A shallow-depth sloshing absorber for structural control

Marsh, Adam; Prakash, Mahesh; Semercigil, S.E.; Turan, Ozden

doi:10.1016/j.jfluidstructs.2010.03.006

Cited by 21 publications

(5 citation statements)

References 21 publications

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“…A commonly used model to represent the slosh in the container system is a simple pendulum 24 as shown in Figure 1.…”

Section: Modeling Of Liquid Sloshmentioning

confidence: 99%

Modeling and adaptive robust wavelet control for a liquid container system under slosh and uncertainty

Аl-Мashhadani

2020

Measurement and Control

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Liquid sloshing in moving or stationary containers and flexible uncertainty caused by the slosh are considered to be the most probable causing unexpected coupling effects on the dynamics of many systems such as aerospace, ground vehicles, and high speed industries arms. The coupling of dynamic liquid slosh in a container system with the uncertainty caused by the sensors or dampers is rare documented and this coupling can be considered as a highly nonlinear system. In this paper, an investigation is presented to demonstrate a new approach for enabling the reduction of the liquid slosh and uncertainty by implementing adaptive robust wavelet control technique. Starting by creating the mathematical dynamic model for the nonlinear slosh coupled by uncertainty, adaptive robust control based wavelet transform is applied for calculating optimal motion that minimize residual slosh and uncertainty. Subsequently the adaptive robust control based wavelet network approximation and the appropriate parameter algorithms for the container system with slosh and uncertainty are derived to achieve the feedback linearization, adaptive control, and H∞ tracking performance. The simulation results show that the effects of slosh errors and external uncertainty can be successfully attenuated within a desired attenuation level.

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“…A commonly used model to represent the slosh in the container system is a simple pendulum 24 as shown in Figure 1.…”

Section: Modeling Of Liquid Sloshmentioning

confidence: 99%

Modeling and adaptive robust wavelet control for a liquid container system under slosh and uncertainty

Аl-Мashhadani

2020

Measurement and Control

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“…Due to constraints of liquid slosh measurement, several passive approaches are executed to control the liquid slosh. For instance, absorbers and baffles are used as a passive elements to reduce the slosh energy in the container [4][5]. The drawbacks of these approaches to the system are heavy, bulky, require much time to construct and complex.…”

Section: Introductionmentioning

confidence: 99%

Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO

Tumari

Abidin

Subki

et al. 2020

IJEECS

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<span>Conventionally, the control of liquid slosh system is done based on model-based techniques that challenging to implement practically because of the chaotic motion of fluid in the container. The aim of this article is to develop the tuning technique for model-free PID with derivative filter (PIDF) parameters for liquid slosh suppression system based on particle swarm optimization (PSO). PSO algorithm is responsible to find the optimal values for PIDF parameters based on fitness functions which are Sum Squared Error (SSE) and Sum Absolute Error (SAE) of the cart position and liquid slosh angle response. The modelling of liquid slosh in lateral movement is considered to justify the design of control scheme. The PSO tuning method is compared by heuristic tuning method in order to show the effectiveness of the proposed tuning approach. The performance evaluations of the proposed tuning method are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction in time domain. Based on the simulation results, the suggested tuning method is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank without precisely model the chaotic motion of the fluid.</span>

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“…(2014), Marsh et al. (2010a, 2010b, 2011), Pal and Bhattacharyya (2010), Shao et al. (2012), Souto-Iglesias et al.…”

Section: Introductionmentioning

confidence: 99%

Development of a new algorithm for fluid sloshing-vehicle dynamic coupled simulation and its experimental validation

Abbasi

Durali

2017

Journal of Vibration and Control

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Traditional methods for analyzing the dynamics of fluid-carrying vehicles such as pendulum or mass–spring models do not yield accurate results, thus seeking new methods for investigating the dynamics of these vehicles is desirable. The objective of this study is to find a new methodology for handling the dynamics of such systems. In this paper, an algorithm is proposed by which a data bridge is implemented between two commercial software programs such that a coupled simulation of the carrier and fluid dynamics is achieved. Unlike alternative mechanical models, the most important feature of this method is its validity during all events regardless of carrier position and orientation. Finally, this approach is validated by experiments. Experimental results are in excellent agreement with simulations. In addition, unlike existing algorithms, the proposed algorithm is numerically stable.

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A shallow-depth sloshing absorber for structural control

Cited by 21 publications

References 21 publications

Modeling and adaptive robust wavelet control for a liquid container system under slosh and uncertainty

Modeling and adaptive robust wavelet control for a liquid container system under slosh and uncertainty

Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO

Development of a new algorithm for fluid sloshing-vehicle dynamic coupled simulation and its experimental validation

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