An Analytical Mechatronic Model for Series DC Motors Using Manufacturer Test Data

2009 ◽  
Author(s):  
Clark Radcliffe
Keyword(s):  
Analytical Model ◽  
Test Data ◽  
Dc Motor ◽  
Analytical Models ◽  
Model Parameters ◽  
Market Place ◽  
Brushless Dc Motors ◽  
Dc Motors ◽  
Motor Test ◽  
Permanent Magnet Dc Motors

Direct Current (DC) Motors are one of the most common mechatronic actuators. They are important for electromechanical servo systems, drivers for battery powered appliances and tools as well as electric vehicles. Both brushless DC motors and wound DC motors are common in electric and hybrid vehicles. The series wound DC motor is commonly used for high torque vehicle applications. The literature has many papers discussing permanent magnet DC motors but a very limited number of publications on analytical models for series wound DC motors, especially motor models that fit series wound DC motor test data available in the market place. An analytical model for a series wound DC motor is developed here based on physical principles including energy conservation. The model developed will be compared with models developed by other investigators. Available commercial test data for a series motor will be used to find model parameters for the analytical model and the accuracy of this model evaluated against the original test data. The model developed displays excellent accuracy well within the accuracy of the test data available. Typical model rms deviation from test data is under 2% for the commercial series wound DC motors evaluated.

scholarly journals Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation

2018 ◽  
Vol 9 (3) ◽  
pp. 696 ◽  
Author(s):  
Byamakesh Nayak ◽  
Sangeeta Sahu ◽  
Tanmoy Roy Choudhury
Keyword(s):  
Experimental Data ◽  
Transfer Function ◽  
Adaptive Method ◽  
Dc Motor ◽  
Model Parameters ◽  
Current Response ◽  
Adaptive Model ◽  
Unknown Parameters ◽  
Dc Motors ◽  
Estimated Parameters

<p>This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.</p>

Study on Four-Quadrant Operation of Brushless DC Motor Control Method

2013 ◽  
Vol 373-375 ◽  
pp. 1363-1368
Author(s):  
Jian Zhang ◽  
Yuan Jun Zhou ◽  
Jing Zhao
Keyword(s):  
Motor Control ◽  
Control Method ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Dc Motor Control ◽  
Braking Control ◽  
Four Quadrant

Brushless DC motors, which are applied to the human skeleton boosters, require frequent switch of four-quadrant operation states of forward rotation, backward rotation, electro motion and braking control. This switch generally requires to be soft and smooth without overshoot, big impulse or speed mutation. The general performance of the brushless DC motor control system cant meet this requirement. The main purpose of this paper is to solve this problem by adopting bipolar PWM control which makes it possible to realize the motor operating in four-quadrant and improve its characteristics. In addition, the paper proved the correct and efficiency of this method by using simulation .

scholarly journals A REVIEW OF EXPERIMENTAL STUDY AND ANALYSIS OF SPEED CONTROL OF PERMANENT MAGNET AND WOUNDED TYPE DC MOTOR

2016 ◽  
Vol 4 (9) ◽  
pp. 151-156
Author(s):  
Tanu Mahobia ◽  
A. K. Kori
Keyword(s):  
Permanent Magnet ◽  
Current Flow ◽  
Electrical Power ◽  
Dc Motor ◽  
Electrical Machines ◽  
Dc Motors ◽  
Force And Motion ◽  
Straight Line ◽  
Internal Mechanism ◽  
Permanent Magnet Dc Motors

The permanent magnet DC motors are used in various applications as heater, wiper and personal computer. A DC motor is any of a class of electrical machines that converts direct current electrical power into mechanical power. The most common types rely on the forces produced by magnetic fields. Nearly all types of DC motors have some internal mechanism, either electromechanical or electronic; to periodically change the direction of current flow in part of the motor. Most types produce rotary motion; a linear motor directly produces force and motion in a straight line.

scholarly journals Performance enhancement of BLDC motor using PID controller

2021 ◽  
Vol 12 (3) ◽  
pp. 1335
Author(s):  
S. Usha ◽  
Pranjul Mani Dubey ◽  
R. Ramya ◽  
M. V. Suganyadevi
Keyword(s):  
Pid Controller ◽  
Performance Enhancement ◽  
Speed Control ◽  
Dc Motor ◽  
Bldc Motor ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
System A ◽  
Current Controller

Mainly the DC motors are employed in most of the application. The main objective is to Regulate the DC motor system. A motor which displays the appearances of a DC motor but there is no commutator and brushes is called as brushless DC motor. These motors are widespread to their compensations than other motors in relationships of dependability, sound, efficiency, preliminary torque and longevity. To achieve the operation more reliable and less noisy, brushless dc motors are employed. In the proposed work, dissimilar methods of speed control are analysed. In real time submission of speed control of BLDC motor, numerous strategies are executed for the speed control singularity. The modified approaches are the employment of PI controller, use of PID controller and proposed current controller.

scholarly journals STUDY AND ANALYSIS OF PERMANENT MAGNET DC MOTORS WITH VARIOUS PARAMETERS

2017 ◽  
Vol 5 (2) ◽  
pp. 151-155
Author(s):  
S. K. Mahobia
Keyword(s):  
Permanent Magnet ◽  
Direct Current ◽  
Electrical Power ◽  
Speed Control ◽  
Dc Motor ◽  
Electrical Machines ◽  
Stator Winding ◽  
Dc Motors ◽  
Field Control ◽  
Permanent Magnet Dc Motors

