Intelligent Electrical Systems:
eBook - ePub

Intelligent Electrical Systems:

A Step towards Smarter Earth

  1. 346 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Electrical Systems:

A Step towards Smarter Earth

About this book

The conference aims to provide a premier platform for Engineers, researchers, scientists and academicians to present their work in the emerging areas such as Renewable Energy, Energy storage, Power Electronics & drives, Smart devices and communication systems, Artificial Intelligence, Robotics, Networks an IoT, Control and automation etc.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Intelligent Electrical Systems: by Satyajit Chakrabarti, Ayan Kumar Panja, Amartya Mukherjee, Arun Kr. Bar, Satyajit Chakrabarti,Ayan Kumar Panja,Amartya Mukherjee,Arun Kr. Bar in PDF and/or ePUB format, as well as other popular books in Tecnologia e ingegneria & Ingegneria elettronica e telecomunicazioni. We have over one million books available in our catalogue for you to explore.

CHAPTER 1

Design of One Adaptive Controller for a Dynamic Framework with Non-linear Parameterisation

Samiran Maiti1 and Achintya Das2

1 Department of ECE, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata-741249, India.
2 Department of ECE, Kalyani Government Engineering College, Kalyani, Nadia, West Bengal, Kalyani-741235, India.
1[email protected], 2[email protected]
ABSTRACT: This chapter represents a technique to design an adaptive controller for a non-linearly parameterised framework with obscure parameters. Contingent upon the variation of parameters such as lump inertia, rubbing coefficients, and a technique has been utilised to devise a versatile control for a non-linear system. Further, stability of the framework is guaranteed by reasonably choosing the Lyapunov capacity to develop the controller. The adequacy of the proposed plan is illustrated with a cart pendulum framework. Simulation results for a dynamic framework with non-linear parameterisation show the effectiveness of the present work.
Keywords: Adaptive control, Non-linear system, Lyapunov stability theory, Non-linear parameterisation.

1.1 INTRODUCTION

Adaptive control of non-linear framework has been a topic of broad research area. Most accessible adaptive controllers manage control issue of frameworks with non-linearities being linear in the obscure parameters. Non...

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Organizing Committee
  7. Acknowledgements
  8. Preface
  9. Foreword
  10. About the Editors
  11. Chapter 01 ▪ Design of One Adaptive Controller for a Dynamic Framework with Non-linear Parameterisation
  12. Chapter 02 ▪ A Comparative Study of Phasor Estimation Techniques
  13. Chapter 03 ▪ Adaptive Fuzzy PID Controller for a Current Controlled Multilevel Inverter Fed Matrix Converter
  14. Chapter 04 ▪ Multi-Objective Optimization for Enhanced Surface Roughness and Microhardness of AA 6063/TiO2 Cast Aluminium Metal Matrix Nanocomposites Fabricated by Friction Stir Processing
  15. Chapter 05 ▪ Self-Adaptive Multivariate q-Gaussian-based Capacitor Placement for Reactive Power Compensation in Distribution Feeders
  16. Chapter 06 ▪ Differential Evolution Coupled Neural-based Prediction of Soil Water Content
  17. Chapter 07 ▪ Numerical Investigation of Heat Conduction in a Rectangular Composite Plate with Sinusoidal Heat Input from Top Wall
  18. Chapter 08 ▪ Analytical Modelling and Simulation of a Hot-Wall Condenser Applied to Domestic Refrigerator
  19. Chapter 09 ▪ Design and Analysis of a Dual-Axis Solar Tracker with an In-built Low Cost Self-Cleaning Mechanism
  20. Chapter 10 ▪ Indices based Comparative Performance Analysis of Standard Test Systems for Reliable Power System Operation
  21. Chapter 11 ▪ Natural Ground-Water Recharge Scenario in Kolkata and a Review of Artificial Recharging
  22. Chapter 12 ▪ Performance Analysis of Grid Connected PV system under Varying Irradiance and Temperature
  23. Chapter 13 ▪ Development of a Low Cost Autonomous Car Parking System: Towards Smart City
  24. Chapter 14 ▪ Monitoring Static Security Assessment in Its Full Scope Using Common Artificial Neural Network
  25. Chapter 15 ▪ Modelling of Solar Cell Considering One Diode Model in MATLAB/Simulink Environment
  26. Chapter 16 ▪ Modelling of Intelligent Cooling of a Building in MATLAB/Simulink Environment
  27. Chapter 17 ▪ Control and Monitor of Non-linear Gas Flow by Developing a Self-Adaptive Fuzzy Controller
  28. Chapter 18 ▪ Transient Stability Controlling and Assessment of a Congested Power System in a Deregulated Environment
  29. Chapter 19 ▪ Bagasse Drying by Waste Heat Recovery from Surrounding Walls of the Combustion Chamber of a Jaggery Plant
  30. Chapter 20 ▪ Study of Score Coefficient Functions for DBSCAN-based Photometric Invariant Approach in Vision Sensor-Based Shoe Detection for Human Tracking
  31. Chapter 21 ▪ Auto-adaptive Fuzzy Controllers with Automatic Setpoint Adjustment
  32. Chapter 22 ▪ An Application of Multivariate Control Chart for Online Process Monitoring in SMEs
  33. Chapter 23 ▪ Analysis and Performance Indexing of Khagaria 132/33 kV Sub-station Using ETAP Load Flow Solutions
  34. Chapter 24 ▪ Fractional Order PID controller for Setpoint Tracking and Load Rejection
  35. Chapter 25 ▪ Analysis and Simulation of PWM-Based Half-Bridge and Full-Bridge Switch Mode Amplifier for Active Magnetic Bearing (AMB)
  36. Chapter 26 ▪ Design and Analysis of High-Speed Phase Locked Loop in 180 nm Technology
  37. Chapter 27 ▪ Design of APOD-PWM Based Multi-level Inverter using Cuk DC–DC Converter with MPPT
  38. Chapter 28 ▪ Battery Storage Technologies: A Review
  39. Chapter 29 ▪ Experimental Investigation of Solar Energy-Assisted DC Refrigerator
  40. Chapter 30 ▪ Automatic Speed Control of a Three Phase Induction Motor by Variable Frequency Drive
  41. Chapter 31 ▪ OWEC: Optimised Weighted Ensemble Classifier Using Particle Swarm Optimisation
  42. Chapter 32 ▪ Detection of Disaster Affected Regions Using Drone-assisted Deep Learning Model
  43. Chapter 33 ▪ Enhancing Massive Open Online Courses with Brain Computing Interface and Artificial Intelligence
  44. Chapter 34 ▪ Application of Multi-Objective Particle Swarm Optimization Technique for Analytical Solution of Economic and Environmental Dispatch
  45. Chapter 35 ▪ Generation of Electricity From Harmful Gases using Fuel Cell
  46. Chapter 36 ▪ Exploring Potential Building Energy Saving through Daylight Harvesting through Light Pipe
  47. Chapter 37 ▪ Greenhouse Gas Mitigation for College Building