8,959 results

This simulation shows variable torque on a DC machine

Three phase controlled rectifier is used to control the speed of DC motor

This simulation is properly working only in MATLAB 2017 and higher version of MATLAB

This simulation is usefull to understand the Armature contorl of DC machine for close loop system. I hope it is very helpfull to you. Thank you...

This simulation is properly working only in MATLAB 2017 and higher version of MATLAB

This simulation is usefull to understand the speed control of DC motor using AC to DC converter.I hope it is very helpfull to you. Thank you....

Continuous conduction mode of operation of DC Machine using half wave thyristor controlled rectifier.

Implementation of elliptic fourier for shape analysis.

output is [an bn cn dn]5) [A0, C0] = calc_dc_components(ai)This function will calculate the bias coefficients A0 and C0.6) output = calc_traversal_dist(ai)Traversal distance is defined as accumulated

How to create and train a V-Net neural network and perform semantic segmentation of lung tumors from 3-D medical images

Deep Learning is powerful approach to segment complex medical image. This example shows how to create, train and evaluate a V-Net network to perform 3-D lung tumor segmentation from 3-D medical

Control Scheme for DC Machine with back-propagation: robustness modeling, uncertainties detection, c

Control system for DC machine with current back-propagation and two levels of excitation is using in wide area of applications. It developed for modeling of robustness in power circuit of electrical

Simscape Labs and Lab Assignments for Three-Phase Systems, Transformers, DC Series and Shunt Motors, Synchronous Generator

. The topics normally covered are:Three-Phase circuits and power systemsSingle and Three-Phase TransformersDC Motors and GeneratorsSynchronous Motors and GeneratorsInduction MotorsThe power course

C Code Integration in MATLAB and Simulink to Control an External Interface.

Wind Turbine Connected DC Machine

PI Speed Control for DC machine

PI Speed Control for DC machine

Speed control of separately excited DC Machine

Speed control of separately excited DC Machine. simulated with R2016a

Performs speed control of separately excited dc motor using dc-dc converter

Simulates a single-phase fully controlled rectifier feeding a doubly excited DC machine in MATLAB/Simulink with controllable DC output.

This MATLAB/Simulink model demonstrates a single-phase fully controlled rectifier feeding a doubly excited DC machine. The rectifier allows precise control of the DC voltage and current supplied to

Induction motor driven by DC machine Power factor correction

Induction motor driven by DC machinePower factor correction

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This simulation is properly working only in MATLAB 2017 and higher version of MATLAB

This simulation is useful to understand the Regenerative Braking of DC machine.I hope it is very helpful to you.Thank you....

Biplot function that can plot scores in multiple groups with different formats

Example on building a deep learning model to classify positive or negative Tweets.

This example demonstrates how to build a deep learning model in MATLAB to classify the sentiment of Tweets as positive or negative. This also includes an example of reading data from the Twitter API

This model includes the simulated effects of various batteries being charged and drained using a dc machan similar to an Ev scenario.

This simulated model can charge and discharge a battery simply by using the switch provided, and the dc machine will serve as both a motor and a generator by using the switch provided. and a few more

This simulation is properly working only in MATLAB 2017 and higher version of MATLAB

This simulation is useful to understand the Dynamic Braking of DC Machine using variable Resistors.I hope it is very helpful to you.Thank you....

Field Oriented control of Induction Motor

Field-oriented control (FOC) was developed in the early 1970s and made it feasible to control the induction motor as a separately excited DC motor (Barambones and Alkorta, 2011). Field-oriented

induction machine tests DC test, No load test, Blocked Rotor Test

HOW IT WORKS USING A DC MACHINE ,CHOPPER FED METHOD OF CONTROLLING A DC MOTOR

In this Simulink model a single-phase full bridge phase-controlled rectifier feeding a DC Machine with constant load torque.

of 230V rms with fundamental frequency of 50Hz. The armature of DC motor is getting input from the rectifier. I have used preset model 01 DC motor with specification 240V 5HP 1750 RPM Field:300V. For

This is a model comparing the performance of the droop and virtual synchronous machine grid forming control.

1. DescriptionThe model consists of a 5 MW converter connected to an infinite bus behind and impedance. The converter is fed by a 2000 V dc voltage source. The impedance to the grid can be

This MATLAB file includes a photovoltaic (PV) array, DC-DC converter, inverter, LC filter, and grid connection.

Verify and test robustness of deep learning networks, deploy with confidence

AI Verification Library for Deep Learning Toolbox allows you to verify and test properties of deep learning networks, and deploy these models with confidence.Use this library to:Verify network

This project is a speed control for a Shunt DC motor using a single PI controller. Created by a Matlab 2016b. Course Machine Drive Level 1.

