Linear and Nonlinear System Modeling

Linear and Nonlinear System Modeling

Written and edited by a team of experts in the field, this exciting new volume presents the cutting-edge techniques, latest trends, and state-of-the-art practical applications in linear and nonlinear system modeling. Mathematical modeling of control systems is, essentially, extracting the essence of...

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Detalles Bibliográficos
Otros Autores: Roy, Tamal, editor (editor), Tripathi, Suman Lata, editor, Ganguli, Souvik, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc [2024]
Edición:First edition
Materias:
Control theory.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009852333306719
Tabla de Contenidos:
  • Cover
  • Untitled
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Assessment of Faults in Hybrid System Connected with Main Grid
  • 1.1 Introduction
  • 1.2 Hybrid System Connected with Main Grid
  • 1.3 FFT Results in Different Conditions, Respective Bar Diagram, and Observations
  • 1.4 Inter-Harmonic Group Analysis, Results, and Observations
  • 1.5 Statistical Parameter Analysis Based on Discrete Wavelet Transform, Results, and Observations
  • 1.6 Algorithm to Determine Non-Identical Conditions
  • 1.7 Specific Outcome of This Chapter
  • 1.8 Conclusions
  • References
  • Chapter 2 Diversified Harmonics Modeling for Power System Stability Analysis
  • 2.1 Introduction
  • 2.2 Classification
  • 2.2.1 Steady-State Stability
  • 2.2.2 Transient Stability
  • 2.2.3 Dynamic Stability
  • 2.3 Power Equation
  • 2.4 Maximum Power
  • 2.5 Nonlinearity and Harmonics
  • 2.6 Active Power, Load Angle, and Reactance
  • 2.7 Effects of Harmonics on Stability Model
  • 2.7.1 Harmonic Reactance
  • 2.7.2 Harmonic Power Equation and Harmonic Maximum Power
  • 2.8 Harmonic Operating Point
  • 2.8.1 Harmonic Power Versus Load Angle Characteristics
  • 2.8.2 Harmonic Operating Point
  • 2.8.3 Does HOP Hamper Overall Stability?
  • 2.8.4 Importance of HOP
  • 2.8.5 Steps for Determination of HOP
  • 2.9 Case Studies
  • 2.10 Conclusions
  • References
  • Chapter 3 Comparative Study of Different Existing Standard Microgrid Networks
  • 3.1 Introduction
  • 3.2 Classification of Microgrid Networks
  • 3.2.1 DC Microgrid Network
  • 3.2.2 AC Microgrid Network
  • 3.2.3 Hybrid AC/DC Microgrid Network
  • 3.3 Modes of Operation
  • 3.4 General Equipment of a Microgrid Network
  • 3.5 Basic Control Structure of Microgrid Network
  • 3.6 Existing Standard Models
  • 3.6.1 IEEE 14 Bus Microgrid Network
  • 3.6.2 IEEE 9 Bus Microgrid Network.
  • 3.6.3 IEC 61850-7-420 Standard Microgrid Network
  • 3.7 Considerations for Designing of Protection Schemes
  • 3.8 Conclusion
  • References
  • Chapter 4 Application of Active Power Filter in the Hybrid Power System to Regulate the Grid Voltage
  • 4.1 Introduction
  • 4.2 System Topology Description
  • 4.2.1 Solar Photovoltaic System
  • 4.2.1.1 SPV Modeling
  • 4.2.1.2 Maximum Power Point Tracking
  • 4.2.1.3 Boost Converter
  • 4.2.2 Wind Energy System
  • 4.2.3 Modeling of Battery
  • 4.2.4 Buck-Boost Converter
  • 4.3 Series Active Power Filter Design
  • 4.4 Simulation Results
  • 4.4.1 Analysis Under Case 1
  • 4.4.2 Analysis Under Case 2
  • 4.5 Conclusion
  • References
  • Chapter 5 Dynamic Modeling of Drone Control with MATLAB Simulation
  • 5.1 Introduction
  • 5.2 Tool Description
  • 5.3 Methodology
  • 5.4 Overview of the Drone Control System
  • 5.5 Overview of the Drone Control System in MATLAB Simulink
  • 5.5.1 Flight Command
  • 5.5.2 Flight Control System
  • 5.5.3 Simulation Model
