Electromagnetic Damper Using Brushless DC Motor With Capacitance

SUMMARYA multidimensional positioning mechanism, along with high speed and high accuracy, is essential for an industrial machine. A positioning machine operates precisely in both vertical linear motion (z‐axis) and rotary motion (θ‐axis). A ball screw mechanism is used for thez‐axis whereas a servo motor is used for the θ‐axis. We developed a direct drive θ‐z motor for rotary and linear motion. Torque and thrust are generated directly by the mover. Thus, high speed and high accuracy as well as miniaturization are achieved without using machine elements such as a ball screw and belt. In this paper, we describe the structure and operating principle of the θ‐Z motor, and the sensor that can detect the θ‐axis and thez‐axis position. In addition, we consider a design method that minimizes copper loss by taking advantage of the shape of the permanent magnet and coil. Furthermore, using a prototype we evaluated the characteristics of torque, thrust, and repeatability.

–This paper designs the high-efficiency and the low-cost drive system of the small-size electric vehicles (EVs). The power circuit for driving the dc motor is designed by considering both the cost and efficiency. In order to reduce the conduction loss of MOTFET and diode for controlling an armature voltage, some MOSFETs and diodes at the armature are in parallel connection. An operating sequence for both the field current and the armature voltage according to the accelerator pedal angle is suggested for changing smoothly the rotating direction of dc motor. Through the simulation studies, the performances of the proposed methods are verified. Keywords: Electric vehicle, conduction loss, buck converter, switching loss, DC motor 1. Introduction Recently, because environmental pollution and the energy crisis are rising globally, electric vehicles (EVs) are promising instead of traditional gasoline vehicles. As the EVs are driven by electricity stored in a battery, they still suffer from the main problem as short driving range due to the low energy content of the batteries. As how to use the battery’s energy efficiently is a hot issue for developing EVs, it is important to design the drive system of a traction motor with high efficiency. Selection of traction motors for propulsion system is very important step that requires special attention. In fact, the choice of electric-propulsion systems for EVs mostly depends on three factors: efficiency, cost, and reliability. In an industrial point of view, the major types of electric motors adapted or under serious consideration for EVs include the dc motor, an induction motor (IM), and brushless DC (BLDC) motor. The BLDC motor has been widely used in the EVs, because it provides high power density, and has higher efficiency than induction motor [1]-[3]. By the way, in order to drive the BLDC motor, the 3-phase PWM inverter and complex control system are required [4]. Recently, the price of PM has been dramatically raised. They cause the increase of the manufacturing cost of the EVs. The small-size EVs such as the golf car and scooters require the simple propulsion system in order to reduce the manufacturing cost. Although a brushed dc motor has some problems such as requirement of maintaining both the brush and commutation, it has some advantages like a simple drive system and high starting torque. Thus, the dc motor as the traction motor is more suitable at the low cost small-size EVs [5]. In this paper, the power circuit for driving the dc motors is designed by considering both the cost and efficiency. In order to reduce the conduction loss of MOTFET and diode for controlling an armature voltage, some MOSFETs and diodes at the armature are in parallel connection. An algorithm to change smoothly the rotating direction of the motor is suggested. In order to verify the performances of proposed methods, some simulation studies are carried out.

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.

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.

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 project presents the design and development of a Battery and Super-capacitor Fed Brushless DC (BLDC) Motor Drive System tailored for Electric Vehicle (EV) applications. The objective is to enhance the efficiency, dynamic performance, and reliability of EV powertrains by integrating a hybrid energy storage system comprising a battery and a super-capacitor. In this setup, the battery serves as the primary energy source, providing steady power during normal driving conditions, while the super-capacitor assists in handling transient load demands, such as rapid acceleration or hill climbing, and also absorbs energy during regenerative braking. This hybrid approach reduces stress on the battery, extends its lifespan, and improves overall system responsiveness. To further enhance energy utilization, the system can be integrated with a solar photovoltaic (PV) source, regulated using a Maximum Power Point Tracking (MPPT) algorithm. The MPPT controller ensures that the PV panel operates at its optimal power point under varying solar irradiance conditions, contributing to battery charging and reducing dependency on grid power. Keywords—Brush Less DC Motor, Super-capacitor, Motor Drive System, Hybrid Energy Storage System, Battery, Maximum Power Point Tracking, Photo Voltaic Cell.

