DC Servo Motor Research Articles

Design of an Automatic Trash Can Wheel Robot with Bluetooth Navigation Control Through Smartphone Application

Environmental cleanliness is an important aspect that must be maintained, especially in this modern era. The use of appropriate technology can help increase awareness of cleanliness, one of which is by developing automatic trash cans. This research designs and builds a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller using Bluetooth and controlled via a smartphone application. This research designs a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller with Bluetooth and a smartphone application. The system receives navigation commands from the app and uses ultrasonic sensors to detect objects in front of the trash can. The microcontroller processes the command and sensor data to drive the DC motor and servo motor. The servo motor opens and closes the trash can lid automatically when an object is detected at a certain distance. The test results show that this robot can move according to instructions from a smartphone and successfully open and close the trash can lid automatically when detecting objects.

Intelligent iPD control estimation of Hardware in-the-Loop generated dynamics

We are concerned here by the study of explicit ultra-local model approximation in the context of model free intelligent Proportional Derivative (iPD) control, which to our knowledge has not been reported in the available control literature. The unmodeled dynamics estimation is approximated by integrals reducing real-time system measurements noise in the control loop and implemented using a Finite Impulse Response (FIR) digital filter. Hardware-in-the-Loop (HIL) perturbation load generated dynamics are used in an iPD control scheme exhibiting the unknown dynamics approximation. We use two DC servo motors interconnected by their shafts. The first DC servo motor is controlled by the proposed feedback-based iPD controller whereas the second DC servomotor is used as a programmable torque load to the controlled DC servo motor. Using HIL testing we can generate desired load torques directly showing how the iPD controller approximates HIL generated perturbations. For the proposed control iPD scheme, we present both computer-based simulation and experimental real-time control results.

Robotic Bartender Control Using DC and Servo Motor withThe Aid of Rectifier as Power Source

The studyfocuseson building a design and implement of robotic bartender with rectifier power source and embedded with volt-amp display to monitor supply voltage and load current. The usage of robotic bartender in the market make ease to the worker staff in food and beverage industries so that they can prepare drinks to customer in shortof time. For this paper, the design of robotic bartender is constructed using 3D printed components and use Arduino UNO as microcontroller to control input signal of rotary encoder and switches to commodore DC Motor rotation and servo motor deflection. The prototype of robotic bartender will be constructed, programmed with C language, tested with Proteus simulation software and hardware will be tested by using tachometer laboratory equipment for speed testing. Lastly the overall system is powered by rectifier with embedded volt-amp display for convenient use. Ironically the development of robotic bartender hardware is to fulfil two objectives which are to propose a new model of robotic bartender compatible with DC motor and servo motor and objective two to design and assemble rectifier circuit power supply with embedded volt-amp display meter to energize motor load

Event-Triggered Sliding Mode Control Versus Time-Triggered Sliding Mode Control: A Comparative Study

unlike continuously triggered techniques, event-triggered strategies update the control actions based on specific conditions. Consequently, the energy consumption will be reduced while maintaining performance and stability. Compared to the traditional (periodic) implementation of SMC, event-triggered sliding mode controller (ET-SMC) requires 101 control action modifications, 33.9 % less than periodic SMC implementation. The proposed triggering rule technique is shown to be feasible and closed-loop stable. A positive lower bound for inter-event execution time prevents Zeno-type behavior. The mathematical model of a linear time invariant system which is chosen to be a Direct Current servo motor (DC servo motor) is simulated to show the advantages of the recommended technique over conventional sliding mode technique. The Direct Current servo motor (DC servo motor) is chosen as the mathematical model of a linear time invariant system which simulated to show the advantages of the recommended technique over conventional sliding mode technique. Index Terms— Event control, Triggered control, Sliding mode, Event triggered control, Aperiodic control, DC servo motor.

