Relevant bibliographies by topics / DC servo motor

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'DC servo motor'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "DC servo motor"

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Zhang, Hao Ming, Lian Soon Peh, and Ying Hai Wang. "Servo Motor Control System and Method of Auto-Detection of Types of Servo Motors." Applied Mechanics and Materials 496-500 (January 2014): 1510–15. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1510.

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Mixture of DC brushed motors and DC three-phase brushless motors has been employed in complicated robotic systems, in order to control different types of motors may using commercial chipsets. Although these commercial chipsets are capable of driving different types of motors, the users are required to define the type of motors they are controlling through software. Defining the type of motors wrongly may damage the motors. Moreover, if a motor is replaced by another type, users would need to modify the software. The paper provides an auto-detection module that can be employed in a servo motor control system with a hybrid commutation control, wherein the hybrid commutation control can drive either a DC brushed motor or a DC brushless motor.
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Abhinandan, Kumar Choudhary. "A Comparative Study on the Position Control Method of DC Servo Motor by Using Arduino." Advancement of Signal Processing and its Applications 3, no. 1 (2020): 1–6. https://doi.org/10.5281/zenodo.3833765.

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<em>In contrast to Direct Current (DC) motors, the DC servo motor angular position can be controlled at a particular angle by utilizing a control signal. Arduino has as of late been utilized in a wide scope of control approach, particularly including closed loop system with servomotor because of its adaptability and simplicity. So as to control the DC servo motor, there are three distinct techniques that can be utilized by utilizing Arduino to be specific Arduino Integrated Drive Electronics (IDE), Support focus for Simulink (Support Package) and Arduino Input/yield (IO) Package. This paper presents a similar report on the servo motor position control (with voltage feedback) by utilizing the above strategies to discover the best strategy to control the complex servo motor system with closed-loop position input.</em>
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Dai, Yue Ming, and Cong Cheng Zhu. "The Design of DC Servo Motor Control System." Applied Mechanics and Materials 433-435 (October 2013): 1241–44. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1241.

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The design is to control DC servo motor and design a DC servo control system by the computer.It measures the DC servo motors parameter by measuring element (displace sensor) and transforms some forms of information by using A/D conventer to the CPU.The CPU will compare the input signal and measuring signal and if there is error, according to the predetermined control law to produce a control signal to control motor ,the system makes input signal and measuring signal keep consistent. Control algorithm use digital PID controller .
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Dames, Fahrul, and Doni Tri Putra Yanto. "Sistem Kendali dan Monitoring Kecepatan Motor Servo Berbasis Human Machine Interface." JTEIN: Jurnal Teknik Elektro Indonesia 3, no. 2 (2022): 487–95. https://doi.org/10.24036/jtein.v3i2.273.

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The servo motor control and monitoring system based on the human machine interface is a system that can control and monitor the speed of the servo motor. Servo motors can be controlled and monitored because of the mutual communication between the motor driver and the encoder that translates and controls the servo motor. The motor driver works on the command of a programmable logic controller that has been programmed with the help of a computer. For control and monitoring, the human machine interface is used as a tool that can interact with the user as a controller as well as monitoring the speed and position of the servo motor. The hardware used is the SIEMENS SIMATIC 1215C DC/DC/DC programmable logic controller, SIMATIC BASIC COMFORT human machine interface, SINAMICS V90 motor driver and SIMOTICS S-1FL6 servo motor. TIA PORTAL and V-Assistant software are used for programming and parameter setting of each system hardware.
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Prasetya, Wayan Reza Yuda Ade, and I. Wayan Widhiada. "Implementasi Sistem Kontrol Fuzzy pada Robot Lengan Exoskeleton." Jurnal METTEK 4, no. 2 (2018): 54. http://dx.doi.org/10.24843/mettek.2018.v04.i02.p04.