A key component of industrial applications is the DC motor. Hence, due to their superior features and performance, Brushless DC (BLDC) motors are more suitable for fractional kilowatt motor’s applications. Albeit, for the purpose of controlling the speed of Brushless DC motor easily, it is quite difficult for obtaining the best controlling performance through the use of the conventional approaches of tuning. In order to search the Proportional – Integral - Derivative (PID) tuning parameters optimally for the different controllers taken into consideration, the use of modern bio-inspired metaheuristic technique called Ant Colony Optimization (ACO) algorithm is employed. This paper particularly discusses and presents on the tunning parameters of . The performance of traditional controller and novel approach is compared, analyzed and presented. Brushless DC motor is buildup in MATLAB and the usage, importance, efficiency and strength of the proposed approach is validated against traditional tunning methods. The obtained result shows better performance of the proposed system with the aid of the proposed controllers for different speed trajectories of the drive when compared with that of the classical Proportional – Integral - Derivative (PID) controllers. Ant Colony Optimization (ACO) seems to be the one of the most effective tuning techniques of Proportional – Integral - Derivative (PID) controllers. This research has significant impact on modern control applications. Received: 9 June 2023 | Revised: 20 September 2023 | Accepted: 10 October 2023 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data available on request from the corresponding author upon reasonable request.

This paper presents the design and control of a rail guided mover system using a brushless dc (BLDC) motor as traction. In the designed system, the roller on the rail surface is driven by the BLDC motor, and the high-definition camera moves up and down driven by a dc motor. In order to keep the reference position in the low-speed region around the stop position, a modified microstepping method using torque angle is proposed. The proposed microstepping method uses the variable current magnitude according to the estimated torque angle in order to reduce the torque ripple. Then, the actual rotor follows the rotating current vector with the proper torque angle band. Moreover, a smooth deceleration is achieved by a variable gain of the position controller, which is obtained by the deceleration time and position error. Furthermore, the slip effect between the roller and the rail surface is simply compensated by the measured slip coefficient in both forward and backward directions. The proposed position control method is verified by the experiments of the practical rail moving security system.

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

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.

This study details the design and testing of a custom test rig for evaluating the performance of both open and shrouded rotors. The rig includes a two-axis load cell that is directly connected to the rotor to measure the rotor thrust separated from the total thrust when testing shrouded rotors and ensure accurate torque measurements, independent of external structural influences. Moreover, a main load cell is used to measure the total thrust for both configurations (open and shrouded rotor), as it is connected to the entire setup. Rotor RPM is monitored by capturing the voltage frequency from the BLDC motor, controlled using a Pololu Maestro Controller through the electronic speed controller. A shunt resistance is used to calculate the current through the electric Brushless Direct Current (BLDC) motor and by measuring the voltage, the electric power is calculated. By combining both mechanical and electrical power measurements, the BLDC motor’s efficiency is calculated. Automated data collection is conducted using National Instruments DAQ systems, with averaged measurements of thrust, torque, RPM, current, and voltage. Two rotors are tested to obtain performance data for both open and shrouded configurations. Additionally, a computational study is carried out to account for the aerodynamic effects of the rig’s structural elements. Uncertainty analysis is employed to assess the reliability of the experimental results by quantifying the numerical errors associated with both random and systematic errors encountered during the rotor’s performance evaluation.

To precisely control the speed of BLDC motors at high speed and with very good performance, an accurate motor model is required. As a result, the controller design can play an important role in the effectiveness of the system. The classic controllers such as PID are widely used in the BLDC motor controllers, but they are not appropriate due to non-linear model of the BLDC motor. To enhance the performance and speed of response, many studies were taken to improve the adjusting methods of PID controller gains by using fuzzy logic. Use of fuzzy logic considering approximately interpretation of the observations and determination of the approximate commands, provides a good platform for designing intelligent robust controller. Nowadays type-2 fuzzy logic is used because of more ability to model and reduce uncertainty effects in rule-based fuzzy systems. In this paper, an interval type-2 fuzzy logic-based proportional-integral-derivative controller (IT2FLPIDC) is proposed for speed control of brushless DC (BLDC) motor. The proposed controller performance is compared with the conventional PID and type-1 fuzzy logic-based PID controllers, respectively in MATLAB/Simulink environment. Simulation results show the superior IT2FLPIDC performance than two other ones.

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.

The goal of this research is to develop an environmentally friendly, efficient, two-wheeled electric vehicle that can reduce carbon emissions. The Brushless DC (BLDC) motor was chosen as the main drive due to its high efficiency, minimal maintenance, and optimal performance for lightweight vehicles. A key challenge in this study was determining the appropriate motor power and torque to allow the vehicle to operate with a total load of 130 kg on both flat roads and inclines. The research method uses a quantitative approach, starting with an analysis of vehicle dynamics. The calculations include rolling resistance, aerodynamic drag, grade force, acceleration force, wheel torque, and wheel power. These calculations were then used to determine the suitable BLDC motor specifications. Testing was conducted both statically and dynamically on flat roads, inclines, and through endurance trials with a 130 kg load. The results show that a BM1418ZXF BLDC motor with 1000 Watts of power and a nominal torque of 3.5 Nm can optimally drive the vehicle with a total load of 130 kg. Although the research methodology included formulas for gear ratio analysis, the motor was selected based on direct power requirements without applying a transmission system calculation, which led to higher procurement costs. The vehicle dynamics analysis method has proven effective in designing the BLDC motor drive system. However, the study would be more complete if it included a transmission system analysis to improve cost efficiency and overall performance.