Low‐force magneto‐rheological damper design for small‐scale structural control

Winter, Benjamin; Swartz, R. Andrew

doi:10.1002/stc.1990

Cited by 12 publications

(11 citation statements)

References 44 publications

(92 reference statements)

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“…Sensor data received by control nodes will be used to update Kalman estimated‐state vectors needed to compute local control forces using a standard LQR control gain. This section paper uses the same standard theory for the state‐space representation of a multi‐degree‐of‐freedom structure derived using Chopra, and the standard derivation of the LQR and a redundant Kalman estimator derived using Callier and Desoer and described in Winter and Swartz . Next, due to the need to handle random sets of data, each timestep based on the new transmission method, a Kalman estimator with state, and measurement fusion is discussed.…”

Section: Control and Estimation With Communication Schemesmentioning

confidence: 99%

Wireless structural control using stochastic bandwidth allocation and dynamic state estimation with measurement fusion

Winter

Swartz

2017

Struct Control Health Monit

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Summary Wireless sensor networks are becoming more popular for structural monitoring because of their low installation costs; in addition, coupling structural control with wireless data acquisition can also yield advantages. However, these systems have limited communication bandwidth, limiting their effectiveness as the number of devices in control networks grows large if centralized control approaches are used. Traditional methods for collocating data in wireless structural control network rely on time‐budgeted bandwidth or spatial decentralization, where the network is divided into smaller subnetworks. These methods are largely static and typically do not take into account any measure of data quality to prioritize transmissions. This study presents a dynamic approach for bandwidth allocation in wireless structural control networks that relies on an application‐specific, autonomous, and controller‐aware, carrier sense multiple access with collision detection protocol. Stochastic parameters are derived to strategically alter back‐off times in the carrier sense multiple access with collision detection algorithm based on nodal observability and output estimation error. Inspired by data fusion approaches, this paper presents 2 different methods for neighborhood state estimation using a dynamic form of measurement‐only fusion. Upon receiving data from the contended wireless medium, each wireless unit fuses incoming data using a precalculated static Kalman gain matrix for the corresponding dynamic neighborhood. Onboard, each wireless unit contains a library of Kalman gain matrices, to accommodate any possible set of communicated data. Both numerical simulations and small‐scale laboratory experimental results are presented.

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Section: Control and Estimation With Communication Schemesmentioning

confidence: 99%

Wireless structural control using stochastic bandwidth allocation and dynamic state estimation with measurement fusion

Winter

Swartz

2017

Struct Control Health Monit

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“…Besides requiring less external energy, in general semi-active vibration control leads to increased overall stability compared to active control [1,2]. For those reasons, the use of semi-active control systems is a trending research theme and can be found applied in many distinct engineering areas such as vehicles suspensions and smart structures just to name a few [3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Semi-Active Vibration Control of a Non-Collocated Civil Structure Using Evolutionary-Based BELBIC

2019

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A buildings resilience to seismic activity can be increased by providing ways for the structure to dynamically counteract the effect of the Earth’s crust movements. This ability is fundamental in certain regions of the globe, where earthquakes are more frequent, and can be achieved using different strategies. State-of-the-art anti-seismic buildings have, embedded on their structure, mostly passive actuators such as base isolation, Tuned Mass Dampers (TMD) and viscous dampers that can be used to reduce the effect of seismic or even wind induced vibrations. The main disadvantage of this type of building vibration reduction strategies concerns their inability to adapt their properties in accordance to both the excitation signal or structural behaviour. This adaption capability can be promoted by adding to the building active type actuators operating under a closed-loop. However, these systems are substantially larger than passive type solutions and require a considerable amount of energy that may not be available during a severe earthquake due to power grid failure. An intermediate solution between these two extremes is the introduction of semi-active actuators such as magneto–rheological dampers. The inclusion of magneto–rheological actuators is among one of the most promising semi-active techniques. However, the overall performance of this strategy depends on several aspects such as the actuators number and location within the structure and the vibration sensors network. It can be the case where the installation leads to a non-collocated system which presents additional challenges to control. This paper proposes to tackle the problem of controlling the vibration of a non-collocated three-storey building by means of a brain–emotional controller tuned using an evolutionary algorithm. This controller will be used to adjust the stiffness coefficient of a magneto–rheological actuator such that the building’s frame oscillation under earthquake excitation, is mitigated. The obtained results suggest that, using this control strategy, it is possible to reduce the building vibration to secure levels.

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“…After 3–6 months of operation, the batteries must be replaced, necessitating maintenance. Wireless sensors have been applied in structural health monitoring and have good development for wireless structural control . It also has a good application effect in conductor monitoring …”

Section: Introductionmentioning

confidence: 99%

Design of a wireless vibration metre for conductor vibration monitoring

Zhao

Huang

Zhao

et al. 2018

Struct Control Health Monit

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Summary We present a vibration metre for conductor vibration measurement that is highly accurate due to its robustness against interference from the electromagnetic environment. According to the range of load currents in the transmission line, a power supply module based on induction charging is designed for the vibration metre. The module is composed of three parts: the mutual inductor obtains electrical energy from the transmission line based on the electromagnetic induction principle, the power controller manages the charging and discharging of a lithium battery, and the lithium battery supplies power to all modules and sensors. A cantilever beam displacement sensor is used to measure the vibration amplitude of the conductor. Moreover, a calibration method based on two‐dimensional regression is proposed to address the linear variation of the sensor output due to frequency variations. The corresponding test platform for power supply and accuracy is established, and the experiments verify the feasibility and accuracy of the vibration metre. Furthermore, the vibration metre is tested on a conductor spanning 105 m at Xi'an Polytechnic University. The test data show the number of amplitudes appearing at different frequencies within 10 days, which indicates the characteristics of vibration during this time.

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Low‐force magneto‐rheological damper design for small‐scale structural control

Cited by 12 publications

References 44 publications

Wireless structural control using stochastic bandwidth allocation and dynamic state estimation with measurement fusion

Wireless structural control using stochastic bandwidth allocation and dynamic state estimation with measurement fusion

Semi-Active Vibration Control of a Non-Collocated Civil Structure Using Evolutionary-Based BELBIC

Design of a wireless vibration metre for conductor vibration monitoring

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