Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers

Zelleke, Daniel H.; Matsagar, Vasant

doi:10.1111/mice.12474

Cited by 20 publications

(8 citation statements)

References 58 publications

(100 reference statements)

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“…Gutierrez Soto and Adeli (2019) proposed a replicator dynamic control methodology based on game theory to reduce the vibrations of the 91/5 highway bridge in Southern California equipped with 10 lead-rubber base isolators and 12 MR dampers. Zelleke and Matsagar (2019) studied an energy-based predictive control (MBPC) algorithm for vibration reduction of a 76-story benchmark building equipped with a TMD system subjected to wind loading and evaluated the robustness against uncertainties in structural properties. While managing the uncertainties, the energy-based algorithm could also mitigate the vibration in a wide range of excitation frequency including the resonating frequency.…”

Section: Centralized Controllersmentioning

confidence: 99%

Integrating structural control, health monitoring, and energy harvesting for smart cities

2021

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Cities that are adopting innovative and technology-driven solutions to improve the city's efficiency are considered smart cities. With the increased attention on smart cities with self-driving vehicles, drones, and robots, designing smart infrastructure is only a natural extension. Smart infrastructures aim to self-diagnose, self-power, selfadapt, and self-heal during normal and extreme operating conditions. Structural vibration control (SVC) and structural health monitoring (SHM) technologies, in particular, are expected to play pivotal roles in the development of modern smart and resilient structures. SVC methodologies intend to provide supplemental damping and reduce the structural dynamic responses during normal and extreme events. SHM methodologies offer valuable information about the structure's condition that is useful for maintenance purposes and rapid damage detection in post-hazard events. The collapse of the 12-story Champlain Towers South, a beachfront condominium in the Miami suburb of Surfside, Florida, could have been known in advance with an embedded SHM technology. More recently, the integrated structural control and health monitoring (ISCHM) systems have shown promise in the development of smart cities of the future. The integrated architecture incorporates the control and health monitoring components as complementary technologies and simultaneously takes advantage of both technologies. This article provides a state-of-the-art review of ISCHM ideas and systems. It presents recent significant developments in structural control, SHM, and energy harvesting that are paving the way towards the advent of integrated ISCHM systems, including damage-tolerant control systems. This article also identifies future promising research areas for designing the next generation of autonomous ISCHM systems for smart cities.

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Section: Centralized Controllersmentioning

confidence: 99%

Integrating structural control, health monitoring, and energy harvesting for smart cities

2021

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“…(2018) introduced a hybrid control approach combining PID with LQR to improve the traditional LQR control algorithm. Zelleke and Matsagar (2019) proposed an energy‐based predictive algorithm that can be applied to structural control applications and demonstrated it with semi‐ATMDs.…”

Section: Introductionmentioning

confidence: 99%

A hybrid metaheuristic method for optimization of active tuned mass dampers

Kayabekir

Niğdeli

Bekdaş

2021

Computer aided Civil Eng

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A metaheuristic‐based tuning methodology for the optimization of active tuned mass dampers (ATMDs) is presented. The methodology considers both physical parameters of ATMDs and controller parameters of the control algorithm. The employed control algorithm is a proportional–integral–derivative type controller. ATMDs are used in structures in the reduction of structural responses resulted from earthquakes. The proposed methodologies must be feasible for real practices in construction, so consider all physical factors such as stroke capacity, limitation of the active control force, the time delay of the generated control signal, and a time‐saving one. A novel hybrid metaheuristic algorithm that combines the specific advantages of four metaheuristics (harmony search, flower pollination algorithm, teaching‐learning‐based optimization and Jaya algorithm) is proposed for the optimization process. The results of the process showed that ATMDs are more effective for high values strike limitations, compared to TMDs. The feasibility and effectiveness of the optimum control method are also demonstrated on a full‐size 76‐story structure.

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“…Several review articles are available in the existing literature that discuss the advantages of structural control in civil engineering such as the works by El-Khoury and Adeli (2013), Ghaedi et al (2017), and R. Zhang and Phillips (2019). For instance, significant contributions on structural control using smart systems on bridges and civil buildings have been investigated by H. Kim and Adeli (2005), Adeli and Saleh (1997), and Zelleke and Matsagar (2019). However, structural control is an extremely wide topic that also applies to other engineering fields such as mechanical engineering (Gutierrez Soto & Adeli, 2017c;Li & Adeli, 2018).…”

Section: Introductionmentioning

confidence: 99%

3D active dynamic actuation model for offshore cranes

Fantuzzi

Rustico

Formenti³

et al. 2021

Computer aided Civil Eng

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The handling of offshore payloads is a critical operation that presents numerous challenges, in particular related to the required precision in controlling their oscillations in a safe and accurate manner. The uncontrolled payload oscillations induced by the rolling movement of the vessel have been historically mitigated by the experience of on‐deck operators by means of taglines. The availability of experienced personnel is not always present, and a manual control operation still presents inconsistent performances and a high risk for the safety of men and machines. This study presents a novel approach to an antisway control conceived to mitigate such problems and possibly to automate some of the operations concerning the payload sway control that are currently done manually. In particular, a system consisting of a translating trolley actuated through a proportional–integral–derivative controller is taken into consideration to mitigate the oscillations induced by the vessel's rolling and pitching motion onto a three‐dimensional 8 degrees of freedom with double‐pendulum model representing the hanging payload. The study is completed through an analysis aimed to characterize the bandwidth and frequency response of the controlled closed‐loop system and highlight all the potential areas of interest for which further characterization is needed.

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Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers

Cited by 20 publications

References 58 publications

Integrating structural control, health monitoring, and energy harvesting for smart cities

Integrating structural control, health monitoring, and energy harvesting for smart cities

A hybrid metaheuristic method for optimization of active tuned mass dampers

3D active dynamic actuation model for offshore cranes

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