| Titre : | Active sound and vibration control : theory and application | | Type de document : | texte imprimé | | Auteurs : | Osman Tokhi, Auteur ; Sandor Veres, Auteur | | Editeur : | London : The Institution of Electrical Engineers | | Année de publication : | 2002 | | Collection : | IEE Control Engineering Series 62 | | Importance : | 426 p. | | Présentation : | couv. ill. en en coul | | Format : | 23,7 cm. | | ISBN/ISSN/EAN : | 978-0-85296-038-7 | | Langues : | Anglais (eng) | | Index. décimale : | 26-05 Acoustique industrielle | | Résumé : | This book presents the established fundamentals in the area of active sound and vibration control (ASVC) as well as exploring the new and emerging technologies and techniques. There has been a considerable amount of effort devoted to the development and realisation of methodologies for the control of sound and vibration, and this book covers the latest theoretical, algorithmic and practical applications including: noise control in 3D propagation, adaptive algorithms, prediction, processing and tuning, neuro-active control, control of microvibrations, and noise reduction in locomotives and vehicles. Topics discussed include multichannel active noise control, adaptive harmonic control, model-free iterative tuning, model-based control design for active vibration control (AVC), ASVC using neural networks, genetic algorithms for ASVC systems, and active noise control (ANC) around the human head. The authors also discuss active control of microvibrations, vibration control of manipulators, and techniques of real-time processing. This book will be essential reading for electrical, mechanical and control engineers, designers and researchers, interested in noise and vibration control. | | Note de contenu : | Contents
I Review of fundamentals
1 An overview of ASVC: from laboratory curiosity to commercial products
1.2 Active Noise Control
1.3 Active Control of Vibrations
2 ANC in three-dimensional propagation
2.2 Active noise control structure
2.4 Limitations in the controller design
2.5 System stability
3 Adaptive methods in active control
3.2 Feedforward control
3.4 Internal model control
II Recent algorithmic developments
4 Multichannel active noise control: stable adaptive algorithms
4.3 Structure and Algorithms
4.4 Identification-based adaptive control in case
4.5 Experimental results using the proposed adaptive algorithms
5 Adaptive harmonic control: tuning in the frequency domain
5.3 A frequency selective RLS solution
5.4 A frequency selective LMS solution
5.5 Simulation example
6 Model-free iterative tuning
6.2 The online tuning scheme
6.3 The online FSF tuning scheme
6.4 Simulations
7 Model-based control design for AVC
7.3 H[subscript infinity] controller optimisation under model uncertainty
7.5 Identification of empirical models for control
8 ANVC using neural networks
8.2 Neural networks
8.3 Neuro-active noise control
8.4 Implementations and results
9 Genetic algorithms for ASVC systems
9.2 The genetic algorithm
9.3 Control source location optimisation example
9.4 Example of control filter weight optimisation
III Applications
10 ANC Around a human's head
10.2 Outline of the system
10.3 Simulation
11 Active Control of Microvibrations
11.2 System description and modelling
11.4 Control systems design
11.5 Robustness analysis
12 Vibration control of manipulators
12.2 The flexible manipulator system
12.3 Open-loop control
12.4 Switching surface and variable structure control
12.5 Adaptive joint-based collocated control
12.6 Adaptive inverse-dynamic active control
13 ANC in an electric locomotive
13.2 Noise sources in electric trains
13.3 Locomotive noise characterisation
13.4 Generalities of active control approaches for cabin noise reduction
13.5 Noise control at source
13.6 A target noise control strategy
13.7 Main results of the field experimentation
14 ANC for road noise attenuation
14.2 Constraint multiple filtered-x LMS algorithm
14.3 Constraint XLMS algorithm using an IIR-based filter
14.4 Experimental results
15 Techniques for real-time processing
15.2 The cantilever beam system
15.3 Active vibration control
15.4 Hardware architectures
15.5 Software support
15.6 Partitioning and mapping of algorithms
15.7 The combined simulation, identification and control algorithm