The permanent magnet type DC motors are used in various applications as heater, wiper. DC motors are any of a class of electrical machines that converts direct current electrical power into mechanical power. The DC motor has important role in moving machine because of mostly use in the industry appliances. The speed control of DC motor is increasingly getting sophisticated and precise. The Speed of the DC motor is controlled by with the help of controlling the stator winding voltage. There are various methods of speed control of DC drives namely field control.

scholarly journals Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller

2020 ◽  
pp. 54-64
Author(s):  
Ankit Rawat ◽  
Mohd Fazle Azeem
Keyword(s):  
Fuzzy Controller ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Suitable Alternative ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Modified Genetic Algorithm ◽  
Starting Torque

In the last decade with increasing motor application domain, need towards usage of precisely controlled, noise free, highly efficient and high starting torque motors also increases, as a result dedicated applications has fascinated the researcher toward brushless DC motor. Brushless DC motors can act as suitable alternative to the traditional Brushed direct current motor, Induction Motor etc. This research paper inspects the ease and effectiveness of modified queen bee based GA tuned fuzzy controller and shows the performance of a proposed controller under diverse speed settings. A comparative study with conventional PI controller shows effectiveness of modified queen bee based GA Tuned Fuzzy controller, in terms of parameter like peak overshoot and settling time. MATLAB/SIMULINK Environment is used for optimization and modeling of Brushless DC motor drive.

An Energy Error Estimation Method for Improving Analytical Models Using Vibration Modal Test Data

1995 ◽  
Vol 209 (2) ◽  
pp. 97-105 ◽  
Author(s):  
S Guo ◽  
N G Hemingway
Keyword(s):  
Analytical Model ◽  
Error Estimation ◽  
Test Data ◽  
Dynamic Models ◽  
Estimation Method ◽  
Analytical Models ◽  
Original Matrix ◽  
Energy Error ◽  
Modal Test ◽  
Model Improvement

When improving analytical dynamic models using modal test data, correct localization of the poorly modelled areas in the analytical model is essential for ensuring the accuracy of the model improvement obtained. In this paper, a method referred to as the energy error estimation (EEE) method is proposed. Firstly, this method is capable of effectively distinguishing the correctly modelled mass and stiffness elements from those poorly modelled regions by using a limited number of test modes. This results in an accurate localization of the analytical modelling errors. Secondly, a set of correction factors can be obtained for improving those elements that are identified as having been poorly modelled. The improved analytical model will also retain its original matrix configuration, size and physical explanation, which is desirable. In order to verify the efficiency and accuracy of this proposed method, beam examples using both simulated and experimental modal test data are demonstrated. Excellent model improvement is shown in these examples.

Improvement of analytical model using uncertain test data

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 489-495
Author(s):  
Abdelkrim Cherki ◽  
Bertrand Lallemand ◽  
Thierry Tison ◽  
Pascal Level
Keyword(s):  
Analytical Model ◽  
Test Data

Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control

2019 ◽  
Vol 3 (2) ◽  
pp. 13-24
Author(s):  
Andrean George W
Keyword(s):  
Pid Control ◽  
Rotational Speed ◽  
Pid Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Labview Software ◽  
Dc Motors ◽  
Dc Motor Control ◽  
Process System ◽  
Interface Devices

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.

Recent Challenges and Advances in the Sensorless Commutation of Brushless DC Motors

2020 ◽  
Vol 13 ◽  
Author(s):  
Umesh Kumar Soni ◽  
Ramesh Kumar Tripathi
Keyword(s):  
Initial Position ◽  
Position Estimation ◽  
Current Response ◽  
Flux Linkage ◽  
Brushless Dc Motors ◽  
Position Sensing ◽  
Brushless Dc ◽  
Dc Motors ◽  
Reverse Torque ◽  
Position Detection

Background: Brushless DC motors are highly efficient motors due to its high torque to weight ratio, compact design, high speed operating capability and higher power density. Conventional Hall sensor based rotor position sensing is affected by the heating, vibration, interference and noise. Objective: The innovative, cost effective and easily implementable sensorless techniques are essential in order to achieve high efficiency, reduced current and reduced torque pulsations. Further, a delay free, high load fast startup is also important issue. Methods: In this paper an extensive review of various techniques based on the detection of freewheeling diode current, phase back EMF zero crossoing point detection, back EMF integration method and third harmonic back EMF was done. The study and effect of various PWM strategies on back EMF detection was studied. Later on the sensorless schemes based on flux linkage estimation and flux linkage increment were introduced. The load torque observers, unknown input observers, sliding mode observers, L∞-induced observers, H ∞ - deconvolution filter for back EMF estimation were also reviewed. As the brushless DC motors have no back EMF at starting and for back EMF based commutation a minimum speed is required for sufficient back EMF. Therefore various strategies of open and close-loop reduced current startup have been studied to achieve effective commutation without reverse torque. Initial position detection (IPD) schemes, which are mostly based on saliency and current response to inductance variation, is effective where reverse torque is strictly prohibited. A detailed review of these initial position detection techniques (IPD) has also been presented. Results: The detailed mathematical and graphical analysis has been presented here in order to understand the working of the state-of-art sensorless techniques. Conclusion: The back EMF detection using direct and indirect methods of terminal voltage filtering have the problem of delay and attenuation, PWM noise, freewheeling diode spikes and disturbance in detected back EMFs is a drawback. The parameter detuning, underestimation and overestimation, offset problem, system noise and observer gain variation etc. limit the applicability of observer based technique. Therefore, a more robust and precise position estimation scheme is essential.

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