3 edition of Semi-active control algorithms for structures with variable dampers found in the catalog.
Semi-active control algorithms for structures with variable dampers
by U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology in Gaithersburg, MD
Written in English
|Statement||Fahim Sadek and Bijan Mohraz.|
|Contributions||Mohraz, Bijan., National Institute of Standards and Technology (U.S.)|
|The Physical Object|
|Pagination||xi, 29 p.|
|Number of Pages||29|
This comprehensive handbook is designed to provide the reader with the knowledge needed to successfully implement an active, hybrid or semi-active control system to a structure, safeguarding it against environmental forces such as wind or earthquakes. Written by leading experts in structural control, this book: Emphasises fail-safe techniques and validates their implementation through . semi–active control concepts like the presented one to the context of adaptive structures and adaptronics . In this contribution, strategies for the semi–active vibration control by controlling the normal force between frictional interfaces between a beam structure and a damper element are investigated. Previous work has shown the File Size: 1MB.
Semi-active control of buildings and structures with magnetorheological (MR) dampers for earthquake hazard mitigation represents a relatively new research area. In this paper, the Bingham model of MR damper is introduced, and the formula relating the yielding shear stress and the control current of MR dampers is put forward that matches the Cited by: Semi-Active Control of Structures Using a Neuro-Inverse Model of MR Dampers A. Khaje-Karamodin1, H. Haji-Kazemi1;, A.R. Rowhanimanesh2 and M.R. Akbarzadeh-Tootoonchi2 Abstract. A semi-active controller-based neural network for a 3 story nonlinear benchmark structure equipped with a Magneto Rheological (MR) damper is presented and by:
Although variable stiffness devices can be used for seismic control of structures, the vast majority of research effort has been given to the control of damping. The primary focus of this dissertation is to evaluate the seismic control of structures using semi-active and passive variable Cited by: 2. A. K‐Karamodin and H. H‐Kazemi, Semi‐active control of structures using neuro‐predictive algorithm for MR dampers, Structural Control and Health Monitoring, Cited by:
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They include: (1) Active variable stiffness, where the stiffness of the structure is adjusted to establish a nonresonant condition between the structure and excitation; and (2) active variable damper, where the damping coefficient of the device is varied to achieve the most reduction in the response.
Semi-active coupling control of a building complex, which consists of a main building and a podium structure, using variable friction dampers is investigated in this paper for mitigating seismic responses.
The mathematical model of a building complex with variable friction dampers under earthquake excitation is first by: Numerous semi-active control algorithms for friction-type variable dampers have been proposed in previous research, such as bang–bang control, off–on control, modulated homogenous control, combined viscous and Reid control, friction-force incremental control, semi-active optimal control, predictive control, etc.
In general, these control laws may be classified as either Cited by: Variable oriﬁce dampers (VODs) are one of the common semi-active devices that can be used to control the response of civil Structures during seismic loads. To prove the efficiency of the proposed method, numerical simulations for a story shear building frame equipped with VODs are presented.
The controlled response of the frame was compared with results obtained by controlling the frame by the classical clipped-optimal control method Cited by: 2. A semi-active isolation system generally consists of a set of passive isolation bearings and a certain type of semi-active control devices, such as MR damper (Sahasrabudhe et.
al., ), variable. This is the aim of this chapter which focusses on the “brain” of the semi-active suspension, the control algorithm. A brief and succinct overview of control fundamentals (PID, adaptive and robust control) is firstly provided, then robust control algorithms will be analysed, with a particular focus on variable structure control.
The structure of the book follows a classical path of control-system design; it discusses the actuator or the variable-damping shock absorber, models and technologies. It also models and discusses the vehicle that is equipped with semi-active dampers, and the control algorithms.
control algorithms. A brief description of important semi-active control devices, such as semi-active stiffness dampers and semi-active variable dampers, controllable friction dampers and controllable fluid dampers, such as ER and MR dampers, and numerous control algorithms based on the state-of-the-art review has been presented.
Study on semi‐active tuned mass damper with variable damping and stiffness under seismic excitations Both far‐field and near‐fault ground motions are used to examine the effectiveness of the STMD and the control algorithm. Displacement time history and response (displacement and acceleration) spectra are obtained for the cases of an Cited by: Xu and Ng present the results of semi-active control testing of a piezo-driven variable friction damper on a scaled laboratory model of a rectangular, steel-frame, m tall, story building surrounded by a three-bay by one-bay, m tall, three-story podium structure.
The piezo-driven variable friction damper works by utilizing a PZT actuator to apply pressure to a sliding steel plate, Cited by: The semi-active dampers were installed in the lateral bracing of the structure and the mechanical properties of the dampers were modified according to control algorithms which utilized the.
Semi-active control algorithms for structures with variable dampers Author: Fahim Sadek ; Bijan Mohraz ; National Institute of Standards and Technology (U.S.). Also, two semi-active control algorithms (modulated homogeneous friction and the clipped-optimal control algorithms) are applied to the MR damper in order to optimally control the structural.
active system. Different semi-active algorithms based on the clipped-optimal and fuzzy control strategies are studied using numerical examples. The main objective of this paper is to study the effectiveness of different control algorithms for semi-active tuned liquid dampers for structural control applications.
Elsevier Science Ltd. Semi-active control of civil structures using magnetorheological dampers Conference Paper in Proceedings of the American Control Conference - February with 38 Reads.
In this paper, a variable-damping tuned liquid column damper is studied in a semi-active framework. Different semi-active algorithms such as the clipped-optimal continuously varying and on–off strategies are studied and compared.
Numerical examples are presented: the first example examines a multiple-degree-of-freedom (MDOF) system combined with a TLCD subjected to harmonic excitation controlled using three types of control strategy Cited by: Request PDF | On Jan 1,N.
Caterino and others published SHAKING TABLE TESTS TO COMPARE SEMI-ACTIVE CONTROL ALGORITHMS FOR VARIABLE DAMPERS | Find, read and cite all the research you need on. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper describes the application of a semi-active variable viscous (SAVV) damper for reducing the response of a seismically excited hysteretic structure.
Two algorithms for selecting the damping properties of the SAVV damper were used: the Linear Quadratic Regulator (LQR) and the Sliding Mode Control (SMC) algorithms. Semi-Active Control Strategies for MR Dampers: A Comparative Study Laura M. Jansen1 and Shirley J. Dyke2 Abstract This paper presents the results of a study to evaluate the performance of a number of recently proposed semi-active control algorithms for use with multiple MR dampers.
A variety of control algorithms used in recent semi-active controlFile Size: KB. The Use of Damping Based Semi-Active Control Algorithms in the Mechanical Smart-Spring System In this paper, the modeling of the smart spring mechanism is presented and two semi-active control algorithms are employed to promote vibration reduction through enhanced damping effects.
The first control technique is the smart-spring resetting Cited by: 1. Robust semi-active control for uncertain structures and smart dampers Arash Yeganeh Fallah and Touraj Taghikhany Department of Civil Engineering, Amirkabir University of Technology, Tehran, Iran E-mail: [email protected] and [email protected] Received 2 Marchrevised 3 July Accepted for publication 8 July Published gain-scheduling procedure for optimal control of a semi-active variable oriﬁce damper.
This procedure, along with a set of rubber bearings, effectively controlled a small-scale structure. Feedback from accelerometers is exploited, but an H∞ observer recovers the remaining state feedback by: Semiactive Control Strategies for MR Dampers: Comparative Study displacements for determining the control action to ensure that the algorithms could be implemented on a physical structure.
The performance of the algorithms is compared through a numerical example, and the advantages of each algorithm are discussed.