-Index |
Active sound and vibration control : theory and application [texte imprimé] / Osman Tokhi, Auteur ; Sandor Veres, Auteur . - London : The Institution of Electrical Engineers, 2002 . - 426 p. : couv. ill. en en coul ; 23,7 cm.. - ( IEE Control Engineering Series 62) . ISBN : 978-0-85296-038-7 Langues : Anglais ( eng) | Index. décimale : | 26-05 Acoustique industrielle | | Résumé : | This book presents the established fundamentals in the area of active sound and vibration control (ASVC) as well as exploring the new and emerging technologies and techniques. There has been a considerable amount of effort devoted to the development and realisation of methodologies for the control of sound and vibration, and this book covers the latest theoretical, algorithmic and practical applications including: noise control in 3D propagation, adaptive algorithms, prediction, processing and tuning, neuro-active control, control of microvibrations, and noise reduction in locomotives and vehicles. Topics discussed include multichannel active noise control, adaptive harmonic control, model-free iterative tuning, model-based control design for active vibration control (AVC), ASVC using neural networks, genetic algorithms for ASVC systems, and active noise control (ANC) around the human head. The authors also discuss active control of microvibrations, vibration control of manipulators, and techniques of real-time processing. This book will be essential reading for electrical, mechanical and control engineers, designers and researchers, interested in noise and vibration control. | | Note de contenu : | Contents
I Review of fundamentals
1 An overview of ASVC: from laboratory curiosity to commercial products
1.2 Active Noise Control
1.3 Active Control of Vibrations
2 ANC in three-dimensional propagation
2.2 Active noise control structure
2.4 Limitations in the controller design
2.5 System stability
3 Adaptive methods in active control
3.2 Feedforward control
3.4 Internal model control
II Recent algorithmic developments
4 Multichannel active noise control: stable adaptive algorithms
4.3 Structure and Algorithms
4.4 Identification-based adaptive control in case
4.5 Experimental results using the proposed adaptive algorithms
5 Adaptive harmonic control: tuning in the frequency domain
5.3 A frequency selective RLS solution
5.4 A frequency selective LMS solution
5.5 Simulation example
6 Model-free iterative tuning
6.2 The online tuning scheme
6.3 The online FSF tuning scheme
6.4 Simulations
7 Model-based control design for AVC
7.3 H[subscript infinity] controller optimisation under model uncertainty
7.5 Identification of empirical models for control
8 ANVC using neural networks
8.2 Neural networks
8.3 Neuro-active noise control
8.4 Implementations and results
9 Genetic algorithms for ASVC systems
9.2 The genetic algorithm
9.3 Control source location optimisation example
9.4 Example of control filter weight optimisation
III Applications
10 ANC Around a human's head
10.2 Outline of the system
10.3 Simulation
11 Active Control of Microvibrations
11.2 System description and modelling
11.4 Control systems design
11.5 Robustness analysis
12 Vibration control of manipulators
12.2 The flexible manipulator system
12.3 Open-loop control
12.4 Switching surface and variable structure control
12.5 Adaptive joint-based collocated control
12.6 Adaptive inverse-dynamic active control
13 ANC in an electric locomotive
13.2 Noise sources in electric trains
13.3 Locomotive noise characterisation
13.4 Generalities of active control approaches for cabin noise reduction
13.5 Noise control at source
13.6 A target noise control strategy
13.7 Main results of the field experimentation
14 ANC for road noise attenuation
14.2 Constraint multiple filtered-x LMS algorithm
14.3 Constraint XLMS algorithm using an IIR-based filter
14.4 Experimental results
15 Techniques for real-time processing
15.2 The cantilever beam system
15.3 Active vibration control
15.4 Hardware architectures
15.5 Software support
15.6 Partitioning and mapping of algorithms
15.7 The combined simulation, identification and control algorithm
-Index |
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Active sound and vibration control / Osman Tokhi