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Manusia ingin dilahirkan dalam kehidupan yang sempurna, baik jasmani maupun rohani. Tetapi dalam kenyataannya, manusia jauh dari sempurna. Salah satu ketidaksempurnaan yaitu kelumpuhan pada lengan. Penelitian yang sekarang berkembang yaitu robot exoskeleton. Exoskeleton merupakan struktur pendukung dari bagian luar tubuh. Robot ini memiliki aplikasi prospektif untuk rehabilitasi atau alat bantu. Sistem kontrol exoskeleton yang sukses bergantung pada pemahaman yang lebih baik dalam biomekanik gerak tubuh manusia dan mekanisme sensorik yang juga merupakan masalah penting dalam interaksi fisik manusia-robot. Robot siku lengan yang dikembangkan oleh Thomas menggunakan servo motor sebagai aktuator. Semakin berat beban, semakin besar torsi servo tersebut. Di Indonesia tidak dijumpai servo dengan torsi tinggi. Hanya motor DC yang banyak di pasaran. Untuk menekan biaya pengembangan robot lengan exoskeleton, penelitian menggunakan motor DC. Sistem kontrol diperlukan untuk membuat sebuah motor DC bergerak seperti layaknya motor servo. Sistem kontrol logika Fuzzy paling tepat untuk mengontrol motor DC. Sebuah prototype robot lengan exoskeleton dibuat. Motor DC sebagai penggerak lengan robot. Sistem kontrol Fuzzy pada robot dibuat menggunakan software SIMULINK/MATLAB. Gerak robot dibatasi dari 0o sampai 90o. Sistem akan diuji menggunakan SIMULINK/MATLAB dan dilakukan dengan interface prototype exoskeleton. SIMULINK/Matlab memudahkan pembuatan Logika Fuzzy yang dapat mengontrol Motor DC bergerak layaknya motor servo. Data Parameter respon transient dari hasil pengujian prototype selama 20 detik, waktu tunda (td) = 1.16, waktu naik (tr) = 1.98, waktu puncak (tp) = 2.16 . Data parameter sistem kontrol Logika Fuzzy lebih baik daripada sistem kontrol sederhana yang dibuat.&#x0D; Humans want to be born in a perfect life, both physically and spiritually. But in reality, humans are far from perfect. One of the imperfections is arm paralysis. The current study is an exoskeleton robot. The exoskeleton is the supporting structure of the outer part of the body. This robot has a prospective application for rehabilitation or aids. Successful exoskeleton control systems rely on better understanding of the biomechanics of human body motion and the sensory mechanisms that are also important problems in human-robot physical interactions. The elbow arm robot developed by Thomas uses servo motors as actuators. The heavier the load, the greater the servo torque. In Indonesia there is no servo with high torque. Only DC motors are in the market. To reduce the development cost of robotic arm of exoskeleton, research using DC motor. A control system is needed to make a DC motor move like a servo motor. Fuzzy logic control system is most appropriate for control of DC motors. A prototype of an exoskeleton robot arm is made. DC motor as a actuator robot. Fuzzy control system on the robot is made using SIMULINK / MATLAB software. Robot motion is limited from 0o to 90o. The system will be tested using SIMULINK / MATLAB and done with prototype exoskeleton interface. SIMULINK / Matlab facilitate the manufacture of Fuzzy Logic that can control the motion of DC motors like servo motors. Data Parameter transient response from prototype test result for 20 seconds, Delay time (td) = 1.16, Rise time (tr) = 1.98, Peak time (tp) = 2.16. Data parameters Fuzzy Logic control system is better than the simple control system created.
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Zaw, Ngwe, and AyeTun Aye. "DESIGN AND IMPLEMENTATION OF UNIVERSAL MOTOR CONTROL USING IR REMOTE AND ARDUINO." International Research Journal of Computer Science VII, no. VI (2020): 144–50. https://doi.org/10.26562/irjcs.2020.v0706.001.

