Relevant bibliographies by topics / Arduino controllers

Contents

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

Academic literature on the topic 'Arduino controllers'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Arduino controllers"

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Zulkifli, Shamsul Aizam, Mohd Khairul Akli Ab Ghani, Farih Deraman, Nawi Berahim, Abdul Hadi Abdullah, and Mohd Razali Md Tomari. "Investigation on Various Voltage Controllers for 3 Phase Rectifier Using Arduino as a Low Cost Microcontroller." Applied Mechanics and Materials 793 (September 2015): 257–61. http://dx.doi.org/10.4028/www.scientific.net/amm.793.257.

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This paper focuses on investigation of various voltage controllers which are the Proportional Integration Derivative (PID) control and P-Resonant control in order to observe the efficiency of the low cost microcontroller such as Arduino for the gating signals generation. Both of the controllers have been selected due to the availabality of the block diagrams that can be build in the MATLAB. The MATLAB-Simulink block will be used as the interface between the design controller to the Arduino board before downloaded into Arduino. The results show, the Arduino is able to operate from various controllers but it gives better result when the P-Resonant controller has been used.
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Shrivastava, Rishikesh. "Digital PID Controller based Speed Control of DC Motor." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33352.

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PID controllers are commonly utilised in industry because of their ease of use and adaptability. To adjust these controllers for desirable responses, a number of tuning rules have been developed. This work aims to regulate a robotic vehicle's speed by utilising a PID controller to adjust the motor speed in reaction to impediments. We offer a technique that uses an Arduino microcontroller to automatically tune the PID controller to control the speed of a DC motor. An Arduino Uno device interfaces the DC motor with Simulink and functions as an affordable data collecting device. In order to maintain the motor speed within setpoint limitations, the PID controller modifies it in response to object distance data obtained from sensors. The study suggests utilising a PID controller to regulate the DC motor's angular speed and a microcontroller to implement it in hardware. The L298 motor controller is utilised, the encoder sensor determines angular speed, while the Arduino Uno is utilised for data processing. The proportional controller affects rising time, overestimation, and steady-state errors in the hardware implementation. Overshoot and undershoot are impacted by the integral controller, although overshoot is very slightly impacted by the derivative controller. Top of Form Keywords— Arduino Controller, LCD Display, PID Controller, DC Motor, Motor Driver etc.
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Li, Wu Jeng, Shu Chu Tung, and Shih Miao Huang. "Home Security Service Enhanced with Information Stations." Applied Mechanics and Materials 764-765 (May 2015): 915–18. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.915.

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This research enhances a home security service with information stations. The service is based on a web-based multiple stations supervisory control framework. A service server (or cloud) kept in a company to serve numerous homes for security monitoring. Arduino controllers are used as home security controllers. An Arduino controller senses door switch, motion detection, smoke detection, gas detection, CO detection, an emergency button, RFID tag, and a spare sensing contact. The controller also drives door lock, two relays to perform security task. RFID is used to help personnel in/out management and alert enable/disable. The controller reads inputs, uploads input/output data to the service server, executes commands from the server, and drives output continuously. Camera servers are added to a house to provide video surveillance. Camera alert events are sent to the service server. Information stations, like earthquake alert station and weather station, are established in the server to provide environmental information. Users can subscribe certain information data and put them in the control laws of the Arduino controllers with condition control. With input/output authorization, the home security of one user is associated with others. Therefore, the whole security service forms a social security group.
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Tung, Shu Chu, Wu Jeng Li, Shih Miao Huang, and Yi Ting Lai. "A Web-Based Arduino Supervisory Control System." Applied Mechanics and Materials 284-287 (January 2013): 3216–20. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3216.

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This paper designs a web-based Arduino supervisory control system. Arduino controller is utilized as a local controller to fit into a supervisory control framework. The framework includes a central server, a SMS device attached to the server, multiple local controllers, a remote control program and a ladder logic computer-aided design program. The Arduino controller contains an Arduino USB board and an Ethernet shield. The USB board provides basic input/output and processing power, while the Ethernet shield provides TCP/IP connection capability. The Arduino controller communicates with supervisory server with a specific m2m protocol which is based on http protocol. In this paper, the http protocol and m2m protocol is fulfilled based on TCP connection in an Arduino controller. Once an Arduino controller is plugged into the supervisory control system, it can be monitored and controlled remotely with any browser. The web-based Arduino supervisory control system is used to provide remote supervisory control service of water pumping systems of multistorey buildings scattered in big Taipei area by a small company.
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Daoud, Amine. "An Arduino-based Low-Cost Hardware for Temperature Control." WSEAS TRANSACTIONS ON SYSTEMS 20 (April 2, 2021): 54–66. http://dx.doi.org/10.37394/23202.2021.20.8.

