Linear and nonlinear system modeling

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Title:

Author:

Roy, Tamal, editor.

ISBN:

9781119847533

9781119847519

9781119847526

Physical Description:

1 online resource

Contents:

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

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

Abstract:

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 practical problems into systematic mathematical language. In system modeling, mathematical expression deals with modeling and its applications. It is characterized that how a modeling competency can be categorized and its activity can contribute to building up these competencies. Mathematical modeling of a practical system is an attractive field of research and an advanced subject with a variety of applications. The main objective of mathematical modeling is to predict the behavior of the system under different operating conditions and to design and implement efficient control strategies to achieve the desired performance. A considerable effort has been directed to the development of models, which must be understandable and easy to analyze. It is a very difficult task to develop mathematical modeling of complicated practical systems considering all its possible high-level non-linearity and cross couple dynamics. Although mathematical modeling of nonlinear systems sounds quite interesting, it is difficult to formulate the general solution to analyze and synthesize nonlinear dynamical systems. Most of the natural processes are nonlinear, having very high computational complexity of several numerical issues. It is impossible to create any general solution or individual procedure to develop exact modeling of a non-linear system, which is often improper and too complex for engineering practices. Therefore, some series of approximation procedures are used, in order to get some necessary knowledge about the nonlinear system dynamics. There are several complicated mathematical approaches for solving these types of problems, such as functional analysis, differential geometry or the theory of nonlinear differential equations.

Local Note:

John Wiley and Sons

Subject Term:

Control theory.

Théorie de la commande.

Electronics.

TECHNOLOGY & ENGINEERING.

Genre:

Electronic books.

Added Author:

Roy, Tamal,

Tripathi, Suman Lata,