RT info:eu-repo/semantics/article
T1 Evolutionary computation-based active mass damper implementation for vibration mitigation in slender structures using a low-cost processor
A1 Peláez Rodríguez, César
A1 Magdaleno González, Álvaro
A1 Iglesias Pordomingo, Álvaro
A1 Pérez Aracil, Jorge
K1 Vibration
K1 Vibration, Dynamical Systems, Control
K1 Damping (Mechanics)
K1 Amortiguación (Mecánica)
K1 Control engineering
K1 Computer engineering
K1 Microprocessors
K1 Microprocesadores
K1 Evolutionary computation
K1 Computación evolutiva
K1 Computer science
K1 Artificial intelligence
K1 2201.11 Vibraciones
K1 3311.02 Ingeniería de Control
K1 1203 Ciencia de Los Ordenadores
K1 1203.04 Inteligencia Artificial
AB This work is devoted to design, implement and validate an active mass damper (AMD) for vibration mitigation in slender structures. The control law, defined by means of genetic algorithm optimization, is deployed on a low-cost processor (NI myRIO-1900), and experimentally validated on a 13.5-m lively timber footbridge. As is known, problems arising from human-induced vibrations in slender, lightweight and low-damped structures usually require the installation of mechanical devices, such as an AMD, in order to be mitigated. This kind of device tends to reduce the movement of the structure, which can be potentially large when it is subjected to dynamic loads whose main components match its natural frequencies. In those conditions, the AMD is sought to improve the comfort and fulfil the serviceability conditions for the pedestrian use according to some design guides. After the dynamic identification of the actuator, the procedure consisted of the experimental characterization and identification of the modal properties of the structure (natural frequencies and damping ratios). Once the equivalent state space system of the structure is obtained, the design of the control law is developed, based on state feedback, which was deployed in the low-cost controller. Finally, experimental adjustments (filters, gains, etc.) were implemented and the validation test was carried out. The system performance has been evaluated using different metrics, both in the frequency and time domain, and under different loads scenarios, including pedestrian transits to demonstrate the feasibility, robustness and good performance of the proposed system. The strengths of the presented work reside in: (1) the use of genetic evolutionary algorithms to optimize both the state estimator gain and the feedback gain that commands the actuator, whose performance is further tested and analyzed using different fitness functions related to both time and frequency domains and (2) the implementation of the active control system in a low-cost processor, which represents a significant advantage when it comes to implement this system in a real structure.
PB MDPI
SN 2076-0825
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/68740
UL https://uvadoc.uva.es/handle/10324/68740
LA eng
NO Actuators, 2023, Vol. 12, Nº. 6, 254
NO Producción Científica
DS UVaDOC
RD 21-dic-2024