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This paper describes a simple digital temperature control system where the popular LM35DZ sensor is used to sense the temperature of a resistive heating element and to provide a feedback to an Arduino microcontroller board. By subtracting the measured temperature from the desired temperature, a value of error is then processed by a conventional PID controller which provides an adjustment signal and drives a bipolar junction transistor in order to minimize or remove that error by a simple ON/OFF switching of the power to the heating element. The control is also done using logic controllers such as ON/OFF and hysteresis controllers. The evaluation of each controller performance is based on rise time, overshoot, steady state error and the most common performance criterion which is the integral of the absolute value of the error. Besides that, the arduino integrated development environment (IDE) software is used to write the program code. Moreover, other languages are used to program the Arduino such as Matlab support package for Arduino hardware, Flowcode IDE and mBlock.
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Untoro Suwarno, Djoko. "Simulation on the effects of the Arduino PID controller parameters using the WOKWI online simulator." International Conference on Information Science and Technology Innovation (ICoSTEC) 1, no. 1 (2022): 1–5. http://dx.doi.org/10.35842/icostec.v1i1.1.

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PID controllers are known in the industrial world as reliable controllers and are studied in universities. The explanation of the ideal PID mathematically often makes it difficult for students to understand the computational process and the implementation that occurs. Often there is difficulty in selecting the correct controller parameters, for example, the Kp, Ki, and Kd parameters. In this study, PID parameters were selected in the form of Kp, Ti, and Td and observed controller output. The Ti parameter as the time integral is easier to understand than the Ki parameter as the gain integral. The Arduino simulator used is wokwi which is an online Arduino simulator. The PID library used is the Arduino Brett Beauregard PID. The results obtained are the effect of changes in the parameters of Kp, Ti, and Td on the controller output. For larger Kp, the controller output is proportional to the amount of input. The larger the Ti, the slower the system output, while the effect of Td is used when the input changes frequently
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Tung, Shu Chu, Wu Jeng Li, and Shih Miao Huang. "Home Security Service and Condition Control." Applied Mechanics and Materials 479-480 (December 2013): 661–64. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.661.

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This research creates home security service with social interaction based on a web-based multiple stations supervisory control framework. An Arduino controller is used as a thin-controller to control a home security system. Most control laws are computed in server-side, driving commands are transferred to local controllers for execution. A supervisory control server kept in a company can serve numerous Arduino controllers to provide home security service. The Arduino controller can sense door switch, motion detection, smoke detection, gas detection, CO detection, and an emergency button, and can drive door lock, two relays. Besides, RFID is used to help personnel in/out management and alert enable/disable. The controller reads inputs, uploads input/output data to the supervisory server, executes commands from the server, and drives output continuously. Once a controller is connected to the supervisory server, it can be monitored and controlled remotely. Condition control is proposed for the framework to help program control laws for Arduino controllers. In condition control, conditions are set. When some condition is met, certain actions are taken. There are three types of conditions; time condition, input/output condition, and location condition. And there are three kinds of actions; SMS notification, email notification, and output drive. Conditions, actions and their connections are set by system users in a browser with the help of the supervisory control information management system. The control laws set in the condition control are executed in server-side. User of the home security system can open the read/write rights of his input/output points to other users. With appropriate control law, a motion detection signal of one user can activate the alarm of another user. Therefore, the home security service is not just a security for users home, but a security for a social group.
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Zulkifli, Shamsul Aizam, Mohd Razali Tomari, Mohd Najib Hussin, et al. "Application of Robust Control on Arduino Microcontroller Testing in Power Electronics Converters." Applied Mechanics and Materials 785 (August 2015): 172–76. http://dx.doi.org/10.4028/www.scientific.net/amm.785.172.

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This paper presents the capability of Arduino for responding to the robust controller which has been applied to the 3 phase rectifier and 3 phase inverter. The interface between the converters and the Arduino has been established by using MATLAB-Simulink environment. This is the fastest interface due the Arduino library that is available in the MATLAB which can be used before downloading the program to the board. Two types of controllers have been tested which are, P-Resonant and Fuzzy-PI controller. The voltage or current feedback mechanism also has been applied between the converters with the Arduino input port in order for responding to the design controller for signal generating pattern. At the end, it shows that, the Arduino is capable to receive the signals from the converters, process the signals in the board and generating the signal out for controlling the converters.
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Samidha, Saxena. "Android guided arduino car." i-manager’s Journal on Electronics Engineering 14, no. 3 (2024): 38. http://dx.doi.org/10.26634/jele.14.3.20815.