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<strong>Abstract</strong> - The main objective in the paper is to control on DC motors due to its significant advantages over other types of machine drives. In industry, DC motor is widely uses for speed control and load characteristics. This research paper shows the methodology to interface stepper, servo and DC motor on a single platform. IR (Infrared remote control) is implemented to control all motors.&nbsp; Speed of DC motor is controlled by IR remote and H -BRIDGE respectively. Stepper motor is controlled by ULN2003 current driver and servo motor is controlled by Arduino controller. In a nut shell, all the motors are controlled using IR remote and Arduino controller. &nbsp;
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Dr., M. Shanmugavalli, M. Mathangini, M. Praveena, and N. R. Kaavya. "Control of DC Motor using LabVIEW." International Journal of Multidisciplinary Research Transactions 7, no. 3 (2025): 29–40. https://doi.org/10.5281/zenodo.15046941.

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This paper presents an in-depth study of servo motor using the NI myRIO platform and LabVIEW software, Servo motors are widely used in automation, robotics, and control systems, requiring precise position control. The NI myRIO, a reconfigurable embedded devise, facilities real-time control applications through LabVIEW&rsquo;s graphical programming interface. The project demonstrates the implementation of a Pulse Width Modulation (PWM) signal to drive a (NAME) servo motor. The methodology includes setting up NI myRIO designing the LabVIEW virtual instrument, and analysing the system&rsquo;s response. The LabVIEW block diagram allow users to generate PWM signals, while the front panel provides an intuitive user interface for controlling servo motor position. Key challenges such as latency, PWM signal noise, and torque limitations are discussed, along with future enhancements, including multiple servo integration and wireless control. This study highlights the effectiveness of LabVIEW in servo motor applications, making it a valuable tool for embedded systems education and industrial automation. The practical implementation outlined in this paper serves as a foundational guide for engineers and students working with motion control systems. &nbsp;
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Durdu, Akif, and Emre Hasan Dursun. "Sliding Mode Control for Position Tracking of Servo System with a Variable Loaded DC Motor." Elektronika ir Elektrotechnika 25, no. 4 (2019): 8–16. http://dx.doi.org/10.5755/j01.eie.25.4.23964.

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In this paper, the real-time position control of servo system is carried out using sliding mode control (SMC) method based on variable structure control (VSC). As DC Motors are commonly used in many industrial applications and robotics, studies in this paper have are tested on a DC servo system, which is designed and produced by Quanser Inc. Three different types of sliding mode controllers are designed for position control of servo system and, later, performance comparison of DC Motor on Servo system is made. According to results obtained from real-time servo system, it is shown that SMC method is robust against to disturbing effects, variabilities, and uncertainties on the systems. Outstanding part of this paper is that designed controllers are implemented to servo system in real-time with a variable loaded DC Motor. Moreover, this study shows that this control structure can be performed as high performance in the real-time motor control applications.
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Liu, Dong Xiang. "Design and Development of DC Motor Speed Control System Based on ARM." Advanced Materials Research 926-930 (May 2014): 1239–42. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1239.

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With the continuous development of embedded technology and its application in the field of industrial control and more and more people's attention, and play an important role. With ARM processors as controllers, including human-computer interaction interface, DC power unit and its driver modules, load and drive modules section. ARM controller by a/d sampling speed to get the error signal, and then after a certain algorithm, by d/a converter to control DC motors, so as to achieve the purpose of controlling the speed. In addition, ARM controllers can also be set through the d/a converter load to facilitate research of DC motor speed control system of static and dynamic characteristics in different load. Research and development of DC servo motor control system based on ARM core of DC servo motor control is a relatively new field, is one of the control of DC servo motor trend.
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Wang, Cai Xia, Xue Min Bai, and Fen Dou Lv. "Design on Embedded Driving and Control System for Direct Current Servo Motor." Applied Mechanics and Materials 433-435 (October 2013): 1307–12. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1307.

