLDC) Motor is an electromagnetic device that converts electrical energy into mechanical energy. BLDC motor is a type of motor used in electric cars and does not need brush for magnetic field replacement (commutation), but is carried out electronically commutated. In BLDC motor, temperature in the motor play important role on motor performance such as maximum power and efficiency. In this research the development of liquid cooling of BLDC motor is described. Development starts from the design, computation using software and the realization of the motor design results. The construction of a brushless DC motor is very similar to that of an ac motor, known as permanent magnet synchronous motor. The stator consisting of a core and copper windings forming a core and armature unit. There are 2 identical stators to form the BLDC.

High speed permanent magnet (PM) brushless dc (BLDC) motors have increasingly been used in a wide range of commercial and industrial applications, while low rotor loss and reliable rotor dynamic feature of the motor are essential requirements. Due to the high power densities, the high speed PM BLDC motors' unit volume losses are high, and also it is difficult to disperse heat, thus, the rotor losses are no longer negligible compared to the conventional-speed machines and must be considered in the design process. Besides, the rotors of high speed PM BLDC motors are subject to the resonance vibration, limiting the maximum operation speed. This paper describes the design and analysis of a high speed PM BLDC motor with surface mounted magnets for a rated power of 10kW at 70,000 rpm. Influences of the stator and rotor structures as well as magnet materials on the motor's electromagnetic performance and rotor dynamic property are analyzed. Both analytical and FEA methods are adopted to calculate the motor losses and rotor resonance modals with different motor configurations.

A new method for optimizing the fuzzy PID controller, based on an artificial electric field algorithm (AEFA), is proposed in this paper, aiming at improving the stability indicator of the Brushless DC (BLDC) motor for the small satellite attitude control flywheel. The BLDC motor is the basic part of the small satellite attitude control flywheel. In order to accurately control the attitude of the small satellite, a good motor control system is very important. Firstly, the mathematical model of the BLDC motor is established and the BLDC motor speed control system using traditional PID control is designed. Secondly, considering that the small satellite speed control system is a nonlinear system, a fuzzy PID control is designed to solve the shortcomings of the fixed parameters of the traditional PID control. Finally, we find that the control accuracy of the fuzzy PID control will change with the range of the input. Therefore, we introduce the AEFA to optimize fuzzy PID to achieve high-precision attitude control of small satellites. By simulating the BLDC motor system, the proposed fuzzy PID controller based on AEFA is compared with the traditional PID controller and the fuzzy PID controller. Results from different controllers show that the proposed control method could effectively reduce steady state error. In addition, the proposed fuzzy PID–AEFA controller has the better anti-jamming capability.

Brushless direct current (BLDC) motors are frequently used in dynamic applications. A Brushless DC Motor is similar to a Brushed DC Motor, except that as the names indicate, they are electronically commutated rather than using brushes for commutation. Brushes are utilized in conventional brushed direct current motors to transmit power to the rotor while they rotate in a fixed magnetic field. Small Brushless DC Motors have flourished as a result of current power electronics and microprocessor technology, both in terms of price and performance. This paper will discuss the history of BLDC motors, their different types, construction, operating principles, and several control mechanisms for driving BLDC motors in various industrial applications. Keywords: BLDC Motor, Pulse Width Modulation (PWM), Hall Effect Sensors, Sensorless control, Rotor, Stator, Back Emf, Trapezoidal Control, Sinusoidal Control, Field Oriented Control

This paper presents a single-stage isolated power factor corrected power supply (SSIPP) fed permanent magnet brushless DC (BLDC) motor drive. An advantage of fast voltage regulation with single voltage control loop of SSIPP is utilised to develop a power factor correction (PFC) based BLDC motor drive. The speed of BLDC motor is controlled by varying the DC link voltage of the voltage source inverter (VSI) feeding BLDC motor using a single voltage sensor. A boost-flyback SSIPP operating in discontinuous inductor current mode (DICM) is used for the voltage control with improved power quality at AC mains. A fundamental frequency switching of VSI is used instead of pulse width modulation (PWM) switching to avoid high frequency switching losses in it. The performance of the proposed BLDC motor drive is evaluated for wide range of speed control with power quality indices with-in the recommended limits of international power quality standards such as IEC 61000-3-2.