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This paper aims to design an Android interface, an Arduino bot, and write a program on the Arduino microprocessor. Arduino cars contain Arduino microcontrollers with basic mobility features. Arduino programs contain instructions for mediating between an Android controller and an Arduino car. Android mobile controllers use different mobile sensors to supervise motion. An appropriate program in the Arduino microprocessor to interact with the Android controller has to be created. The program has been successfully compiled through the Arduino IDE on the Arduino microprocessor and loaded into it after proper checking of the logic to decrease any loss or damage to the hardware. An Android application is created that provides the user with an interface to interact with the Arduino-powered car. The interface is easy to use and provides feedback from the Arduino microprocessor through Bluetooth after giving instructions to the Arduino for various actions through the interface. The Android application is to be created with the help of Android Studio, which provides more capability and stability. After doing all of this, the application is thoroughly tested, and the maximum number of errors and wrong logic in the microprocessor program are found.
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Silva, Bruno E., and Ramiro S. Barbosa. "Experiments with Neural Networks in the Identification and Control of a Magnetic Levitation System Using a Low-Cost Platform." Applied Sciences 11, no. 6 (2021): 2535. http://dx.doi.org/10.3390/app11062535.

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In this article, we designed and implemented neural controllers to control a nonlinear and unstable magnetic levitation system composed of an electromagnet and a magnetic disk. The objective was to evaluate the implementation and performance of neural control algorithms in a low-cost hardware. In a first phase, we designed two classical controllers with the objective to provide the training data for the neural controllers. After, we identified several neural models of the levitation system using Nonlinear AutoRegressive eXogenous (NARX)-type neural networks that were used to emulate the forward dynamics of the system. Finally, we designed and implemented three neural control structures: the inverse controller, the internal model controller, and the model reference controller for the control of the levitation system. The neural controllers were tested on a low-cost Arduino control platform through MATLAB/Simulink. The experimental results proved the good performance of the neural controllers.
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Dissertations / Theses on the topic "Arduino controllers"

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Ande, Rama kanth, and Sharath Chandra Amarawadi. "Evaluation of ROS and Arduino Controllers for the OBDH Subsystem of a CubeSat." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1933.

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CubeSat projects in various universities around the world have become predominant in the study and research for developing CubeSats. Such projects have broadened the scope for understanding this new area of space research. Different CubeSats have been developed by other universities and institutions for different applications. The process of design, development and deployment of CubeSats involves several stages of theoretical and practical work ranging from understanding the concepts associated with communication subsystems, data handling subsystems to innovations in the field like implementing compatible operating systems in the CubeSat processors and new designs of transceivers and other components. One of the future trend setting research areas in CubeSat projects is the implementation of ROS in CubeSat. Robot Operating System (ROS) is aiming to capture the future of many embedded systems including Robotics. In this thesis, an attempt is made to understand the challenges faced during implementing ROS in CubeSat to provide a foundation for the OBDH subsystem and provide important guidelines for future developers relying on ROS run CubeSats. Since using traditional transceivers and power supply would be expensive, we have tried simulating Arduino to act as transceiver and power supply subsystems. Arduino is an open-source physical computing platform based on a simple microcontroller board, and a development environment for writing software for the board designed to make the process of using electronics in major embedded projects more accessible and inexpensive. Another important focus in this thesis has been to establish communication between CubeSat kit and Arduino. The major motivating factor for this thesis was to experiment with and come up with alternate ways which could prove as important measures in future to develop an effective and useful CubeSat by cutting down on development costs. An extensive literature review is carried out on the concepts of Arduino boards and ROS and its uses in Robotics which served as a base to understand its use in CubeSat. Experiment is conducted to communicate the CubeSat kit with Arduino. The results from the study of ROS and experiments with Arduino have been highly useful in drafting major problems and complications that developers would encounter while implementing ROS in CubeSat. Comprehensive analysis to the results obtained serve as important suggestions and guidelines for future researchers working in this field.<br>One of the future trend setting research areas in CubeSat projects is the implementation of ROS in CubeSat. Robot Operating System (ROS) is aiming to capture the future of many embedded systems including Robotics. In this thesis, an attempt is made to understand the challenges faced during implementing ROS in CubeSat to provide a foundation for the OBDH subsystem and provide important guidelines for future developers relying on ROS run CubeSats. Since using traditional transceivers and power supply would be expensive, we have tried simulating Arduino to act as transceiver and power supply subsystems. Arduino is an open-source physical computing platform based on a simple microcontroller board, and a development environment for writing software for the board designed to make the process of using electronics in major embedded projects more accessible and inexpensive.
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Batmanian, Saro, and Pasam Naga. "Control and balancing of a small vehicle with two wheels for autonomous driving." Thesis, KTH, Fordonsdynamik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265618.