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Analyzed working principle of servo control system and applications of direct current (i.e. DC) servo motor in the two-dimensional (i.e. 2D) digital control system, used embedded PC104 processor as the central processing unit, selected DC servo motor whose model was J320LYX04C as azimuth axis motor, and DC servo motor whose model was J215LYX03E as pitch axis motor, constituted the executive body for servo system, and designed a driving and control system which can control the two-dimension turntable rotating precisely in space and lead CCD image sensor to catch and track target. Tests show that the system positioning accuracy meet the given requirements and the system with high reliability runs smoothly in the real application.
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Dissertations / Theses on the topic "DC servo motor"

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Wong, Yuen-Chong (Derek/Derrick). "A novel microprocessor-controlled 4-quadrant DC-to-DC converter for a DC servo motor drive." Thesis, Loughborough University, 1994. https://dspace.lboro.ac.uk/2134/26967.

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This thesis describes the implementation of a novel microprocessor-controlled, 4-quadrant DC-to-DC converter for driving a DC servo motor. The converter is supplied from a fixed 28V DC voltage source and the output voltage can be varied throughout the range ±180V.
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Shaban-Zanjani, Hamid. "Accurate positioning of a servo DC-motor using self adjusting-adaptive sliding model controller." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/9517.

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This study presents a strategy for position feedback control, a so-called self-adjusting adaptive sliding mode controller, to obtain a desired steady state error for a DC-motor servo in the presence of Coulomb friction and stiction. Sliding mode controllers are of the type of nonlinear controllers which have been studied extensively by Russian scientists, including V. I. Utkin and V. Itkis. The self adjusting sliding mode control method that this thesis is focused on is an adaptive discontinuous controller with an approximated sliding mode trajectory. The study is concerned with both analytical and experimental performances of such a class of control strategy and a PID (proportional integral and derivative) controller in the presence of dry friction for the purpose of comparison. The study also investigates the effect of nonlinear phenomenon such as torque saturation on the states of the variables of such a system. The result of the paper is finally based on the suitable performance of the suggested control methodology utilizing a new form of sliding mode controller for the second order class of systems, rather than the conventional forms from V. Itkis and V. I. Utkin.
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Juston, John M. "Theoretical and experimental study into the dynamics and control of a flexible beam with a DC-servo motor actuator." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/50029.

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Position and vibration control of a flexible beam is studied analytically and in the laboratory. Two different motor types are compared as actuators throughout the thesis: a standard voltage controlled motor and a torque controlled motor. The experimental beam is controlled with a dc-servo motor at its base and is instrumented with strain gages and a potentiometer. The control law is a form of linear, direct-output feedback. State estimators augment the control law to provide rate information that is not available from the instrumentation. Accurate modeling of the system’s inherent damping characteristics is achieved by analyzing experimental data. Gains were iterated yielding minimum-gain norm and minimum-sensitivity norm solutions to meet imposed eigenvalue placement constraints. Results for the two solutions and the two systems are compared and contrasted. Experimental verification of analytical results is hampered by unmodeled system non-linearities. Several attempts at bypassing these obstacles are shown. Finally, conclusions and recommendations are made.<br>Master of Science<br>incomplete_metadata
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Nguyen, Thuc Tuyen. "Robot pro stolní tenis." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-231006.

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This diploma thesis deals with designing and manipulating a robot for training table tennis. Robot's mechanical construction is based on aluminium profiles supported by various standardized assembly units, such as rotating bearings, plain bearings, threaded rods... The front-end part of the robot, which requires better deformation property and lighter weight, was made from ABS material using 3D rapid prototyping technology. The design of the robot allows its body to rotate around three axises. Thanks to the high dynamical ability, robot can be set to throw balls to various places on the playing table, with different types of ball spin. Balls will be shot out by two rubber wheels, which are attached to two electrical DC motors. By driving the speed of the two motors, we can control the speed of the ball, as well as speed of its spin. All robot's activities are driven by an embedded system designed using microcontroller ATMega128. A firmware for controlling robot's function was writen and flashed into the microcontroller. End-users might communicate with the robot via a system of buttons and a text LCD display. The built robot was tested and it has shown its ability to throw balls to 6 different places of the playing table, at different speeds, with different types of ball spin, and different spin speed, according to the parameters set by user.
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Krolák, David. "Modul pro verifikaci rotačních pozičních senzorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242153.

