http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Fault diagnosis and sustainable control of wind turbines
robust data-driven and model-based strategies
Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant ('sustainable') control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware-in-the-loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers-ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle-will find much to learn from this work.
Machine generated contents note: 1. Introduction -- 1.1. Introduction -- 1.2. Motivations -- 1.3. Nomenclature -- 1.4. Introduction to Wind Turbine Modeling -- 1.5. Introduction to Fault Diagnosis Methods -- 1.6. Introduction to Fault Tolerant Control Methods -- 1.7. Modeling and Advanced Control Benchmarking -- 1.8. Outline of the Monograph -- 1.9. Summary -- 2. System and Fault Modeling -- 2.1. Introduction -- 2.2. System Description -- 2.2.1. Wind Turbine Categories -- 2.3. Wind Turbine Main Components -- 2.3.1. Aerodynamic System -- 2.3.2. Drive-Train Model -- 2.3.3. Load Carrying Structure and Blade Models -- 2.3.4. Power System Model -- 2.3.5. Pitch System Model -- 2.3.6. Wind Model -- 2.3.7. Model-Reality Mismatch -- 2.3.8. Actuator and Sensor Models -- 2.3.9. Overall Model Structure -- 2.4. Wind Turbine Control Issues -- 2.4.1. Advanced Control Solutions -- 2.4.2. Wind Turbines Feedback Control -- 2.4.3. Structural and Drive-Train Stress Damper -- 2.4.4. Bumpless Transfer -- 2.5. Wind Turbine Benchmark -- 2.5.1. Wind Turbine Benchmark Model -- 2.5.2. Wind Turbine Controller Model -- 2.5.3. Measurement Model -- 2.5.4. Wind Turbine Fault Scenario -- 2.5.5. Model Parameters -- 2.5.6. Wind Turbine Benchmark Overall Model -- 2.6. Wind Farm Benchmark -- 2.6.1. Wind and Wake Model -- 2.6.2. Wind Farm Benchmark Overall Model -- 2.6.3. Wind Farm Fault Scenario -- 2.6.4. Model Parameters -- 2.7. Fault Analysis -- 2.7.1. Failure Mode and Effect Analysis -- 2.7.2. Fault Specifications and Requirements -- 2.8. Summary -- 3. Fault Diagnosis for Wind Turbine Systems -- 3.1. Introduction -- 3.1.1. Plant and Fault Models -- 3.1.2. Residual Generation General Scheme -- 3.1.3. Residual Evaluation for Change Detection -- 3.2. Residual Generation Model-Based Approaches -- 3.2.1. Parity Space Methods -- 3.2.2. Observer-Based Methods -- 3.2.3. Filtering Methods -- 3.2.4. Nonlinear Geometric Approach Method to FDI -- 3.3. Residual Generation Data-Driven Approaches -- 3.3.1. Recursive Identification Approaches -- 3.3.2. Artificial Intelligence Methods -- 3.3.3. Fault Diagnosis Technique Integration -- 3.4. Robust Residual Generation Issues -- 3.5. Summary -- 4. Fault Tolerant Control for Wind Turbine Systems -- 4.1. Introduction -- 4.1.1. Integration of Fault Diagnosis and Control -- 4.1.2. Nonlinear Adaptive Filters for Fault Estimation -- 4.2. Wind Turbine Control Strategies -- 4.2.1. Fuzzy Modeling for Control -- 4.2.2. Recursive Identification for Adaptive Control -- 4.2.3. Sustainable Control -- 4.3. Fault Tolerant Control Architectures -- 4.3.1. Controller Compensation and Active Fault Tolerance -- 4.4. Fault Tolerant Control Oriented Fault Diagnosis -- 4.4.1. Fault Tolerant Control for Wind Turbine Systems -- 4.5. Summary -- 5. Application Results -- 5.1. Introduction -- 5.2. Wind Turbine Model Application -- 5.2.1. Data-Driven Fault Diagnosis Examples -- 5.2.2. Model-Based Fault Diagnosis Examples -- 5.2.3. Fault Diagnosis Comparative Results -- 5.2.4. Performance and Robustness Analysis -- 5.3. Advanced Control Designs for Wind Turbines -- 5.3.1. Sustainable Control Design -- 5.3.2. Data-Driven Fault Tolerant Control Examples -- 5.3.3. Model-Based Fault Tolerant Control Examples -- 5.3.4. Performance Evaluation and Robustness Analysis -- 5.3.5. Comparative Results and Stability Analysis -- 5.4. Wind Farm Model Application -- 5.4.1. Control Design for Wind Farm -- 5.4.2. Data-Driven Fault Diagnosis -- 5.4.3. Model-Based Fault Diagnosis -- 5.4.4. Comparative and Robustness Analysis -- 5.4.5. Sustainable Control for the Wind Farm Simulator -- 5.5. Summary -- 6. Matlab and Simulink Implementations -- 6.1. Introduction -- 6.2. Wind Turbine System Benchmark -- 6.2.1. Wind Turbine Simulator Main Components -- 6.2.2. Aerodynamic Block -- 6.2.3. Drive-Train Block -- 6.2.4. Power System Block -- 6.2.5. Pitch System Block -- 6.2.6. Wind Model Block -- 6.2.7. Actuator and Sensor Model Block -- 6.2.8. Wind Turbine Controller Block -- 6.2.9. Wind Turbine Fault Blocks -- 6.2.10. Wind Turbine Model Parameter Initialization -- 6.3. Wind Farm System Benchmark -- 6.3.1. Wind and Wake Block -- 6.3.2. Wind Farm Fault Block -- 6.3.3. Wind Farm Model Parameter Initialization -- 6.3.4. Fault Diagnosis Module Implementation -- 6.3.5. Fault Tolerant Control Module Implementation -- 6.3.6. Monte Carlo Simulation Tool -- 6.3.7. Hardware-In-The-Loop Tests -- 6.4. Summary -- 7. Conclusions -- 7.1. Introduction -- 7.2. Closing Remarks -- 7.3. Further Work and Open Problems -- 7.3.1. Sustainable Control Design Objectives -- 7.3.2. Sustainable Control Concepts and Approaches -- 7.3.3. Sustainable Control Approaches and Working Methods -- 7.3.4. Sustainable Control Design Ambition -- 7.3.5. Sustainable Control Innovation Potentials -- 7.3.6. Sustainable Control Expected Impacts -- 7.4. Summary.
Includes bibliographical references and index.