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Control and balancing of an inverted pendulum has gained a lot of attention over the past few decades due to its unstable properties. This has become a great challenge for control engineers to verify and test the control theory. To control and balance an inverted pendulum, proportional integrated derivative (PID) method or linear quadratic regulator (LQR) method can be used through which a lot of simulations can be done using the represented theories.Since urban population is increasing at a very alarming rate, there is a need to discover new ways of transportation to meet the future challenges and demands. Scania has come up with a new conceptual bus called NXT which aims to develop a modular vehicle that should configure and re-configure themselves between different transportation tasks. NXT vehicle has front and rear drive modules which can be represented as single axle, two-wheeled vehicles which in-turn can be viewed as an inverted pendulum with a huge Center of Gravity. Controlling and balancing of the pod or drive module precisely and accurately is an interesting challenge since it is an unstable inverted pendulum with huge center of gravity (COG). This behaviour of the system has created a research question whether the module is controllable or not.Therefore this thesis focuses on the possibility of controlling the pod which is a two-wheeled inverted pendulum vehicle with a COG offset. Also, the thesis focuses on the construction, mod-elling, testing and validation of a down-scaled model, what sensors are needed to balance the pod precisely, how the sensors must be integrated with the system and how the pod can be controlled remotely from a certain distance by a human. The developed pod houses the technologies like sensors, BLDC motor controllers, hoverboard, Arduino board and Bluetooth transmitters.The Master Thesis starts by presenting an introduction to the inverted pendulum theories, Scania NXT project, information about the research methods, thesis outline and structure . It continues by describing related literature about the inverted pendulums, segways, hoverboards, motor controllers and Arduino boards. Afterwards, the process of deriving a mathematical model, together with simulation in Matlab, Simulink and Simscape is described. Later, construction of the pod is made and lot of effort is put to run the pod. Since the pod needs to be controlled remotely by a human, a remote controlled systemis implemented via mobile phone using an app and finally the thesis is finished with a conclusion and ideas for future work.<br>Reglering och balancering av en inverterad pendel har väckt stor uppmärksamhet över de senaste decennierna på grund av dess instabila egenskaper. Det har skapat stora utmaningar för regleringenjörer eftersom området tillåter test och verifikation av diverese lösningar. För reglering och balansering av en inverterad pendel, så kan en regulator med proportionell, integral och derivat (PID) konstanter eller en linjär kvadratisk regulator (LQR) användas tillsammans med simuleringar för att bekräfta teorin.I och med att stadsbefolkningen ökar i mycket hög takt, så uppstår behovet av att uppfinna nya transportmedel för att lösa framtida utmaningar och krav. Scania har tagit fram en ny konceptbuss som heter NXT, med målet att utveckla ett modulfordon som kommer att konfigurera och rekonfigurera sig själva mellan olika transportuppgifter. NXT-fordonet har fram- och bakdriv-moduler som kan representeras som enaxlade tvåhjuliga fordon, vilka i sin tur kan betraktas som en inverterad pendel med en stor massa. Att reglera och balansera drivmodulen på ett noggrant sätt är en utmaning eftersom det är ett mycket instabilt system med enorm massa och en okänd tyngdpunkt. Systemets beteende har skapat en forskningsfråga om modulen är reglerbar eller inte.Denna uppsats fokuserar därmed på möjligheterna att kunna reglera drivmodulen samt vilka begränsningar det finns. Uppsatsen fokuserar också på konstruktion, modellering, testning och validering av en nedskalad modell, vilka sensorer som krävs för att balansera drivmodulem, samt hur sensorerna måste integreras med systemet för att kunna fjärstyra fordonet från ett visst avstånd. Utveckingen av en sådan nedskalad modell berör olika områden såsom sensorer, BLDC-motorstyrenheter, hoverboard balanserings scootrar, Arduino kretskort och Bluetooth-sändare/mottagare.Uppsasten börjar med en introduction om olika inverterade pendel teorier, Scania NXT project, forskningsmetoder, en översikt och övergripande struktur. Vidare fortsätter beskrivining av relaterade litteratur om inverterade pendel, Segway, hoverboard, borstlösa motor styrenheter och Arduino kretskort. Senare fortsätter processen för att härleda matematiska modeller som beskirver systemet, tillsammans med simuleringar i Matlab, Simulink och Simscape. Därefter beskrivs konstruktionen av en nedskalad modell av drivmodulen och beskrivning av nödvändiga processer för att få hårdvara och mjkukvara att fungera ihop. Då fordonen ska ha möjlighet att fjärrstyras, så implementerades en bluetooth enhet tillsammans med en programmerbar mobil applikation. Slutligen avlutas uppsatsen med resultat, slutsats och diskussioner och förslag till framtida arbeten.
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Gustafsson, Christopher. "Joystick Radar Control : Implementing joystick control of a radar rig using single board micro-controllers by emulating generic mouse and keyboard commands." Thesis, Linköpings universitet, Datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175357.