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This master‘s thesis deals with design and realisation of a control module for automated measurements of the modern contactless inductive position sensors by a mechanical rotational system consisting of a DC motor and an incremental quadrature encoder. The thesis presents methods of driving DC motor and recording of measured data by a microcontroller. The thesis presents a communication protocol between the control module and personal computer via USB interface. A part of this thesis is also to develop a control software and firmware, including the measurement and evaluation of properties of the control module.
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Kasap, Onur. "Development Of A Pc Numerical System For High Voltage Sphere Gap Control." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606145/index.pdf.

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In this thesis, a high precision motion and position control system has been developed and applied to a high voltage sphere gap control and measurement system. The system is able to support up to 3-axes position and motion control. The control system includes a microcontroller card, three DC servo motor driver cards and a data storage unit. To provide communication between computer and motion control system, the Universal Serial Bus (USB) port is used. The microcontroller card is equipped with an USB interface and a PIC (Peripheral Interface Controllers) microcontroller. This microcontroller controls the dedicated motion control processors (LM629), on servo motor driver cards and read/write operations of data storage unit, which consists of a Multi Media Card.
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Janeček, Jan. "Řízení pohybů dvouramenného žonglovacího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230105.

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The diploma thesis is a part of the project Intelligent double arm juggling machine. The project is divided into two diploma thesis. This thesis deals with the motion control of juggling arms. Information about hardware and software resources used in this project is in the first part of thesis. There is explanation of the control loop, explanation of used communication protocols and implementation of program proceeding in the second part of thesis.
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Almeida, Ricardo Jorge Lopes de. "Bicicleta controlada: uma questão de equilíbrio." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21738.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>O presente trabalho propõe divulgar o estudo e a realização efetuada, de forma a obter um sistema composto por uma bicicleta, capaz de efetuar um passeio autónomo, em equilíbrio. Esta tese é constituída por uma apresentação dos componentes incluídos ao sistema inicial, onde figuram conceitos teóricos importantes à composição dos mesmos. É feita a descrição do modelo final relativamente ao sistema físico construído, onde este terá como objetivo a realização de uma viagem sem qualquer contacto físico com o utilizador, consistindo o sistema de equilíbrio na atuação exclusiva do guiador. A bicicleta é adaptada de forma a mover-se através da energia elétrica, implementando assim dois sistemas de controlo, equilíbrio e velocidade. O foco incide na criação de um sistema capaz de realizar o objetivo, para uma determinada velocidade. Os parâmetros reais da bicicleta foram medidos e utilizados para criar um ambiente de simulação da bicicleta em Simulink, onde vários controladores foram simulados antes da implementação no projeto de controlo da bicicleta física.<br>This current paper intends to reveal the study and the achievement made, in order to obtain a system composed of a bike, able to make, in balance, a separate walk. This thesis consist of a presentation of the components included in the initial system, which also comprise important theoretical concepts to their composition. The final model is described in relation to the physical system, where the final objective is to carry out a trip without any contact with an user, consisting in the exclusive operation of the handlebar to maintain the equilibrium. The bicycle is adapted to move through electric energy, thus implementing two systems of control, balance and speed. The focus is on creating a system capable of achieving the goal for a given speed. The actual bike parameters were measured and used to create a Simulink bike simulation environment where several controllers were simulated prior to implementation in the physical bike control project.
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Naser, Tim, and Stavros Ntouvas. "Gobi : Automatic sand-spreading robot." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296306.

