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 alreadycomputationally demanding on-line process even more complex. Model PredictiveVibration 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 ofcomputationally 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 inclusionof over 230 figures and 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. . Includes more than 230 illustrations, photographs, diagrams and several tables to clearly illustrate and explain content. Takes the reader through the necessary steps in understanding the founding idea of predictive control. Compares different predictive control strategies in simulations and experiments. INDICE: 1. Introduction. 2. Basics of Vibration Dynamics. 3. Smart Materials in Active Vibration Control. 4. Algorithms in Active Vibration Control. 5. Laboratory Demonstration Hardware for AVC. 6. Basic MPC Formulation. 7. Stability and Feasibility of MPC. 8. Efficient MPC Algorithms. 9. Applications of Model Predictive Vibration Control. 10. MPC Implementation for Vibration Control. 11. Simulation Study of Model Predictive Vibration Control. 12. ExperimentalModel Predictive Vibration Control. A. FE Modeling of the Active Structure. B. MPC Code Implementation Details.

• ISBN: 978-1-4471-2332-3
• Editorial: Springer London
• Encuadernacion: Cartoné
• Páginas: 579
• Fecha Publicación: 31/12/2011
• Nº Volúmenes: 1
• Idioma: Inglés