Actual seismic response controlled building with semi‐active damper system

et al. 2012

MIC

In this work, a new strategy to design passive energy dissipation systems for vibration control of large structures is presented. The method is based on the equivalence between passive damping systems and fully decentralized static velocity-feedback controllers. This equivalence allows to take advantage of recent developments in static output-feedback control design to formulate the passive-damping design as a single optimization problem with Linear Matrix Inequality constraints. To illustrate the application of the proposed methodology, a passive damping system is designed for the seismic protection of a five-story building with excellent results.

Section: Building Modelmentioning

confidence: 99%

ptimal passive-damping design using a decentralized velocity-feedback H-Infinity approach

Quiñonero¹,

Massegú²,

et al. 2012

MIC

“…Let us consider the particular five-story building model [23] corresponding to the mass, stiffness and damping parameters presented in Table 1. For this small-building problem, we first solve the LMI optimization problem P ∞ in (13) with the matrices A, B and E in (40) and the controlled-output matrices in (44) with n = 5 and the scaling factor α = 10 −7.3 , obtaining the H ∞ control gain matrix Table 2: Computation time (in seconds) corresponding to the H ∞ , energy-to-peak (ETP) and energy-tocomponentwise-peak (ETCWP) control gain matrices obtained for the five-story building.…”

Section: Numerical Resultsmentioning

confidence: 99%

Computational Effectiveness of Lmi Design Strategies for Vibration Control of Large Structures

Quiñonero¹,

Massegú²,

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

et al. 2016

“…, 5 denote the mass and stiffness coefficients of the i-th story, respectively. For the building model used in this paper, the mass and stiffness values presented in Table 1 are considered [26]. To compute the damping matrix, a Rayleigh damping matrix with a 2% damping ratio on the first and fifth modes has been used [27], resulting: …”

Section: Structure Modelmentioning

confidence: 99%

Vibration control strategy for large‐scale structures with incomplete multi‐actuator system and neighbouring state information

nonero¹,

Massegú²,

IET Control Theory & Applications

et al. 2016

The synthesis of optimal controllers for vibrational protection of large-scale structures with multiple actuation devices and partial state information is a challenging problem. In this paper, we present a design strategy that allows computing this kind of controllers by using standard linear matrix inequality optimization tools. To illustrate the main elements of the new approach, a five-story structure equipped with two interstory actuation devices and subjected to a seismic disturbance is considered. For this control setup, three different controllers are designed: an ideal state-feedback H ∞ controller with full access to the complete state information and two static output-feedback H ∞ controllers with restricted neighbouring state information. To assess the performance of the proposed controllers, the corresponding frequency responses are investigated and a proper set of numerical simulations are conducted, using the full scale North-South El Centro 1940 seismic record as ground acceleration input. The obtained results indicate that, despite the severe information constraints, the proposed static output-feedback controllers attain a level of seismic protection that is very similar to that achieved by the ideal state-feedback controller with complete state information.