Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

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The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.

The main market area of the contributions include:

Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors.

 

These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.

Author(s): Didier Theilliol, Józef Korbicz, Janusz Kacprzyk
Series: Studies in Systems, Decision and Control, 467
Publisher: Springer
Year: 2023

Language: English
Pages: 351
City: Cham

Preface
Contents
Observers and Estimation
Hinfty Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters
1 Introduction
2 Problem Formulation
3 Preliminaries
4 Robust Luenberger-Type Estimator
5 Example
6 Conclusions
References
Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems
1 Introduction
2 Notations
3 Preliminary Results
4 An Exact Discretization of Sampled LPV Systems Subject to an Unknown Input
5 Anticipating the Loss of Unknown Input Observability
6 Illustrative Example
7 Conclusion and Perspectives
References
Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithium-Titanate Oxide Cells
1 Introduction
2 Equivalent Circuit Model for the Battery
3 Luenberger Observer Design
3.1 Preliminaries
3.2 Main Results
3.3 Designing the Observer Gain in the LQR Framework
3.4 Observer Design and Operation
4 Application: Lithium-Titanate Oxide Battery Cells
4.1 Model Parameters
4.2 Observer Gain Design
4.3 SoC Estimation in 4C DPPC Test
5 Conclusions
References
Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-zone Polynomial Regression
1 Introduction
2 PV Array Characteristics and Modeling
3 Regression Estimation Methods
3.1 Estimation Based on the PR Method
3.2 MZP Regression Proposed Method
4 Fault Detection and Diagnosis Method
4.1 Residual Generation by Using KF
4.2 Residual Evaluation
5 FDD Simulation Results
5.1 Healthy Scenario
5.2 Faulty Scenario: Intermittent Soft Short Circuit
6 Conclusion
References
Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimation
1 Introduction
2 Problem Formulation
3 Measurement Fault Estimator Based on Parity-Space Approach
4 Measurement Fault Estimator Based on Multiple-Model Approach
5 Numerical Comparison of Fault Estimators
6 Conclusion
References
Diagnosis and Prognosis
Online Condition Monitoring of a Vacuum Process Based on Adaptive Notch Filters
1 Introduction
2 Vacuum Model
3 Adaptive Notch Filtering (ANF) Methods
4 Results and Discussions
5 Conclusion
References
A Study of OBF-ARMAX Performance for Modelling of a Mechanical System Excited by a Low Frequency Signal for Condition Monitoring
1 Introduction
2 System
3 Methodology
4 Models
5 Results
5.1 Modelling of the RARR's Canonical Rolls
5.2 Numerical Example
6 Conclusions
References
Pre-localization of Two Leaks in a Water Pipeline Using Hydraulic and Spatial Constraints
1 Introduction
1.1 Related Work
1.2 The Essence of the Proposed Method
1.3 Disadvantages and Advantages
2 Rigid Water Column Model
2.1 One-Leak Moment Equations
2.2 Two-Leaks Moment Equations
3 Hydraulic Relations
3.1 Parameters of a Fictitious (Equivalent) Leak
3.2 Estimation of the Two-Leaks Parameters
3.3 Constraints
4 Method Description
5 Simulation Tests
6 Conclusions
References
Diagnosis and Failure Prognosis of Intermittent Faults: A Bond Graph Approach
1 Introduction
2 Bond Graph Approach to Intermittent Fault Prognosis
2.1 Bond Graph Model-Based Fault Diagnosis
2.2 Repeated Prediction of RUL Estimates
3 Offline Simulation Case Study
3.1 BG Based Detection and Estimation of Intermittent Faults
3.2 RUL Prediction for Intermittent Faults
3.3 A Switch with Intermittent Faults
3.4 A Sensor with Intermittent Faults
References
Remaining Useful Life Estimation Based on Wavelet Decomposition: Application to Bearings in Reusable Liquid Propellant Rocket Engines
1 Introduction
2 Methodology of the Proposed Approach
3 Results and Discussion
4 Conclusion
References
Advanced Control
Adaptive Finite Horizon Degradation-Aware Regulator
1 Introduction
2 Method
2.1 Formulation
2.2 Relevance Vector Machine
3 Discussion
4 Conclusion
References
Set-Membership Fault Detection Approach for a Class of Nonlinear Networked Control Systems with Communication Delays
1 Introduction
2 Preliminaries
3 NCS Architecture Description and Problem Formulation
3.1 Interval Observer Structure
3.2 State Predictor Design
4 Fault Detection
5 Numerical Example
6 Conclusion and Future Work
References
Demanded Power Point Tracking for Urban Wind Turbines
1 Introduction
2 Control Objectives and Process Description
3 Methods
3.1 Original Extremum Seeking Optimizer
3.2 Modified Extremum Seeking Control for DPPT
4 Results
5 Discussion and Outlook
References
Degradation Simulator for Infinite Horizon Controlled Linear Time-Invariant Systems
1 Introduction
2 Method
2.1 Degradation in the Closed-Loop System
2.2 Degradation Simulation Algorithm
2.3 Sample Simulation
3 Conclusion
References
Distributed Observer-Based Leader-Following Consensus Control Robust to External Disturbance and Measurement Sensor Noise for LTI Multi-agent Systems
1 Introduction
