| Foreword | p. xiii |
| Authors | p. xix |
| Review of fundamentals | p. 1 |
| An overview of ASVC: from laboratory curiosity to commercial products | p. 3 |
| Introduction | p. 3 |
| Active Noise Control | p. 4 |
| Early investigations | p. 4 |
| The energy objection | p. 4 |
| The JMC theory | p. 5 |
| One-dimensional sound propagation, algorithms | p. 6 |
| Interaction of primary and secondary sources | p. 10 |
| Waveform synthesis for (quasi)periodic noise | p. 12 |
| Small volumes - personal noise protection | p. 13 |
| Local cancellation | p. 13 |
| Three-dimensional sound fields in enclosures | p. 14 |
| Free-field active noise control | p. 16 |
| Active Control of Vibrations | p. 17 |
| Early applications | p. 17 |
| AVC for beams, plates and structures | p. 17 |
| Active mounts | p. 19 |
| Civil engineering structures | p. 20 |
| Active and adaptive optics | p. 20 |
| Noise reduction by active structural control | p. 21 |
| Active Flow Control | p. 22 |
| Conclusions | p. 23 |
| ANC in three-dimensional propagation | p. 25 |
| Introduction | p. 25 |
| Active noise control structure | p. 27 |
| Physical extent of cancellation | p. 30 |
| The field cancellation factor | p. 30 |
| Three-dimensional description of cancellation | p. 33 |
| Limitations in the controller design | p. 40 |
| Single-input single-output structure | p. 40 |
| Single-input multi-output structure | p. 44 |
| System stability | p. 47 |
| Gain margin | p. 49 |
| Phase margin | p. 52 |
| Conclusions | p. 54 |
| Adaptive methods in active control | p. 57 |
| Introduction | p. 57 |
| Feedforward control | p. 59 |
| Single-channel feedforward control | p. 59 |
| Feedback control | p. 65 |
| Fixed feedback controllers | p. 65 |
| Internal model control | p. 66 |
| Adaptive feedback control | p. 69 |
| Conclusions | p. 70 |
| Recent algorithmic developments | p. 73 |
| Multichannel active noise control: stable adaptive algorithms | p. 75 |
| Introduction | p. 75 |
| Multichannel active noise control problems | p. 76 |
| Structure and Algorithms | p. 78 |
| Error system description in Case 1 | p. 78 |
| Robust adaptive algorithm | p. 80 |
| Error system description in Case 2 | p. 82 |
| Identification-based adaptive control in case 1 | p. 83 |
| Identification of equivalent primary and secondary channel matrices | p. 83 |
| Identification-based adaptive controller | p. 84 |
| Experimental results using the proposed adaptive algorithms | p. 85 |
| Conclusions | p. 89 |
| Appendix: proof of the theorem | p. 90 |
| Adaptive harmonic control: tuning in the frequency domain | p. 97 |
| Introduction | p. 97 |
| Problem formulation | p. 100 |
| A frequency selective RLS solution | p. 103 |
| A frequency selective LMS solution | p. 107 |
| Simulation example | p. 110 |
| Conclusions | p. 115 |
| Model-free iterative tuning | p. 117 |
| Introduction to iterative controller tuning | p. 117 |
| The online tuning scheme | p. 121 |
| The online FSF tuning scheme | p. 124 |
| Simulations | p. 126 |
| Conclusions | p. 132 |
| Model-based control design for AVC | p. 135 |
| Introduction | p. 135 |
| Problem description | p. 137 |
| H[subscript infinity] controller optimisation under model uncertainty | p. 143 |
| Examples | p. 145 |
| Glass plate attenuation | p. 145 |
| Active mounts | p. 148 |
| Instrument base plate/enclosure attenuation | p. 150 |
| Identification of empirical models for control | p. 151 |
| Conclusions | p. 154 |
| ANVC using neural networks | p. 159 |
| Introduction | p. 159 |
| Neural networks | p. 161 |
| Neural network models | p. 161 |
| Multilayered perceptron networks | p. 161 |
| Radial basis function networks | p. 163 |
| Structure validation | p. 166 |
| Neuro-active noise control | p. 167 |
| Frequency-response measurement scheme | p. 169 |
| Decoupled linear/nonlinear system scheme | p. 170 |
| Direct neuro-modelling and control scheme | p. 173 |
| Implementations and results | p. 175 |
| Frequency-response measurement scheme | p. 176 |
| Decoupled linear/nonlinear system scheme | p. 176 |
| Direct neuro-modelling and control scheme | p. 179 |
