| Description |
1 online resource (xix, 221 pages) : illustrations (some color) |
| Series |
Springer theses, 2190-5061 |
|
Springer theses, 2190-5061
|
| Contents |
Intro -- Supervisors' Foreword -- Acknowledgements -- Contents -- Abbreviations, Nomenclature and Notations -- Operators -- General Convention -- Specific Notation -- Specific Observer Notation -- Specific Fuel Cell Notation -- Specific DC Microgrid Notation -- 1 Introduction -- 1.1 Thesis Objective -- 1.2 Thesis Outline -- 2 The Observation Problem -- 2.1 Problem Definition -- 2.2 Observability Analysis and Necessary Conditions for the Solvability ... -- 2.3 The Benefits of Observers -- References -- 3 Nonlinear Observer Design -- 3.1 Observer Definition and Design -- 3.2 High-Gain Observers |
|
3.2.1 Classic High-Gain Observer -- 3.2.2 Transformation to a Triangular Form -- 3.2.3 Extension of the High-Gain Observer: Low-Power Peaking-Free Observer -- 3.3 Parameter Estimation-Based Observer -- 3.3.1 Idea and Structure of the Observer -- 3.3.2 Standard Parameter Estimator -- 3.3.3 Implicitly-Regularized Observer -- 3.3.4 Transformation to a State-affine Form -- 3.4 Nonlinear Observers in the Presence of Unmodelled Elements -- References -- 4 Adding Filters in Nonlinear Observers -- 4.1 The Conflict of Measurement Noise in Nonlinear Observers -- 4.2 On Adding Filters in Observers |
|
4.3 Low-Pass Filters in Nonlinear Observer -- 4.3.1 Cascaded Filters and Iterative Filter Design -- 4.3.2 Filter Examples -- 4.4 On Internal-Model Filters -- 4.4.1 Problem Formulation -- 4.4.2 Main Assumptions -- 4.4.3 Internal-Model Filter -- 4.4.4 Combining Both Filters: Low-Pass Internal-Model Filter -- 4.5 Dynamic Dead-Zone Filter -- References -- 5 Adaptive Observers: Direct and Indirect Redesign -- 5.1 Adaptive Observers and the Conflict of Model Uncertainty -- 5.2 Direct Adaptive Observer Redesign -- 5.2.1 Constructing a Strict Lyapunov Function |
|
5.2.2 Addressing the Relative Degree Condition: A High-Gain Observer Approach -- 5.2.3 Library-Based Adaptive Observation: A Sparsity-Promoting Adaptive Observer -- 5.3 Indirect Adaptive Observer Redesign -- References -- 6 PEM Fuel Cell Monitoring -- 6.1 Introduction and PEM Fuel Cell Principles -- 6.2 PEM Fuel Cell Model -- 6.2.1 Governing Equations -- 6.2.2 Control Volumes -- 6.2.3 Membrane Sub-model -- 6.2.4 Porous Media Sub-model -- 6.2.5 Liquid Water Dynamics in the Porous Media -- 6.2.6 Channel Sub-model -- 6.2.7 Thermal Sub-model -- 6.2.8 Electrochemical Sub-model |
|
6.2.9 Partial Experimental Validation and Model Feasibility -- 6.2.10 Estimation Objectives and Model Reduction -- 6.3 Cathode Liquid Water Saturation Monitoring Through Nonlinear Observers -- 6.3.1 Observability Analysis -- 6.3.2 System Transformation -- 6.3.3 Observer 1: Low-Power Peaking-Free Dead-Zone Observer -- 6.3.4 Adding the Voltage Sensor -- 6.3.5 Observer 2: High-Gain Observer with Voltage Sensor and Low-Pass Internal-Model Filter -- 6.3.6 Observer 3: Direct Adaptive Observer -- 6.3.7 Numerical Simulation -- 6.3.8 Experimental Validation -- References |
| Summary |
This book reports on a set of advances relating to nonlinear observer design, with a special emphasis on high-gain observers. First, it covers the design of filters and their addition to the observer for reducing noise, a topic that has been so far neglected in the literature. Further, it describes the adaptive re-design of nonlinear observers to reduce the effect of parametric uncertainty. It discusses several limitations of classical methods, presenting a set of successfull solutions, which are mathematically formalised through Lyapunov stability analysis, and in turn validated via numerical simulations. In the second part of the book, two applications of the adaptive nonlinear observers are described, such in the estimation of the liquid water in a hydrogen fuel cell and in the solution of a common cybersecurity problem, i.e. false data injection attacks in DC microgrids. All in all, this book offers a comprehensive report on the state-of-the-art in nonlinear observer design for energy systems, including mathematical demonstrations, and numerical and and experimental validations |
| Notes |
"Doctoral thesis accepted by Universitat Politècnica de Catalunya, Barcelona, Spain." |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed September 6, 2023) |
| Subject |
Observers (Control theory)
|
|
Parameter estimation.
|
|
Feedback control systems.
|
|
Feedback control systems.
|
|
Observers (Control theory)
|
|
Parameter estimation.
|
| Form |
Electronic book
|
| ISBN |
9783031389245 |
|
3031389247 |
|