2 Problem Statement and System Description
3 Observer-Based Leader-Following Consensus Robust Controller
4 Simulation Results: Application to a Team of UAVs
5 Conclusions
References
Nonlinear Systems, Localization and FDI
Contact-Less Sensing and Fault Detection/Localization in Long Flexible Cantilever Beams via Magnetoelastic Film Integration and AR Model-Based Methodology
1 Introduction
2 Materials and Methods
2.1 Feasibility of Detecting and Localizing Different Faults
3 Results and Discussion
3.1 Sensing Properties of the Passive Setup
3.2 Fault Detection and Localization Results
4 Conclusions
References
A Comparative Simulation Study of Localization Error Models for Autonomous Navigation
1 Introduction
2 Localization Error Modeling
2.1 First Drift Model: Jiang et al. ch17jiangspsmodelingsps2010
2.2 Second Drift Model: Bazeille et al. ch17bazeillespscharacterizationsps2020
2.3 Third Drift Model: Proposed Model
2.4 Open Loop Comparison
3 Closed Loop Simulation and Results
4 Conclusion
References
Study of Testing Strategy for Performance Analysis of Actuator Layer in Safety Instrumented System
1 Introduction
2 SIS Structure and EUC
2.1 SIS Structure
2.2 Proof Test Strategies
3 Performance Analysis Model
3.1 Assumptions
3.2 Performance Analysis Modelling
3.3 Study of a 1oo3 Structure
4 Numerical Example
5 Conclusion
References
Localization and Navigation of an Autonomous Vehicle in Case of GPS Signal Loss
1 Introduction
1.1 Context
1.2 Motivation
1.3 Summary
2 Localization Method
2.1 Inertial Odometry (IO)
2.2 Visual Odometry (VO)
2.3 Visual-Inertial Data Fusion Using a Kalman Filter
3 Offline Evaluation
3.1 Experimental Platform
3.2 Validation of the Localization Methods
4 Real-Time Implementation
5 Conclusion
References
Nonlinear Analysis of SRF-PLL: Hold-In and Pull-In Ranges
1 Introduction
2 Mathematical Model of the SRF-PLL
3 SRF-PLL Stability Analysis
3.1 Local Stability (Small-Signal Analysis)
3.2 Global Stability (Large-Signal Analysis)
4 Comparison with Known Results
5 Conclusion
References
Machine Learning, Artificial Intelligence and Data-Driven Methods
Complementary Reward Function Based Learning Enhancement for Deep Reinforcement Learning
1 Introduction
2 Preliminaries
2.1 Deep Deterministic Policy Gradient Method
3 Problem Formulation
4 Complementary Reward Function Method
4.1 Traditional Reward Function Approach
4.2 Complementary Function Approach
5 Conclusions and Future Work
References
Data-Driven Dissipative Verification of LTI Systems: Multiple Shots of Data, QDF Supply-Rate and Application to a Planar Manipulator
1 Introduction
2 Problem Formulation
3 Main Result
4 Example—2 Degree-of-Freedom Planar Manipulator
5 Conclusions
References
Hybrid Model/Data-Driven Fault Detection and Exclusion for a Decentralized Cooperative Multi-robot System
1 Introduction
2 Proposed Approach
2.1 Description of the Approach
2.2 Information Filtering
2.3 Hybrid Fault Detection and Exclusion
3 Experimentation and Results
3.1 Robotic Platform
3.2 Results
4 Conclusion and Perspectives
References
Development of a Hybrid Safety System Based on a Machine Learning Approach Using Thermal and RGB Data
1 Introduction and Motivation
2 State of the Art: Safety Systems for Leakage and Person Detection at LNG Vessels
3 Results
3.1 Leakage Detection
3.2 Object Detection
4 Summary and Conclusion
References
A Comparative Study on Damage Detection in the Delta Mooring System of Spar Floating Offshore Wind Turbines
1 Introduction
2 The Spar FOWT and the Simulations
3 Damage Detection Methods
3.1 MM-AR and MM-PSD Methods ch25Illiopoulos2020
3.2 FMBM ch25Sakaris2022
4 Damage Detection Results
5 Conclusions
References
Robust and Fault Tolerant Control
A Cooperative Centralized MPC for Collision Avoidance of a Fleet of AVs
1 Introduction
2 Problem Formulation
3 AV Fleet Modelling
4 Networked Model Predictive Control Path Planning
4.1 Dynamic Constraints
4.2 Safety Constraints
5 Simulation and Results
6 Conclusion
References
Fault Tolerant Control of Markov Jump Systems Using an Asynchronous Virtual Actuator
1 Introduction
2 Problem Formulation
3 Analysis Conditions
4 Design Conditions
5 Numerical Example
6 Conclusions
References
Robust Safety Control for Automated Driving Systems with Perception Uncertainties
1 Introduction
2 Related Work
3 Key Design Concepts
4 Implementation and Case Study
5 Conclusion and Future Work
References
Algorithms and Methods for Fault-tolerant Control and Design of a Self-balanced Scooter
1 Introduction
2 Fuzzy Decision Engine
3 Evaluation
4 Conclusions
References
Robust Control of a Customized Lane Change Maneuver
1 Introduction
2 Personalized Path Generation
3 Lateral Guidance
4 Experimental Validation Process
5 Conclusion and Perspectives
References
Robust mathcalL2 Proportional Integral Observer Based Controller Design with Unmeasurable Premise variables and Input Saturation
1 Introduction
2 Notations and Problem Statements
2.1 Notations
2.2 Problem Statements
3 Control Problem
3.1 Control Law
3.2 LMI-Based Design Conditions of Constrained Descriptor System
4 Illustrative Example
5 Conclusion
References