Ebook: Model Predictive Vibration Control: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures

Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility.

In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:

· the implementation of computationally efficient algorithms

· control strategies in simulation and experiment and

· typical hardware requirements for piezoceramics actuated smart structures.

The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.

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Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility.

In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:

· the implementation of computationally efficient algorithms

· control strategies in simulation and experiment and

· typical hardware requirements for piezoceramics actuated smart structures.

The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.

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Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility.

In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:

· the implementation of computationally efficient algorithms

· control strategies in simulation and experiment and

· typical hardware requirements for piezoceramics actuated smart structures.

The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.

Content:
Front Matter....Pages i-xxxvii
Introduction....Pages 1-22
Front Matter....Pages 23-23
Basics of Vibration Dynamics....Pages 25-64
Smart Materials in Active Vibration Control ....Pages 65-103
Algorithms in Active Vibration Control....Pages 105-140
Laboratory Demonstration Hardware for AVC....Pages 141-203
Front Matter....Pages 203-203
Basic MPC Formulation ....Pages 207-251
Stability and Feasibility of MPC....Pages 253-285
Efficient MPC Algorithms....Pages 287-322
Front Matter....Pages 319-319
Applications of Model Predictive Vibration Control....Pages 325-359
MPC Implementation for Vibration Control....Pages 361-389
Simulation Study of Model Predictive Vibration Control....Pages 391-425
Experimental Model Predictive Vibration Control....Pages 427-465
Back Matter....Pages 467-515

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Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility.

In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as:

· the implementation of computationally efficient algorithms

· control strategies in simulation and experiment and

· typical hardware requirements for piezoceramics actuated smart structures.

The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.

Content:
Front Matter....Pages i-xxxvii
Introduction....Pages 1-22
Front Matter....Pages 23-23
Basics of Vibration Dynamics....Pages 25-64
Smart Materials in Active Vibration Control ....Pages 65-103
Algorithms in Active Vibration Control....Pages 105-140
Laboratory Demonstration Hardware for AVC....Pages 141-203
Front Matter....Pages 203-203
Basic MPC Formulation ....Pages 207-251
Stability and Feasibility of MPC....Pages 253-285
Efficient MPC Algorithms....Pages 287-322
Front Matter....Pages 319-319
Applications of Model Predictive Vibration Control....Pages 325-359
MPC Implementation for Vibration Control....Pages 361-389
Simulation Study of Model Predictive Vibration Control....Pages 391-425
Experimental Model Predictive Vibration Control....Pages 427-465
Back Matter....Pages 467-515
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