| Conclusions | p. 182 |
| Genetic algorithms for ASVC systems | p. 185 |
| Introduction | p. 186 |
| The genetic algorithm | p. 187 |
| Coding selection for search variables | p. 191 |
| Parent selection | p. 193 |
| Crossover | p. 197 |
| Mutation | p. 200 |
| Sharing | p. 201 |
| Control source location optimisation example | p. 203 |
| Analytical model | p. 203 |
| Genetic algorithm formulation | p. 206 |
| Results | p. 208 |
| Example of control filter weight optimisation | p. 214 |
| Conclusions | p. 220 |
| Acknowledgments | p. 220 |
| Applications | p. 221 |
| ANC Around a human's head | p. 223 |
| Introduction | p. 223 |
| Outline of the system | p. 224 |
| Simulation | p. 228 |
| Purpose of simulation | p. 228 |
| ANC for a single primary source propagation | p. 229 |
| Diffuse sound field | p. 230 |
| Conclusions | p. 237 |
| Active Control of Microvibrations | p. 241 |
| Introduction | p. 242 |
| System description and modelling | p. 244 |
| Mass loaded panel | p. 244 |
| Modelling of equipment loaded panels | p. 251 |
| Model verification | p. 256 |
| Control systems design | p. 260 |
| Robustness analysis | p. 267 |
| Conclusions | p. 271 |
| Vibration control of manipulators | p. 275 |
| Introduction | p. 275 |
| The flexible manipulator system | p. 278 |
| Dynamic formulation | p. 278 |
| The flexible manipulator test rig | p. 281 |
| Open-loop control | p. 282 |
| Filtered torque input | p. 283 |
| Gaussian-shaped torque input | p. 287 |
| Switching surface and variable structure control | p. 293 |
| Switching surface design | p. 296 |
| Stability analysis of the switching surface | p. 298 |
| Adaptive variable structure control scheme | p. 300 |
| Simulations | p. 302 |
| Adaptive joint-based collocated control | p. 310 |
| Adaptive inverse-dynamic active control | p. 312 |
| Conclusions | p. 316 |
| ANC in an electric locomotive | p. 319 |
| Introduction | p. 319 |
| Noise sources in electric trains | p. 320 |
| Aerodynamic noise | p. 320 |
| Wheel-rail noise | p. 321 |
| Equipment on the locomotive | p. 321 |
| Electric motors | p. 321 |
| Locomotive noise characterisation | p. 322 |
| Noise measurements inside the locomotive | p. 323 |
| Noise characterisation | p. 323 |
| Cabin noise analysis (microphones 1, 2, 3) | p. 324 |
| Fan compressor noise (microphone 4) | p. 325 |
| Air conditioner noise (microphone 5) | p. 326 |
| Aerodynamic noise (microphone 6) | p. 326 |
| Wheel-rail noise (microphone 7) | p. 326 |
| Generalities of active control approaches for cabin noise reduction | p. 327 |
| Noise control at source | p. 327 |
| A target noise control strategy | p. 333 |
| Main results of the field experimentation | p. 338 |
| Conclusions | p. 339 |
| Acknowledgements | p. 340 |
| Appendix | p. 341 |
| Introduction | p. 341 |
| Digital processing circuit | p. 341 |
| Analogue interface board | p. 343 |
| Software environments | p. 344 |
| ANC for road noise attenuation | p. 345 |
| Introduction | p. 345 |
| Constraint multiple filtered-x LMS algorithm | p. 347 |
| Constraint XLMS algorithm using an IIR-based filter | p. 348 |
| Experimental results | p. 349 |
| Conclusions | p. 353 |
| Acknowledgments | p. 353 |
| Techniques for real-time processing | p. 355 |
| Introduction | p. 355 |
| The cantilever beam system | p. 359 |
| Active vibration control | p. 360 |
| Hardware architectures | p. 363 |
| Uniprocessor architectures | p. 363 |
| Homogeneous architectures | p. 364 |
| Heterogeneous architectures | p. 364 |
| Software support | p. 366 |
| Partitioning and mapping of algorithms | p. 366 |
| Implementations and results | p. 368 |
| Interprocessor communication | p. 368 |
| Compiler efficiency | p. 374 |
| Code optimisation | p. 374 |
| Simulation algorithm | p. 377 |
| The identification algorithm | p. 379 |
| The control algorithm | p. 379 |
| The combined simulation, identification and control algorithm | p. 380 |
| Comparative performance of the architectures | p. 380 |
| Conclusions | p. 382 |
| Bibliography | p. 389 |
| Index | p. 421 |
| Table of Contents provided by Syndetics. All Rights Reserved. |