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The Swedish Defence Materiel Administration provides tests and evaluations of military Aircrafts and their systems as well as provide services in connection with military exercises. Testing aircraft against a radar antenna and training crews with this radar is part of that offering. The radar is deployed in a container rig and controlled by a computer running Windows 2000. The current option to control this computer is a mouse and keyboard. In this thesis, a system will be designed that is able to improve the ease of use of this rig while minimizing any need to modify the radar rig’s already established hardware and software. The resulting system designed used a commercially available joystick and off the shelf single board micro-controllers in combination with a graphical user interface to supply the radar rig with a converted input from the joystick in the form of mouse and keyboard commands, simplifying the end-user experience.<br>Försvarets materielverk tillhandahåller test och evaluering av militära flygsystem. De tillhandahåller även tjänster rörande militära övningar såsom belysning av flygplan med en radar för att öva piloter. Denna radar är monterad i en container och kontrolleras av en styrdator som kör operativsystemet Windows 2000. Denna dator styrs med hjälp av en mus och tangentbord. I denna rapport kommer ett system designas som kan förbättra användarupplevelsen av denna dator samtidigt som förändringar av hårdvara eller mjukvara i styrdatorn undviks. Resultatet av rapporten var ett system bestående av en kommersiellt tillgänglig joystick och två microkontrollers i kombination med ett grafiskt användargränssnitt som omvandlar knapptryck och styrutslag från joysticken till mus och tangentbords kommandon i styrdatorn.
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Sayed, Ahmed M., and Ахмед Саєд. "Educational Game based On Arduino Controller." Bachelor's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2021. http://elartu.tntu.edu.ua/handle/lib/34233.

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In this diploma thesis I learned how to use Arduino board and programe it to make a memory game, games are one of the best ways to learn now a days and it has been recently considered as a electronic sport in many countries, and the main goal of this work is to help people like me with short memory to train their memories in a fun way via mixing learning and playing to bring joy to the learning methods, and simplicity was always the key to many big projects and thoughts.<br>Introduction. 1. Analysis of subject area. 2. Hardware components of educational game. 3. Software of educational game. 4. Occupational safety and health. Conclusions
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Haraldsson, Jonathan, Julia Nordin, and Johanna Blomstedt. "Expressive Arduino Controlled Self-Balancing Robot." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298757.

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A robot capable of balancing itself on two wheels has been built and programmed. While balancing, the robot keeps within a limited area. The robot has a face with two eyes and a mouth, consisting of LED-matrices, which switch between six different facial expressions. The robot is programmed using Arduino boards, one of which implements PID regulators to control the motors.
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Assaad, Michael. "Arduino Based Hybrid MPPT Controller for Wind and Solar." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062827/.

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Renewable power systems are becoming more affordable and provide better options than fossil-fuel generation, for not only the environment, but a benefit of a reduced cost of operation. Methods to optimize charging batteries from renewable technologies is an important subject for off-grid and micro-grids, and is becoming more relevant for larger installations. Overcharging or undercharging the battery can result in failure and reduction of battery life. The Arduino hybrid MPPT controller takes the advantage of solar and wind energy sources by controlling two systems simultaneously. The ability to manage two systems with one controller is better for an overall production of energy, cost, and manageability, at a minor expense of efficiency. The hybrid MPPT uses two synchronous buck DC-DC converters to control both wind and solar. The hybrid MPPT performed at a maximum of 93.6% efficiency, while the individual controller operated at a maximum 97.1% efficiency when working on the bench test. When designing the controller to manage power production from a larger generator, the inductor size was too large due to the frequency provided by the Arduino. A larger inductor means less allowable current to flow before the inductor becomes over saturated, reducing the efficiency of the controller. Utilizing a different microcontroller like the PIC16C63A produces a much faster frequency, which will reduce the inductor size needed and allow more current before over saturation.
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Bista, Dinesh. "Understanding and Design of an Arduino-based PID Controller." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4665.