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The purpose of this report was to research through the construction of a prototype the technical challenges associated with creating a robot that distributes sand on patios after snowfall. A robot that could complete this task should be able to know its position in an unknown terrain and traverse it in a predictable manner that allows for the even spread of the sand. In order to achieve stability and predictability of movement, stepper motor driven wheels were chosen as the steering method. The sand-spreading mechanism consists of a DC Motor connected to a 3D-printed disc with rectangular extrusions at its base. The wheels and chassis of the robot were likewise 3D-printed. Lastly, an Arduino MEGA board was the controller of choice.<br>Syftet med denna rapport var att genom konstruktionen aven prototyp undersöka de tekniska utmaningarna för att skapa en robot som distribuerar sand på uteplatser efter snöfall. En robot som kan slutföra denna uppgift bör kunna känna till sin position i en okänd terräng och färdas på den på ett förutsägbart sätt som möjliggör en jämn spridning av sanden. För att uppnå stabilitet och förutsägbarhet för rörelse valdes stegmotordrivna hjul som styrmetod. Sandspridningsmekanismen består av en likströmsmotor ansluten till en 3D-utskriven skiva med rektangulära extruderingar vid basen. Robotens hjul och chassi var också 3D-utskrivna. Slutligen var ett Arduino MEGA-kort den valfriastyrenheten.
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HUANG, HAO-XIAN, and 黃浩賢. "DC Motor Servo Control Study." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/v5b883.

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碩士<br>南亞技術學院<br>機械工程系機械與機電工程碩士班<br>105<br>As the human’s heart, motor in mechanical system provides power source for running the equipments, so the motor performances such as the responding speed and the stability are very important. In daily life, the applications of DC motors such as rolling doors, pump motors, are able to operate while beyond the static friction force. In the process it will encounter in magnetic saturation as well as the long stable time that causes the system out of control. Therefore nonlinear research has gradually attracted people’s attentions. In this study, firstly, Matlab Simulink software was applied to construct the system control model for stability analysis. Secondly, Routh–Hurwitz(R-H) stability criterion and describe function method are used to obtain the stability parameters of controller. By using PID controller, a verification result of subsequent system shows that the response curve of R-H criterion is not acceptable. On the other hand, for better, the description of system stability by DFM demonstrates that the system can still return to the stable state under external disturbance influence.
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Books on the topic "DC servo motor"

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Speed Control of Sensorless Brushless DC Motor: Brushless DC Motor Controller, AC Gear Motor, Permanent Magnet DC Motor, Large DC Motors, Brushless Electric Motor, Brushless DC Motor, DC Motors, Servo Motor. Independently Published, 2018.

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Wong, Yuen-Chong. A novel microprocessor controlled 4-quadrant DC-to-DC converter for a DC servo motor drive. 1994.

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Rossitto, Vincent S. Pulse width modulator controller design for a brushless dc motor position servo. 1987.

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Unknown. DC Motors, Speed Controls, Servo Systems: An Engineering Handbook. Elsevier Science & Technology Books, 2013.

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Norbom, Herb. Raspberry Pi Python Projects: Servos, Stepper, DC Motors, Ultra Sonic Sensor, Infrared Detector, Thumb Joy Stick and more. CreateSpace Independent Publishing Platform, 2017.

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Book chapters on the topic "DC servo motor"

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Yao, Fulai, and Yaming Yao. "Calculation and Selection of Motor Parameters in Automation System." In Efficient Energy-Saving Control and Optimization for Multi-Unit Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4492-3_11.

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AbstractMotors are the most important executive components in electrical automation equipment, including AC motors, DC motors, AC servo motors, DC servo motors, stepping motors, etc. In the design of the automation system, the selection of the motor is a frequently encountered problem. You need to calculate the parameters of the required motor. Novices often do not know where to start. Below we give a simple calculation and selection method.
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Chai, Wenping, Chenhao Li, Chunwei Cai, Chuntao Wang, and Bingqing Liu. "DC Servo Motor Wireless Power Supply System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4800-9_39.

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Buciakowski, Mariusz, and Marcin Witczak. "Adaptive Actuator Fault Estimation for DC Servo Motor." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23180-8_9.

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Adarsh, S. R., and S. Selvakumar. "Model Identification and Position Control of Quanser Qube Servo DC Motor." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_107.

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Sun, Qing, Guangping Liu, Demin Qiu, Qi Zhang, and Jiaqing Xi. "The Research on Servo DC Motor Fault Diagnosis with LVQ Neural Network Theory." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44687-4_50.

