Shock and vibration control systems using a self-sensing magnetorheological damper

2014 ◽  
Author(s):  
Xian-Xu Bai ◽  
Dai-Hua Wang
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Magnetorheological Damper

scholarly journals Ability of Energy Harvesting Mr Damper to Act as a Velocity Sensor in Vibration Control Systems

2019 ◽  
Vol 13 (2) ◽  
pp. 135-145
Author(s):  
Maciej Rosół ◽  
Bogdan Sapiński
Keyword(s):  
Energy Harvesting ◽  
Embedded System ◽  
Vibration Control ◽  
Control Systems ◽  
Relative Velocity ◽  
Mr Damper ◽  
The Self ◽  
Magnetorheological Damper ◽  
Processing Unit ◽  
Velocity Sensor

Abstract The study investigates the self-sensing ability in an energy harvesting magnetorheological damper (EHMRD). The device consists of a conventional linear MR damper and an electromagnetic harvester. The objective of the work is to demonstrate that the EHMRD with specific self-powered feature can also serve as a velocity sensor. Main components of the device and design structure are summarized and its operation principle is highlighted. The diagram of the experimental set-up incorporating the measurement and processing unit is provided, the experimental procedure is outlined and data processing is discussed. The self-sensing function is proposed whereby the relative velocity of the EHMRD can be reconstructed from the electromotive force (emf) induced in the harvester coil. To demonstrate the adequacy of the self-sensing action (i.e., the induced emf should agree well with the relative velocity), the proposed self-sensing function is implemented and tested in the embedded system that will be a target control platform. Finally, the test results of the system utilizing a switching control algorithm are provided to demonstrate the potentials of the EHMRD acting as a velocity sensor and to confirm its applicability in semi-active vibration control systems.

scholarly journals Vibration Control of Buildings Using Magnetorheological Damper: A New Control Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Aly Mousaad Aly
Keyword(s):  
Vibration Control ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Mr Damper ◽  
Maximum Energy ◽  
Magnetorheological Damper ◽  
Control Algorithms ◽  
Earthquake Loads ◽  
Building Model ◽  
Lyapunov Controller

This paper presents vibration control of a building model under earthquake loads. A magnetorheological (MR) damper is placed in the building between the first floor and ground for seismic response reduction. A new control algorithm to command the MR damper is proposed. The approach is inspired by a quasi-bang-bang controller; however, the proposed technique gives weights to control commands in a fashion that is similar to a fuzzy logic controller. Several control algorithms including decentralized bang-bang controller, Lyapunov controller, modulated homogeneous friction controller, maximum energy dissipation controller, and clipped-optimal controller are used for comparison. The new controller achieved the best reduction in maximum interstory drifts and maximum absolute accelerations over all the control algorithms presented. This reveals that the proposed controller with the MR damper is promising and may provide the best protection to the building and its contents.

Frequency Shaped Semi-Active Control for Magnetorheological Fluid-Based Vibration Control Systems

2013 ◽  
Author(s):  
Young-Tai Choi ◽  
Norman M. Wereley ◽  
Gregory J. Hiemenz
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Active Control ◽  
Control Algorithm ◽  
Active Vibration Control ◽  
Control Algorithms ◽  
Model Parameters ◽  
Mr Fluid ◽  
Control Current ◽  
Active Vibration

Novel semi-active vibration controllers are developed in this study for magnetorheological (MR) fluid-based vibration control systems, including: (1) a band-pass frequency shaped semi-active control algorithm, (2) a narrow-band frequency shaped semi-active control algorithm. These semi-active vibration control algorithms designed without resorting to the implementation of an active vibration control algorithms upon which is superposed the energy dissipation constraint. These new Frequency Shaped Semi-active Control (FSSC) algorithms require neither an accurate damper (or actuator) model, nor system identification of damper model parameters for determining control current input. In the design procedure for the FSSC algorithms, the semi-active MR damper is not treated as an active force producing actuator, but rather is treated in the design process as a semi-active dissipative device. The control signal from the FSSC algorithms is a control current, and not a control force as is typically done for active controllers. In this study, two FSSC algorithms are formulated and performance of each is assessed via simulation. Performance of the FSSC vibration controllers is evaluated using a single-degree-of-freedom (DOF) MR fluid-based engine mount system. To better understand the control characteristics and advantages of the two FSSC algorithms, the vibration mitigation performance of a semi-active skyhook control algorithm, which is the classical semi-active controller used in base excitation problems, is compared to the two FSSC algorithms.

Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control

2007 ◽  
pp. 101-121 ◽  
Author(s):  
Faruque Ali ◽  
Ananth Ramaswamy
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Intelligent Control ◽  
Structural Control ◽  
Structural Engineering ◽  
Real Life ◽  
Fuzzy Rule ◽  
Structural Vibration ◽  
Rule Base ◽  
The Subject

The chapter introduces developments in intelligent optimal control systems and their applications in structural engineering. It provides a good background on the subject starting with the shortcomings of conventional vibration control techniques and the need for intelligent control systems. Description of a few basic tools required for intelligent control such as evolutionary algorithms, fuzzy rule base, and so forth, is outlined. Examples on vibration control of benchmark building and bridge under seismic excitation are presented to provide better insight on the subject. The chapter provides necessary background for a reader to work in intelligent structural control systems with real-life examples. Current trends in the research area are given and challenges put forward for further research.

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