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This thesis presents research and design of a Proportional, Integral, and Derivative (PID) controller that uses a microcontroller (Arduino) platform. The research part discusses the structure of a PID algorithm with some motivating work already performed with the Arduino-based PID controller from various fields. An inexpensive Arduino-based PID controller designed in the laboratory to control the temperature, consists of hardware parts: Arduino UNO, thermoelectric cooler, and electronic components while the software portion includes C/C++ programming. The PID parameters for a particular controller are found manually. The role of different PID parameters is discussed with the subsequent comparison between different modes of PID controllers. The designed system can effectively measure the temperature with an error of ± 0.6℃ while a stable temperature control with only slight deviation from the desired value (setpoint) is achieved. The designed system and concepts learned from the control system serve in pursuing inexpensive and precise ways to control physical parameters within a desired range in our laboratory.
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Holmberg, Anthony, and Nils Lundqvist. "WoodWinder : MIDI Controlled Recorder." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264499.

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WoodWinder is a machine whose job is to interpret the signal from a Musical Instrument Digital Interface (MIDI) keyboard and make a recorder play accordingly. This was performed by simulating the two human traits needed in order to play the recorder: providing air flow for the mouthpiece and fingers to cover its holes. The air flow was provided by a custom made centrifugal fan and directed through a separation chamber which determined how much air was allowed to travel through the mouthpiece and how much was driven out through an exhaust. The purpose of the separation chamber was to simulate the amplitude of the played tone. The movement of the fingers was enabled by seven servo motors, mounted collaterally to the recorder. All movement was governed by two Arduino Microcontroller Units (MCU), a servo driver and a motor driver. The machine can play any note on demand without hardly any noticeable lag. The two lowest tones D and C were somewhat limited as they produced a distorted sound at high enough velocities. The largest error in accuracy for expected frequencies was around 6Hz.<br>WoodWinder är en maskin vars jobb är att tolka signalen från ett MIDI keyboard och få en blockflöjt att spela efter. Detta utförs genom att simulera de två mänskliga egenskaperna som krävs just för att spela en blockflöjt: förmedla luftflöde till munstycket och fingrar till att täcka hålen. Luftflödet förmedlades via en specialtillverkad centrifugalfläkt och fördes genom en separationskammare som bestämde hur mycket luft som tilläts flöda in i munstycket kontra ut ur en ventil. Detta för att bäst simulera amplituden på tonen som spelades. Fingrarnas rörelse möjliggjordes av sju servomotorer, monterade längs blockflöjten och all rörelse styrdes av två Arduino-mikrokontroller, en servooch en motordrivare. Maskinen kan spela alla tänkta toner utan någon märkbar fördröjning. De två lägsta tonerna D och C blev något begränsade då de, vid högt luftflöde, producerade ett något förvrängt ljud. Det största uppmätta felet i förhållande till förväntade värden var 6Hz.
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Andersen, Ekvall Fritiof, and Nils Winnerholt. "Balancing a Monowheel with a PID controller." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295806.

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This bachelor’s thesis aimed to create a self balancing monowheel, a vehicle type consisting of one wheel, using a PID controller. The wheel is equipped with an accelerometer to gather data about the tilt of the construction, which is then filtered using a Kalman filter. A DC motor is propelling the monowheel forward whereas a stepper motor with a battery pack attached will actively balance the wheel with the help of a PID-controller. This method of balancing had limited success allowing the vehicle to travel for up to 7 seconds before falling over, compared with up to 4 seconds with no balancing implemented.<br>Detta kandidatexamensarbete har målet att skapa ett självbalanserandehjul med hjälp av en PID kontroller tillsammans med en accelerometer vars utsignal filtreras med ett kalman filter. En DC motor driver hjulet frammåt medan en stepper motor med ett batteripack fastsattär den rörliga vikten som balanserar konstruktionen. PID metoden lyckades balansera upp till 7 sekunder vilket är en marginell ökning jämfört med upp till 4 sekunder helt utan aktiv balansering.
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Шишкин, Михаил Анатольевич, та Константин Васильевич Колесник. "Использование аппаратной платформы Arduino для оптимизации алгоритмов обмена телемедицинскими данными". Thesis, Одесский национальный политехнический университет, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/21984.