This project is a speed control for a Shunt DC motor using a single PI controller.Created by a Matlab 2016b.Course Machine Drive Level 1.This project is needed to be completed, as a student

A machine learning application is recommended to diagnose the refrigerant undercharge and refrigerant overcharge faults

Main file in the Feature Selection folder. Select one of the PCA and Relief methods here.3. Run the Main program in the Machine Learning folder to get your final dataset into four different machine

Y= Sum(Wi*Xi)+b

Matlab Dynamics and Control course with Live Scripts and the Temperature Control Lab

Pattern Recognition and Machine Learning Toolbox

This package is a Matlab implementation of the algorithms described in the book: Pattern Recognition and Machine Learning by C. Bishop (PRML).The repo for this package is located at

This script demonstrates creating and training an encoder-decoder model using random overlapping image patches.

use of overlapping patches helps in reconstructing the full image during the prediction stage. This approach exemplifies how a deep learning model can be trained for the challenging task of converting

Export MATLAB machine learning models to the Predictive Modelling Markup Language (PMML) format and deploy a PMML server on MPS

The Predictive Modelling Markup Language (PMML) format is an XML format that can be used todefine how a machine learning model should calculate predictions on new data. This repository provides

Neural Network Toolbox Model for ResNet-18 Network

Import and export ONNX™ models within MATLAB for interoperability with other deep learning frameworks

Import and export ONNX™ (Open Neural Network Exchange) models within MATLAB for interoperability with other deep learning frameworks. To import an ONNX network in MATLAB, please refer to

induction motor experiences unbalanced input voltages or loads, which can have significant effects on the performance of both machines.

in weak grids or during faults.Unbalanced Mechanical or Electrical Load on the DC GeneratorMechanical load on the shaft may not be uniform.Uneven or fluctuating DC load affects the shaft torque

Optimize deep learning models with efficient compression techniques

Deep Learning Toolbox Model Compression Library enables compression of your deep learning models with pruning, projection, and quantization to reduce their memory footprint and computational

Pretrained AlexNet network model for image classification

Use MATLAB Coder to generate C and C++ code for deep learning networks

toolboxes.With MATLAB Coder or Simulink Coder, MATLAB Coder Interface for Deep Learning provides the ability to generate generic, target-independent C/C++ code for deep learning networks. You can deploy a variety

This function removes out the limitation of MATLAB SVM function of two class and uses more classes.

Analysis of a predictive controller for the speed of a DC motor

The work presented in this report deals with a topic related to the "Analysis of a predictive controller for the speed of a DC motor "; first of all, we have achieved the modeling of the DC motor. We

Analysis of a quadratic linear control for controlling the speed of a dc machine

Pretrained ResNet-50 network model for image classification

This example shows how to design a DC/DC Buck Converter controller

This example shows how to design a DC/DC Buck Converter controller with the Embedded Coder Support Package for TI^® C2000 Processors and run it on the TI^® F28377S Launchpad (LAUNCHXL-F28377S

Connect MATLAB to Ollama™ (for local LLMs), OpenAI^® Chat Completions API (which powers ChatGPT™), and Azure^® OpenAI Services

?repo=matlab-deep-learning/llms-with-matlab) [![View Large Language Models (LLMs) with MATLAB on File

Use GPU Coder to generate optimized CUDA code for deep learning networks

GPU Coder generates optimized CUDA code from MATLAB code and Simulink models for deep learning, embedded vision, and autonomous systems. You can deploy a variety of pretrained deep learning networks

Pretrained GoogLeNet network model for image classification

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.

Jx-MLT : A Machine Learning Toolbox for Classification

Basic DC-DC converters in form of circuits

The modeling of basic DC-DC converters (buck, boost and buck-boost) using fundamentals of power electronics and circuit simulation. Circuit simulations for these models are executed using the MATLAB

Virtual labs for DC circuit analysis.

# DC Circuit Analysis[![View on File

Support package for a Universal macOS AI desktop agent

A desktop AI app can be superpowered to serve as a agentic AI assistant for your interactions with all local applications and with remote websites and data sources as described in A universal agentic

Model-Based Design of a DCDC Converter using Simulink, Simscape and Stateflow

webinar, you can take a look for further explanations:https://ch.mathworks.com/videos/series/how-to-develop-dc-dc-converter-control-in-simulink.htmlIt is strongly reccomended to complete following free

Dynamic models of DC motors, (1) separately excited, (2) permanent magnet, (3) shunt-connected and (4) series-connected DC motors.

, the block diagram representation and Simscape based models. The two modelling methods were validated against the built-in DC machine model. The proposed models are easy to use and modify, and allow all

Interactive courseware module that addresses the theory behind multiple clustering methods and how to apply them to real data sets.

# Machine Learning Methods: Clustering[![View on File

Modeling of Dc motor is demonstrated

Dc motor is simulation is needed to design a real time machine. Here the DC motor is simulated for a separately excited machine.The data for the machine input is take from Electrical Drives, G.K

SimPowerSystems model of the IEEE 39-bus system, known as the 10-machine New-England Power System

Import and export TensorFlow models within MATLAB