A new finite-time tracking strategy for DC motor servo system and its application in vehicle active steering

A new finite-time tracking strategy for DC motor servo system and its application in vehicle active steering

Automatic Pet Feeder Using Assistant

Nowadays most of us fascinated to have pets at their home. But these pets have to be taken care properly. Their feeding on time is an important task as they become part of our family. But in our busy schedule we fail to pay attention on our pet thus it doesn’t get proper food on time. This paper addresses the above issue by introducing an Automatic Pet Feeding System to ensure feeding pet on frequent interval of time. In our project we used two methods to feed the Pet, one is by Camera and another by using Google Assistant. When the DC servo motor runs, the motor rotates the propeller which is in the feeding device, which drops down pet food through the pipe into perforated feeding bowl. The water pump will be kept in a tank containing water. When the water pump runs, the water is pumped into the water bowl of pet. The user in order to feed their pet have to give a command on their Smart Phones such as “Okay Google”, “Feed my Pet”, with the help of this command the machine will do its following work. The user can also specify the time to feed their pet on schedule using Google Assistant

Two photon imaging probe with highly efficient autofluorescence collection at high scattering and deep imaging conditions

In this paper, we present a 2-photon imaging probe system featuring a novel fluorescence collection method with improved and reliable efficiency. The system aims to miniaturize the potential of 2-photon imaging in the metabolic and morphological characterization of cervical tissue at sub-micron resolution over large imaging depths into a flexible and clinically viable platform towards the early detection of cancers. Clinical implementation of such a probe system is challenging due to inherently low levels of autofluorescence, particularly when imaging deep in highly scattering tissues. For an efficient collection of fluorescence signals, our probe employs 12 0.5 NA collection fibers arranged around a miniaturized excitation objective. By bending and terminating a multitude of collection fibers at a specific angle, we increase collection area and directivity significantly. Positioning of these fibers allows the collection of fluorescence photons scattered away from their ballistic trajectory multiple times, which offers a system collection efficiency of 4%, which is 55% of what our bench-top microscope with 0.75 NA objective achieves. We demonstrate that the collection efficiency is largely maintained even at high scattering conditions and high imaging depths. Radial symmetry of arrangement maintains uniformity of collection efficiency across the whole FOV. Additionally, our probe can image at different tissue depths via axial actuation by a dc servo motor, allowing depth dependent tissue characterization. We designed our probe to perform imaging at 775 nm, targeting 2-photon autofluorescence from NAD(P)H and FAD molecules, which are often used in metabolic tissue characterization. An air core photonic bandgap fiber delivers laser pulses of 100 fs duration to the sample. A miniaturized objective designed with commercially available lenses of 3 mm diameter focuses the laser beam on tissue, attaining lateral and axial imaging resolutions of 0.66 µm and 4.65 µm, respectively. Characterization results verify that our probe achieves collection efficiency comparable to our optimized bench-top 2-photon imaging microscope, minimally affected by imaging depth and radial positioning. We validate autofluorescence imaging capability with excised porcine vocal fold tissue samples. Images with 120 µm FOV and 0.33 µm pixel sizes collected at 2 fps confirm that the 300 µm imaging depth was achieved.

ALAT PERAGA ELEKTRONIK BERBASIS ARDUINO DENGAN KELUARAN CAHAYA DAN SUARA UNTUK PENGENALAN WARNA BAGI BALITA

Recognizing the color of an object is a basic thing that must be taught to toddlers. This research aims to design and realize a color recognition teaching aids for toddlers, designed using an electronic device based on an Arduino Uno microcontroller with output in the form of audio sound and light. This tool consists of: an object in the form of a colorful plastic ball, an input device in the form of a TCS230 color sensor, a processing and controlling device in the form of an Arduino Uno microcontroller, and output devices in the form of a DC servo motor, RGB LED strip, and loudspeaker. Based on the results of measurements and tests that have been carried out, the Arduino Uno microcontroller can function to control all input and output devices. The TCS230 color sensor successfully detected the color pixel value (RGB) of the object, and issued wavelength information in the form of frequency quantities. The DC servo motor can move to direct the object to the mouth of the slide pipe. The loudspeaker can produce audio sounds according to the name of the object's color. RGB LED strips can emit light according to the color of the object. Overall, the results of the design and realization, measurement and testing of color recognition teaching aids for toddlers are in accordance with what was planned.