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Задача обмена телемедицинскими данными в условиях зашумленности сигнала и ограниченной полосы пропускания каналов связи требует использования усложненных алгоритмов обработки при условии сохранения информативных параметров полезного сигнала. Процесс оптимизации таких алгоритмов невозможен без практической их отработки. В этом случае достаточно эффективным является применение универсальных аппаратных платформ, предлагаемых разработчикам, в частности, фирмой Arduino.<br>One problem with the analysis is to determine the parameters of the electrocardiogram QRS-complex. This is especially significant in the case of noise becomes cardio that most often occurs in the functioning of telemedicine systems. The paper proposes a fuzzy system for determining these parameters, as well as the principles of its implementation.
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Books on the topic "Arduino controllers"

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Geddes, Mark. Arduino Project Handbook: 25 Practical Projects to Get You Started. No Starch Press, 2016.

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Wilcher, Donald. Learn Electronics with Arduino. Apress, 2012.

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Monk, Simon. Arduino + Android projects for the evil genius: Control Arduino with your smartphone or tablet. McGraw-Hill, 2011.

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Brian, Evans, ed. Arduino Projects to Save the World. Apress, 2011.

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Altman, Mitch. Arduino Recipes. Wiley & Sons, Incorporated, John, 2020.

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Altman, Mitch. Arduino Recipes. Wiley & Sons, Incorporated, John, 2012.

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Altman, Mitch. Arduino Recipes. Wiley & Sons, Incorporated, John, 2020.

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Edstrom, Brent. Arduino for Musicians: A Complete Guide to Arduino and Teensy Microcontrollers. Oxford University Press, 2016.

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Wilcher, Don. Arduino Electronics Blueprints. Packt Publishing, 2015.

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Shah, Samarth, and Utsav Shah. Arduino BLINK Blueprints. Packt Publishing, Limited, 2016.

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Book chapters on the topic "Arduino controllers"

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Anderson, Rick, and Dan Cervo. "PID Controllers." In Pro Arduino. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-3940-6_7.

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Oliveira, Fábio M., André Rocha, Duarte Alemão, Nelson Freitas, and José Barata. "Asynchronous Communication Between Modular Cyber-Physical Production Systems and Arduino Based Industrial Controllers." In Technological Innovation for Digitalization and Virtualization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07520-9_5.

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Oxer, Jonathan, and Hugh Blemings. "Time-Lapse Camera Controller." In Practical Arduino. Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-2478-5_3.

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Chakrabarty, Soikat, Rupanshu Goyal, and Nitin Rakesh. "Arduino Controlled Chessboard." In Proceedings of First International Conference on Smart System, Innovations and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5828-8_5.

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Pakdel, Majid. "SVC Controller Implementation with Arduino." In Arduino Programming using Simulink. River Publishers, 2025. https://doi.org/10.1201/9788743800828-4.

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Ramos, Enrique, and Ciriaco Castro. "Kinect-Controlled Delta Robot." In Arduino and Kinect Projects. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4168-3_13.

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Castro, Ciriaco. "Kinect Remote-Controlled Vehicles." In Arduino and Kinect Projects. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4168-3_9.

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Knight, Indira. "Creating a Game Controller." In Connecting Arduino to the Web. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3480-8_10.

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Pakdel, Majid. "DVR Controller Programming in Arduino IDE." In Arduino Programming using Simulink. River Publishers, 2025. https://doi.org/10.1201/9788743800828-5.

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Timmis, Harold. "Control and Instrumentation: The Xbox Controller and the LabVIEW Process." In Practical Arduino Engineering. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3886-7_10.

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Conference papers on the topic "Arduino controllers"

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Hanzalík, Matej, and Alena Kozáková. "Algebraic Controllers Design for a Low-cost Arduino-based Experimental Device." In 2025 Cybernetics & Informatics (K&I). IEEE, 2025. https://doi.org/10.1109/ki64036.2025.10916459.

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Shukla, Aditya, Anand Kumar Jha, Shubham Pahal, Vishal Tyagi, and Ajay Solanki. "Fabrication of a Hand Gesture Controlled Wheelchair." In 22nd ISME International Conference on Recent Advances in Mechanical Engineering for Sustainable Development. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-sbheh1.