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Elias, Nurainaa, and Nafrizuan Mat Yahya. "Fuzzy Logic Controller Optimized by MABSA for DC Servo Motor on Physical Experiment." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4597-3_51.

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Özçalık, H. Rıza. "An Efficient DC Servo Motor Control Based on Neural Noncausal Inverse Modeling of the Plant." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760023_158.

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Kumar, Pravin, Arvind Kumar Prajapati, Harshit Mohan, Vinod Kumar Yadav, and Maneesh Kumar. "Experimentally Validated $$P{I^\lambda }$$ Controller and Modelling of DC Servo-motor for Industry Applications." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0104-2_25.

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Zheng, Zhongjiu, Ning Wang, and Hong Zhao. "Adaptive Discrete-Time Sliding Mode Control of Brushless DC Motor Servo System for Unmanned Surface Vehicles." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15235-2_72.

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Zhang, Xueliang, and Sha Zhang. "Research on Reliability Improvement of Hall Position Signal in Radar Servo System Based on Brushless DC Motor." In Proceedings of the Eighth Asia International Symposium on Mechatronics. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1309-9_168.

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Conference papers on the topic "DC servo motor"

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Bezzubov, N. A., S. V. Feofilov, and O. V. Goryachev. "RBFNN-based Control Design Methodology for a DC Servo Motor with a Lyapunov Stability." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803890.

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Li, Yikun. "Optimization of PID Control over DC Servo Motor System based on BP Neural Networks." In 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE). IEEE, 2025. https://doi.org/10.1109/eeice65049.2025.11033826.

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Reck, Rebecca M. "Validating DC Motor Models on the Quanser Qube Servo." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9158.

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DC motors are popular for many engineering applications such as robotics, aerospace, home automation, and many others. As such, they are also popular systems for undergraduate examples and instructional laboratories in engineering. Many of these examples use a standard first-order model of a DC Motor using first principles modeling to derive the parameters. However, not much emphasis is placed on how well these models match the actual data. In this paper, six DC motor models, including three frequently found in textbook examples, will be compared to recorded data from actual DC motors in order to develop a model that represents the actual physical behavior of a DC motor. The models that were developed from the data rather than first principles matched the data more closely for the angular velocity output of the motor. Finally, the best models will be used to simulate a closed-loop position control of the motor and match the performance to recorded data.
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Wang, W., and H. Yu. "Exploitation of DC Servo Motor Controller." In The 2015 International Conference on Software Engineering and Information Technology (SEIT2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814740104_0059.

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Glower, Jacob, Jack Anderson, Paul Brzezinski, Kris Conklin, and Micah Goldade. "Impedance Control of a DC Servo Motor." In 2018 IEEE International Conference on Electro/Information Technology (EIT). IEEE, 2018. http://dx.doi.org/10.1109/eit.2018.8500203.

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Kostadinovic, Miroslav, Mile Stojcev, Zlatko Bundalo, and Dusanka Bundalo. "Simulation model of DC servo motor control." In 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010). IEEE, 2010. http://dx.doi.org/10.1109/epepemc.2010.5606599.

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Prem, Oshin, Bhavnesh Kumar, and S. K. Jha. "Intelligent Speed Control of DC Servo Motor Drive." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9009138.

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Radcliffe, Clark. "An Analytical Mechatronic Model for Series DC Motors Using Manufacturer Test Data." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2549.

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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.
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Hung, Meei-Ling, Her-Terng Yau, Pi-Yun Chen, and Yuan-Hung Su. "Intelligent control design and implementation of DC servo motor." In 2010 International Symposium on Computer, Communication, Control and Automation (3CA). IEEE, 2010. http://dx.doi.org/10.1109/3ca.2010.5533445.

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Banerjee, M., S. Guha, J. Dey, and R. Mondal. "Precision Modular DC Servo Motor Control with FO Controllers." In Michael Faraday IET International Summit 2020 (MFIIS 2020). Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.1142.

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