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

Results on Ulam‐type stability of linear differential equation with integral transform

The main theme of this study is to implement the Sumudu integral transform technique to solve the stability problem of linear differential equations. Another important aspect of this paper is to investigate the Ulam–Hyers and Ulam–Hyers–JRassias stability of linear differential equations by using Sumudu transform method. Further, the results are extended to the Mittag‐Leffler–Ulam–Hyers and Mittag‐Leffler–Ulam–Hyers–JRassias stability of these differential equations. As an application point of view, the Sumudu transform is used to find Ulam stabilities of differential equations arising in field‐controlled DC servo motor with position control.

Synchronization and Consensus of a Group of Direct Current Servo Motors Using the Differential Flatness Control Approach

This article deals with a differential flatness control leader-follower for a group of DC servo motors. Graph theory uses to design the form of connection and communication between servo motors. Each servo motor includes an integral action in its local control. In contrast, the input control law of the leader incorporates the speed desired reference trajectory, which will track each servo motor connected to the leader. The speed desired reference trajectory build employing a high-order Bezier polynomial-the experimental setup using the dSPACE equipment DS1104 model. The experimental results show the effectiveness and robustness of the synchronization and consensus of the control based on the differential flatness property for the group of DC servomotors.

Integrasi Termometer dalam Otomatisasi Hand Sanitizer Berbasis Arduino Uno

Every day-to-day activity the hands are often contaminated with viruses, so the hands intermediary the entry of viruses into the body that cause a disease. One of the efforts to prevent or reduce the spread of the Covid-19 Virus is to wash their hands more diligently, but it is not uncommon for someone to ignore it by washing their hands. So an automatic Hand Sanitizer tool was designed which is equipped with an automatic body temperature check, using the LM35 temperature sensor as a body temperature detector, a DC Servo Motor drive as a pressure giver to the Hand Sanitizer, as well as using a Solenoid door lock to lock the door and Arduino UNO as the microcontroller for its control with the display on this LCD aims to reduce the spread of the Covid-19 Virus by checking human body temperature and washing hands with Hand Sanitizer automatically and creating an integrated system of automatic doors, washing hands, and automatic doors to prevent the spread of the corona virus by checking body temperature using an LM35 sensor. If a person's body temperature is below 37 oC then the Hand Sanitizer will automatically release liquid, then the door lock solenoid door lock will activate and the door lock will open.

Optimum PID Controller with Fuzzy Self-Tuning for DC Servo Motor

DC motors are simple and controllable, making them a popular choice for various applications. However, the speed and load characteristics of DC motors can change, making it difficult to control them effectively. This paper proposes an optimum PID controller with fuzzy self-tuning for DC servo motors. The controller uses two steps to adjust the PID gains: The ACS algorithm is employed to identify the optimal PID gains in the first step. A fuzzy logic (FLC) controller is employed in the second stage to further fine-tune the gains. The FLC considers two cost functions: the first function is the sum of the squares of the error between the controlled output and reference input. The second function is a mathematical expression that specifies the required characteristics of the system response. The fuzzy self-tune then uses a set of rules to adjust the PID gains in response to changes in the system. The rules are based on the two cost functions designed to maintain the optimum PID gains for various operating settings. The outcomes of the two functions are: Kp = 5.2381, Ki = 7.0427, and Kd = 0.49468, with rising time = 0.2503, overshoot = 2.5079, and settling time = 10.4824 in the first cost function. The second cost function outcomes are Kp = 8.1381; Ki = 8.6427; and Kd = 0.49468. The FST-PID controller's performance is evaluated using Matlab-Simulink. The proposed controller was tested on a DC servo motor, and the results showed good performance in both steady-state and transient responses. The controller also maintained the optimum PID gains in the event of changes or disturbances. So, the motor's speed can effectively control under a variety of conditions.