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Hand-gesture controlled wheelchairs help in providing mobility and safety to individuals with physical disabilities or mobility impairments. In this paper, a wheelchair have been fabricated so that it can be controlled by hand-gestures and move smoothly in all 4 directions. The main focus of our research has been to drive down the cost of such a wheelchair as compared to the ones already available in the market to enable penurious people to afford it. An accelerometer sensor is fitted in the data glove to read the hand movements and the information is conveyed to an Arduino microcontroller using wires. The Arduino board controls the pair of DC wiper motors attached at the rear end on each wheel of the wheelchair. The proposed mechanism has demonstrated precise responsiveness to users' hand gestures during trials.
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Sree, B. Keerthikhaa, K. Mohana Varsha, D. Subbulekshmi, S. Angalaeswari, and T. Deepa. "Design of Hand Gesture Controlled Robot using Arduino." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776877.

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Wen Yin, Shannon Tham, Ramasamy T. Naayagi, and Muhammad Ramadan Saifuddin. "Arduino Controlled Leading-Edge Phase Dimming for Lighting Control System." In 2025 9th International Conference on Green Energy and Applications (ICGEA). IEEE, 2025. https://doi.org/10.1109/icgea64602.2025.11009677.

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Srikanth, K., Shiva Bhargavi K, Vinod Reddy S, Karuppiah Natarajan, Tellapati Anuradha Devi, and Shanmugasundaram Hariharan. "Enhanced Cooling Techniques for Photovoltaic Panels using Arduino-Controlled Water Circulation Systems." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823151.

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D, Merlin C., Darwin A, Gowtham M, and Danushkodi R. "Design of an Home Automation System with Voice Controlled Application using Arduino." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011609.

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Kolesnyk, Kostyantyn, Roman Panchak, Vitalii Pylypenko, Ismail Abliazizov, Oleksandr Fedosyeyev, and Roman Ferens. "Managing robot kinematics based on Arduino controllers using a Unity system." In 2017 XIIIth International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH). IEEE, 2017. http://dx.doi.org/10.1109/memstech.2017.7937529.

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Insuasti, Sebastian, Jose Luis Paredes, and Oscar Camacho. "Controllers and Compensators Design for Undergraduate Control Students: Testing with TCLab Arduino kit." In 2022 IEEE Sixth Ecuador Technical Chapters Meeting (ETCM). IEEE, 2022. http://dx.doi.org/10.1109/etcm56276.2022.9935740.

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G. Cardoso, Victor, Jessica T. Barros, Renata T. Tavares, and Pedro M. G. del Foyo. "A Closed Design Cycle To Embedded Low-Cost Automation Based In Micro-Controllers." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1267.

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In this paper a Discrete Event Systems approach is used to design embedded systems, implemented using a commercial low-cost platform based on a single-board micro-controller. The approach uses Time Petri Nets (TPN) to build the system model and a model-checking tool to perform the formal verication and to support the embedded system code generation. The method was applied to design an automated sorting machine using the Arduino platform as programming device.
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Park, Sangmin, Hojun Aan, Junhyeong Jo, et al. "A-Visor and A-Camera: Arduino-based Cardboard Head-Mounted Controllers for VR Games." In 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2021. http://dx.doi.org/10.1109/vrw52623.2021.00099.

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Reports on the topic "Arduino controllers"

1

Spietz, Lafe. MEMSDuino: An Arduino-Based MEMS Switch Controller. National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.tn.2335.

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Claus, Ana, Borzooye Jafarizadeh, Azmal Huda Chowdhury, Neziah Pala, and Chunlei Wang. Testbed for Pressure Sensors. Florida International University, 2021. http://dx.doi.org/10.25148/mmeurs.009771.

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Currently, several studies and experiments are being done to create a new generation of ultra-low-power wearable sensors. For instance, our group is currently working towards the development of a high-performance flexible pressure sensor. However, with the creation of new sensors, a need for a standard test method is necessary. Therefore, we opted to create a standardized testbed to evaluate the pressure applied to sensors. A pulse wave is generated when the heart pumps blood causing a change in the volume of the blood vessel. In order to eliminate the need of human subjects when testing pressure sensors, we utilized polymeric material, which mimics human flesh. The goal is to simulate human pulse by pumping air into a polymeric pocket which s deformed. The project is realized by stepper motor and controlled with an Arduino board. Furthermore, this device has the ability to simulate pulse wave form with different frequencies. This in turn allows us to simulate conditions such as bradycardia, tachycardia, systolic pressure, and diastolic pressure.
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