
Fault Diagnosis and Sustainable Control of Wind Turbines
Robust Data-Driven and Model-Based Strategies
Description
Key Features
- Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors
- Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems
- Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements
- Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur
- Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches
- Provides MATLAB and Simulink codes for the solutions proposed
Readership
Mechanical, Electrical and Power engineers working in industry and researchers in academic and scientific institutions wishing to gain insight into the applications potential of new fault diagnosis and sustainable control methods
Table of Contents
- Chapter 1 Introduction
1.1 Motivations
1.2 Nomenclature
1.3 Fault Diagnosis Methods
1.4 Fault Tolerant Control Methods
1.5 Outline of the Monograph
Chapter 2 System and Fault Modelling
2.1 System Description
2.1.1 Wind Turbine Categories
2.1.2 Main Components of Wind Turbines
2.1.3 The Overall Wind Turbine Analytical Description
2.1.4 Wind Turbine Control Issues
2.2 The Wind Turbine Benchmark System
2.2.1 The Turbine Model
2.2.2 The Controller Model
2.2.3 The Measurement Model
2.2.4 The Fault Scenarios
2.2.5 Model Parameters
2.2.6 The Complete Model
2.3 The Wind Farm Benchmark System
2.3.1 The Wind and Wake Model
2.3.2 The Plant Model
2.3.3 The Fault Scenarios
2.3.4 Model Parameters
Chapter 3 Data–Driven Modelling and Identification
3.1 Fuzzy Modelling and Identification
3.1.1 Introduction to Fuzzy Logic
3.1.2 Takagi–Sugeno Fuzzy Rules
3.1.3 FIS Design from Data
3.2 Neural Network Modelling
3.2.1 Introduction to Neural Network
3.2.2 Neural Network Architectures
3.2.3 Training the Network
3.2.4 Other Training Algorithms
3.2.5 Problems with Neural Networks
Chapter 4 Fault Diagnosis and Fault Tolerant Control Schemes
4.1 Failure Mode & Effect Analysis
4.2 Fault Diagnosis
4.3 Fault Tolerant Control
Chapter 5 Nonlinear Geometric Approach for Fault Diagnosis
5.1 NLGA FDI Scheme Design
5.2 NLGA Robustness Improvements
5.2.1 Filter and Observer Residual Function Forms
5.2.2 NLGA Residual Optimisation
5.3 NLGA Adaptive Filter Fault Estimation
5.3.1 Adaptive Filtering Algorithm
5.3.2 Disturbance Distribution Estimation
Chapter 6 Simulations, Experiments and Results
6.1 Wind Turbine Simulations
6.1.1 Fault Diagnosis via Fuzzy Identified Models
6.1.2 Fault Diagnosis via Neural Networks
6.1.3 Validation and Comparative Analysis
6.1.4 Fault Tolerant Control
6.2 Wind Farm Simulations
6.2.1 Fault Diagnosis
6.2.2 Comparative Analysis
6.2.3 Fault Tolerant Control
6.3 Hardware in the Loop Tests
6.4 Wind Farm NLGA AFTC
Chapter 7 Conclusions
7.1 Concluding Remarks
7.2 Summary
7.3 Further Works
References
Product details
- No. of pages: 228
- Language: English
- Copyright: © Butterworth-Heinemann 2018
- Published: January 2, 2018
- Imprint: Butterworth-Heinemann
- Paperback ISBN: 9780128129845
- eBook ISBN: 9780128129852
About the Authors
Silvio Simani
Affiliations and Expertise
Saverio Farsoni
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
SilvioSimani Thu Jun 14 2018
Excellent monograph on wind turbine sustainable control solutions
Fault Diagnosis and Sustainable Control of Wind Turbines discusses in detail the development of reliable and robust solutions for the sustainable control of wind turbines using data-driven and model-based methodologies. The proposed solutions are validated by means of high-fidelity simulators. The book performs an accurate analysis of the strategies already proposed for these safety-critical systems. Moreover, the suggested schemes are available from the website provided by the book editor. The monograph is also sponsored by MathWorks, as the final chapter of the book addresses the development of both the wind turbine simulators and their sustainable control methods.