Design and Implementation of Robotic Arm for Pick and Place by using Bluetooth Technology

In today's age of advanced computing, robots are far more reliable than humans when it comes to doing hazardous jobs. Earlier iterations of robotics required human interaction, but recent advancements in wireless technology have made it possible to operate robots wirelessly, via Bluetooth, for example. The robot in this papercan be operated wirelessly through Bluetooth. An android app coupled with a microcontroller performs the necessary functions. Bluetooth is used to establish a link between the smartphone app and the car. The user operates the robot using buttons on the app. The robot can move thanks to two dc servo motors that are linked to a microcontroller on the receiving end. For the wireless RF transmitter to reach the robot, it must first transform the Bluetooth orders into digital signals.The data is received by the receiver, where it is decoded, and sent on to the microcontroller, which in turn controls the DC motors to perform the required action. The purpose of this studyis to develop and deploy a low-priced, adaptable, and secure Bluetooth-controlled robotic vehicle capable of carrying out the user's specified tasks. Bluetooth has several benefits as an interface medium. To begin, you won't need any special instruction to use this technology. Second, if services were simplified, more people would use them, and those with a wider range of impairments would be able to use the same tools as everyone else.

Design and Implementation of No Load, Constant and Variable Load for DC Servo Motor

Simulations were conducted to improve and design an appropriate control system and obtain a model with the required development to suit the operation of the engine with constant and variable loads, which are the proposed working conditions that are suitable for many applications. The current simulation aims to build and design a model for an electric motor (DC Servo motor) and a model for a conventional controller (PID). The proposed model addresses the cases of fixed and variable loads in terms of using the controller that improves the performance of the motor’s work for different conditions. Three cases were developed to conduct the proposed tests, which included the case of no-load, fixed and variable load. Tests were conducted. Without the console and for the purpose of comparison and observation of improvement, the test was conducted with the addition of the console. The results showed system performance may improve depending on usage using traditional control systems. Performance measurement criteria are adopted for the purpose of comparison and observation of performance improvement. The criteria that are adopted are rise time and stability (steady state) in addition to the ratio of the rate of under and over-shoot. Where it can be deduced from this the possibility of using different control systems, including traditional ones, to improve performance, and they include controlling the speed of the motors, as well as controlling the effort, and the consequent effects on the subject of the study, as it deals with transient cases and changing operating conditions with more than acceptable efficiency and relatively high quality. There are four state simulation include, 1st at no load without controller: rise time equal 309.886ms , overshoot equal 44.203% and undershoot equal 9.597%.2nd at load without controller: rise time equal 216.319ms , overshoot equal 58.654% and undershoot equal 0.210%.3rd at no load with PID controller: rise time equal 1.177s , overshoot equal 0.505% and undershoot equal 1.914%.4th at load with PID controller: rise time equal 1.112s , overshoot equal 0.509% and undershoot equal 5.856%.

Satellite Tracking Control System Using Optimal Variable Coefficients Controllers Based on Evolutionary Optimization Techniques

Satellite tracking control system is mechanism that redirects the parabolic antenna to the chosen satellite automatically. It perfectly tracks the satellite as it spins across the sky in its orbit. To maintain a continuous communication signal throughout multiple satellite tracking missions, the tracking process must be fast and smooth, with minimal deviations from the target position. Various controller models have been presented over time to address the problem of antenna positioning in satellite systems and to track moveable targets using servomechanism. The purpose of this study is to describe and debate a satellite tracking control system based on a DC servo motor. For optimal tuning of Proportional-Integral-Derivative (PID), Fractional Order PID (FOPID) and Variable Coefficient Fractional Order PID (V-FOPID) controllers that were used in satellite control system, Particle Swarm Optimization (PSO), Gravitational Search Algorithm with Particle Swarm Optimization (GSA-PSO) and Eagle Strategy with Particle Swarm Optimization (ES-PSO) techniques were proposed. Dynamic Performance Indices Based Objective Functions is used to compute the Performance Index. Furthermore, Self-Tuning Fuzzy FOPID (STF-FOPID) is proposed for satellite tracking control system. The system's response is analyzed, and the outcomes of various control strategies are measured and compared to others. The obtained results implies that Variable Coefficient Fractional Order PID controller tuned using Eagle Strategy with Particle Swarm Optimization can precisely trace the desired position with the fastest settling time and free overshoot when compared to other control strategies.

