Neural Network Controller for DC Motor Using MATLAB Application

Neural Network Controller for DC Motor Using MATLAB Application
Author: Norazlina Ab. Rahman
Publisher:
Total Pages: 66
Release: 2008
Genre: Electric currents, Direct
ISBN:

The purpose of this study is to control the speed of direct current (DC) motor with Artificial Neural Network (ANN) controller using MATLAB application. The Artificial Neural Network Controller will be design and must be tune, so the comparison between simulation result and experimental result can be made. The scopes includes the simulation and modeling of direct current (DC) motor, implementation of Artificial Neural Network Controller into actual DC motor and comparison of MATLAB simulation result with the experimental result. This research was about introducing the new ability of in estimating speed and controlling the permanent magnet direct current (PMDC) motor. In this project, ANN Controller will be used to control the speed of DC motor. The ANN Controller will be programmed to control the speed of DC motor at certain speed level. The data from ANN Controller is sent to the DC motor through an interface circuit or a medium called DAQ card. The sensor will be used to detect the speed of motor. Then, the result from sensor is fed back to ANN Controller to find the comparison between the desired output and measured output.

DC Motor Speed Control with the Precence of Input Disturbance using Neural Network Based Model Reference and Predictive Controllers

DC Motor Speed Control with the Precence of Input Disturbance using Neural Network Based Model Reference and Predictive Controllers
Author: Mustefa Jibril
Publisher: GRIN Verlag
Total Pages:
Release: 2020-05-11
Genre: Computers
ISBN: 3346164179

Academic Paper from the year 2020 in the subject Computer Science - Miscellaneous, , language: English, abstract: In this paper we describe a technical system for DC motor speed control. The speed of DC motor is controlled using Neural Network Based Model Reference and Predictive controllers with the use of Matlab/Simulink. The analysis of the DC motor is done with and without input side Torque disturbance input and the simulation results obtained by comparing the desired and actual speed of the DC motor using random reference and sinusoidal speed inputs for the DC motor with Model Reference and Predictive controllers. The DC motor with Model Reference controller shows almost the actual speed is the same as the desired speed with a good performance than the DC motor with Predictive controller for the system with and without input side disturbance. Finally the comparative simulation result prove the effectiveness of the DC motor with Model Reference controller.

International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions

International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions
Author: Álvaro Herrero
Publisher: Springer Science & Business Media
Total Pages: 557
Release: 2012-08-23
Genre: Technology & Engineering
ISBN: 3642330185

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2012 and ICEUTE 2012, both conferences held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. CISIS aims to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2012 International Program Committee selected 30 papers which are published in these conference proceedings achieving an acceptance rate of 40%. In the case of ICEUTE 2012, the International Program Committee selected 4 papers which are published in these conference proceedings. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the CISIS and ICEUTE conferences would not exist without their help.

MATLAB Applications in Engineering

MATLAB Applications in Engineering
Author: Constantin Volosencu
Publisher: BoD – Books on Demand
Total Pages: 120
Release: 2022-02-02
Genre: Computers
ISBN: 1839628766

The book presents a comprehensive overview of MATLAB and Simulink programming. Chapters discuss MATLAB programming for practical usages in mesosphere–stratosphere–troposphere (MST) radars, geometric segmentation, Bluetooth applications, and control of electric drives. The published examples highlight the capabilities of MATLAB programming in the fields of mathematical modeling, algorithmic development, data acquisition, time simulation, and testing.

Speed Control of Brushless DC Motor by Neural Network PID Controller

Speed Control of Brushless DC Motor by Neural Network PID Controller
Author: Amandeep Gill
Publisher: LAP Lambert Academic Publishing
Total Pages: 92
Release: 2013
Genre:
ISBN: 9783659397660

The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers.

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
Author: Chitra A.
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-07-10
Genre: Computers
ISBN: 1119682010

Electric vehicles/hybrid electric vehicles (EV/HEV) commercialization is still a challenge in industries in terms of performance and cost. The performance along with cost reduction are two tradeoffs which need to be researched to arrive at an optimal solution. This book focuses on the convergence of various technologies involved in EV/HEV. The book brings together the research that is being carried out in the field of EV/HEV whose leading role is by optimization techniques with artificial intelligence (AI). Other featured research includes green drive schemes which involve the possible renewable energy sources integration to develop eco-friendly green vehicles, as well as Internet of Things (IoT)-based techniques for EV/HEVs. Electric vehicle research involves multi-disciplinary expertise from electrical, electronics, mechanical engineering and computer science. Consequently, this book serves as a point of convergence wherein all these domains are addressed and merged and will serve as a potential resource for industrialists and researchers working in the domain of electric vehicles.

Neural Network Control Of Robot Manipulators And Non-Linear Systems

Neural Network Control Of Robot Manipulators And Non-Linear Systems
Author: F W Lewis
Publisher: CRC Press
Total Pages: 468
Release: 2020-08-14
Genre: Technology & Engineering
ISBN: 100016277X

There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.