This paper presents the modeling and controlling of a fuzzy logic controller (FLC) for achieving improved dynamic performance of the Brushless DC (BLDC) motor drive. The performance of fuzzy and the PI controller based BLDC motor drives is investigated under the different operating conditions such as change in reference speed, parameter variations and the load disturbance. BLDC motors are used in industrial control, automation and instrumentation system applications. Based on other applications the conventional controllers like P, PI and PID controllers are used in the BLDC motor drive control systems to achieve the desired level of transient and steady state responses. However, the major problem in the conventional PI controller there is some variations in the parameter and some load disturbances are occur and do not yield the better transient and the steady state responses under the operating conditions. In this paper, the modeling and controlling of fuzzy logic controller is presented its performance and it compared with the PI controller shows the error capability and usefulness of the fuzzy controller in the control applications.

Brushless DC (BLDC) motors are used extensively in the industry for a wide variety of applications. In the Aerospace industry, they are mainly used in the control actuation system in launch vehicles. Different types of faults can develop in a BLDC motor. It is essential to detect these faults in the early stage itself before they develop into system failures. In this paper, fault detection in BLDC motors using parameter estimation technique is presented. Detailed fault diagnosis is subsequently carried out by a fuzzy inference system. Discrete Square Root Filtering in Covariance form (DSFC) algorithm is used initially for estimating the physical parameters of the BLDC motor. These parameters are then passed on to the fuzzy inference system which carries out the detailed diagnosis. Simulation studies carried out indicates that the developed fault detection and isolation scheme is capable of isolating different types of faults like open circuit, short circuit faults, performance degradation of magnets etc. in BLDC motors.

Brushless DC motor drives supplied by PV power system based on Z-source inverter and FL-IC MPPT controller

DC motors are simple choice for drive systems having very easy speed control techniques. DC motors are used where DC supply is available. Commutation in the conventional DC motors is carried out by commutator which is rotating part placed on the rotor and brushes. Due to these mechanical parts, conventional DC motor consist high amount of losses. Brushless DC (BLDC) Motors are very extensively used motors these days because of its advantages over conventional DC motors. Commutation is carried out with the help of solid-state switches in BLDC motor instead of mechanical commutator as in conventional DC motor. This improves the performance of the motor. BLDC motor shows good speed control characteristics especially in low power applications like hard-disk drives, laser printers and many more. BLDC with current control scheme was discussed in this paper. BLDC drive with fixed speed and variable speeds are developed using Matlab/Simulink and results were shown for both fixed and variable speed applications. Basic operation of BLDC motor was explained with open loop and closed loop speed control. Matlab results were shown for BLDC motor with open loop speed control, BLDC motor for fixed speed closed loop control and BLDC motor with variable speed closed loop control.

Analysis of the demagnetized permanent magnets in BLDC motor is presented in this paper. Automotive, aerospace, consumer, medical and industrial applications are the fastest growing markets for Brushless DC (BLDC) Motor. BLDC motor has high efficiency, high power density, and low maintenance cost. Still, due to overloading the motor, lots of faults can occur in stator, rotor, bearings and permanent magnets. In this paper, focus has been given on faults in permanent magnets. Modeling of demagnetized BLDC motor is presented using MATLAB/SIMULINK and AWT (Analytic Wavelet Transform) analysis is also done to find time frequency ridges. Test results show that stator current peak increases as magnets are demagnetized.

This paper represents a fast approach for reduction of torque ripple on brushless DC (BLDC) motor. From a classic motor model, a mathematics component of torque ripple is extracted. To reduce the ripple component, a small modification of PWM and an open-loop control algorithm are made in the inverter of BLDC motor. At last, our paper describes and analyzes the simulation results of this approach by using PSIM. Without any sensors or advanced controllers, this approach can work in most BLDC motor drivers just after software update.

Brushless DC (BLDC) Motor is widely used in home appliance, robot, and vehicle industry due to the merits of high power density, low noise, and simple controllability. A demands for the motor, especially slim-type BLDC motor, is expected to increase continuously since the minimizing trend of the actuators is getting attention from various applications. Because a phase inductance of the slim-type BLDC motor is large, it causes a lagging of current compared with back-electromotive force (EMF) in wide range of speed. As a result, there is a problem that reduces the motor efficiency and increases the phase current. Particularly the problem is more serious in high speed range and heavy load condition. This paper proposed control scheme for high efficiency of slim type BLDC motor which can resolve the problems as mentioned above. To synchronize the phase between the current and back-EMF of BLDC motor, it proposed lead angle control method by using current dynamics characteristic. Also, it represented the accurate calculating method of lead angle by using only the maximum value of phase current and information of DC-link voltage. For the verification of the proposed control scheme, various simulations and experiments are employed. As a result, the efficiency improvement of slim type BLDC motor is confirmed.