Sliding Mode Control for a Non Linear 2 DoF Torsion System

2 Degree of Freedom(DoF) torsion system can be used to demonstrate the torsional dynamics and the effect of flexible coupling between the actuator and the load encountered in real world control applications. In this work non linear dynamics of a 2 DoF torsion system is considered and Sliding Mode Controller(SMC) is designed for controlling the angular position of the rotational load of the system. The plant consists of a rotary servo-base unit which includes a DC servomotor in a cubic solid aluminium frame to which the gear train is attached. Its horizontal shaft will rotate the flexible coupling attached to the rotational load. Multiple torsional loads can be attached to the rotary servo-base unit. In this work, two torsional loads are attached to the rotary base unit and hence called 2 DoF torsion system. The angular position of the flexible load is to be controlled by applying the control voltage to armature of the DC servomotor in order to produce the required torque. Effectiveness of the controller has been achieved from the simulation result.

Static anti-windup compensator design for locally Lipschitz systems under input and output delays.

This paper proposes a static anti-windup compensator (AWC) design methodology for the locally Lipschitz nonlinear systems, containing time-varying interval delays in input and output of the system in the presence of actuator saturation. Static AWC design is proposed for the systems by considering a delay-range-dependent methodology to consider less conservative delay bounds. The approach has been developed by utilizing an improved Lyapunov-Krasovskii functional, locally Lipschitz nonlinearity property, delay-interval, delay derivative upper bound, local sector condition, L2 gain reduction from exogenous input to exogenous output, improved Wirtinger inequality, additive time-varying delays, and convex optimization algorithms to obtain convex conditions for AWC gain calculations. In contrast to the existing results, the present work considers both input and output delays for the AWC design (along with their combined additive effect) and deals with a more generic locally Lipschitz class of nonlinear systems. The effectiveness of the proposed methodology is demonstrated via simulations for a nonlinear DC servo motor system, possessing multiple time-delays, dynamic nonlinearity and actuator constraints.

RANCANG BANGUN SISTEM KONTROL MOTOR LISTRIK BERBASIS RASPBERRY PI

This study will develop and execute control of DC motors and servo motors on a 4WD robot controlled by a keypad and equipped with grippers and a USB webcam to broadcast video so that the gripper robot vehicle can view items in front of it. Control actions were implemented using Python-based user defined programming on a Raspberry Pi 4 with motor driver controller. The challenge described in this article is how to optimize a tool design utilizing a driver loaded directly on an SBC. The goal of this study is to create technical ideas in the area of electric motor control and mechatronics in the form of applications. The design, production, and testing stages are followed utilizing the Raspberry Pi, RPi Motor Driver Board, and Python as the major components. The study's findings include a prototype wheeled robot with a camera for image capture and an actuator in the form of a servo motor with a gripper/clamp as an attachment. The study's conclusion is that the design outcomes of electric motor control utilizing Raspberry Pi-based can perform more efficiently.

Simulation Model of PID Controller for DC Servo Motor at Variable and Constant Speed by Using MATLAB

The current simulation is conducted in order to develop an appropriate design for the control systems and control the speed of the electric motor. To obtain the appropriate and required design, work is carried out for two cases, a constant speed and the other case at variable speed in different conditions for operation of dc servo motor, these conditions include rotating in a clockwise direction, break and returns rotating in the opposite clockwise direction. Through the proposed working conditions, it is possible to obtain the best values for the parameters of the control unit that improve the working performance of dc servo motor, which were shown by the simulation results and their values were kp =5, ki=3 and kd=5 for PID controller. Which changed the system response speed, rise time and the upper and lower bypass ratio at acceptable rates and ratios to prove an improvement procedure in the work of the electric motor.