  • 5.5.4 Flight Visualization
  • 5.5.5 Result and Discussion
  • 5.5.6 Varying the Values of Thrust Parameter of the Drone Flight Control
  • 5.5.7 Varying the Values of Pitch Parameter of the Drone Flight Control
  • 5.5.8 Varying the Values of Roll Parameter of the Drone Flight Control
  • 5.5.9 Varying the Values of Yaw Parameter of the Drone Flight Control
  • 5.5.10 Varying the Values of Thrust, Pitch, Roll, and Yaw Parameter of the Drone Flight Control
  • 5.6 Applications
  • 5.7 Conclusion
  • References
  • Chapter 6 Development of New Bioinspired Hybrid Algorithms for Parameter Modeling of Photovoltaic Panels
  • 6.1 Introduction
  • 6.2 Problem Statement
  • 6.3 Proposed Bioinspired Techniques and Methodology
  • 6.4 Simulation Results and Discussions
  • 6.5 Conclusions
  • References
  • Chapter 7 Power Quality Improvement by Using PV-Integrated DSTATCOM
  • 7.1 Introduction.
  • 7.2 Photovoltaic (PV)-Based DSTATCOM Model
  • 7.3 Controller Design and Control Algorithm
  • 7.3.1 Instantaneous Reactive Power Theory (IRPT)
  • 7.3.2 Modified Instantaneous Reactive Power Theory (MIRPT)
  • 7.3.3 Hybrid Synchronous Reference Frame Theory (HSRF)
  • 7.3.4 Indirect Current Control (ICC)
  • 7.3.5 Direct Current Control (DCC)
  • 7.4 Simulation Results
  • 7.5 Experimental Results
  • 7.6 Conclusion
  • References
  • Chapter 8 Modeling and Simulation of Current Transformer to Study Its Behaviors in Different Conditions
  • 8.1 Introduction
  • 8.2 Simulation Circuit of Current Transformer
  • 8.3 Effects of CT Performance Due to Variation of Circuit Time Constants
  • 8.4 Effects of CT Performance Due to Switching Transients
  • 8.5 DWT-Based Skewness Analysis for Assessment of CT Saturation Due to Switching Transients
  • 8.6 CT Saturation Detection by Multi-Resolution Analysis- Based Notch Assessment
  • 8.7 CT Primary Current Assessment During CT Saturation
  • 8.8 Conclusion
  • References
  • Chapter 9 Multilevel Inverter-Fed Closed Loop Control and Analysis of Induction Motor Drive
  • 9.1 Introduction
  • 9.2 Mathematical Modeling
  • 9.2.1 Field Weakening Controller
  • 9.2.2 Vector Controller
  • 9.3 Results
  • 9.3.1 Starting Dynamics
  • 9.3.2 Reversal Dynamics
  • 9.3.3 Load Perturbation Analysis
  • 9.3.4 THD Analysis
  • 9.4 Conclusion
  • References
  • Chapter 10 Hybrid Grey Wolf Optimizer for Modeling and Control of Electric Drives
  • 10.1 Background Study
  • 10.2 Proposed Approach
  • 10.3 Simulation Outcomes and Discussions
  • 10.4 Conclusions
  • References
  • Chapter 11 Parameter Estimation of First-Order RC Model of Lithium-Ion Batteries in Electric Vehicles Using Slime Mold Algorithm
  • 11.1 Introduction
  • 11.2 Brief Overview of the Battery Models
  • 11.2.1 Equivalent Circuit Model (ECM) of Li-Ion Battery.
  • 11.2.2 First-Order RC Equivalent Circuit Model
  • 11.2.3 Fitness Function for Optimization
  • 11.3 Slime Mold Algorithm (SMA)
  • 11.4 Methodology
  • 11.5 Simulation Results and Discussions
  • 11.6 Conclusions
  • References
  • Chapter 12 Harmonic Distortion-Based Performance Analysis and Fault Diagnosis of Inverter Connected with BLDC Motor Using Starting Transients
  • 12.1 Introduction
  • 12.2 Modeling
  • 12.3 THD Comparison of Phase Currents of Different Inverters
  • 12.4 Variation of Harmonic Distortion of IGBT Inverter During Fault
  • 12.5 Variation of Harmonic Distortion of MOSFET Inverter During Fault
  • 12.6 Variation of Harmonic Distortion of Ideal Switch Inverter During Fault
  • 12.7 Conclusion
  • References
  • About the Editors
  • Index
  • Also of Interest
  • EULA.

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