Vehicle Dynamics Control Based on Linear Quadratic Regulator

Zhang, Si Qi; Zhang, Tian Xia; Zhou, Shu Wen

doi:10.4028/www.scientific.net/amm.16-19.876

Cited by 1 publication

(1 citation statement)

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“…In LQR, all continuous time state-space variables are available and given by equation ( 3). The external force term in equation ( 3) is treated as a noise input hence equation ( 3) can be written as [7]: (10) The LQR controller is seek to find out the optimal control force u(t) which minimize the deterministic cost functional J given by Applied Mechanics and Materials Vol. 421…”

Section: Optimum Parameters Of Tmdmentioning

confidence: 99%

LQR Control of Along-Wind Response of a Tall Building

Kim

You

et al. 2013

AMM

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Modern tall buildings using high strength and lighter construction materials are more flexible so could be excessive wind-induced vibrations resulting in occupant discomfort and structural unsafety. Recently, many studies have been advanced in using actuator force as an active control force based on the linear quadratic optimum control theory .It needs to predict the wind-induced response and the optimum control force to reduce the excessive wind-induced vibration. It takes a lot of time and cost to do wind tunnel test needed it, so numerical simulation approach instead of that is recommended sometimes. Simulating wind load in the time domain using known spectra data of fluctuating wind load is particularly useful for some prediction of windinduced vibration which is more or less narrow banded process such as a along-wind response of a tall building. In this study, fluctuating along-wind load acting on a tall building treated as a stationary Gaussian white noise process was simulated numerically in the time domain using the along-wind load spectra proposed by G.Solari in1992. And using this simulated along-wind load estimated the reduced along-wind vibration response of a tall building which has an active tuned mass damper (ATMD) installed based on the linear quadratic regulator (LQR) control method.

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Section: Optimum Parameters Of Tmdmentioning

confidence: 99%