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semi active control MR damper
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Vibration Control of Structures using Semi-
active MR Dampers
Contents
Introduction Types of controls Semi-active controls Semi-active control devices MR Fluid Dampers Mathematical models of MR dampers Semi-active control algorithms Closure
2
Introduction
Seismically-excited Structures
3
Contd….
Wind-excited Structures Human-excited Structures
4
Tacoma Narrows Bridge, Tacoma, Washington
Millennium Foot Bridge, London, England
Control System
Structure
Structure
SensorsSensors
Controller
Controller
Actuator
Actuator
Seismic InputSeismic Input
5
Control Input
Seismic Response Control Principles Reduce the effect of seismic excitation
Prevent a structure from exhibiting the
resonance vibration
Transfer the vibration energy of a main
structure to the secondary oscillator
Put additional damping effect to a structure
Add a control force to a structure
6
Classification of Structural Control
7
Active control + External control force to reduce the responses
(i.e., provides input voltage)+ Voltages required are computed by controller
using certain algorithms with inputs from sensors.
+ Sensors measure motion (strains, displ, vel, accl.)
+ Actuators apply forces to structure, thereby adding or dissipating energy
Destabilization possible. External power may not be available during
earthquake. 8
Passive control
+ Passive control device imparts forces that are developed directly as a result of motion of structure (i.e., no actuator involved).
+ No external power+ Total energy (structure + passive device)
cannot increase, hence inherently stable. No adaptability to various external load Not as effective as active, hybrid, semi-
active control
9
Semi-active control
As an active control system, it monitors the
feed-back measurement, and generates
appropriate command signal.
As a passive control system, control forces are
developed as a result of the motion of the
structure.
Reliability of passive system with adaptability of
active system
10
Semi-active control devices
11
Variable-Orifice Dampers
Variable friction dampers
Controllable fluid dampers
MR dampers
ER dampers
Semi-active control devices
Variable-Orifice Dampers
Variable friction dampers
Controllable fluid dampers
MR dampers
ER dampers
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Semi-active control devices
Variable-Orifice Dampers
Variable friction dampers
Controllable fluid dampers
MR dampers
ER dampers
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MR Fluid Dampers
Characteristics of MR fluid
Without Magnetic Fields
With Magnetic Fields
14
Attractive features
High dissipative force at low velocity Inherent stability and failure-safety Continual optimization High dynamic range Mechanical simplicity Fast response-time Small device size Large temperature range
15
Annular Orifice
Force vs Displacement curve of MRD
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Wang et.al,” Magnetorheological fluid dampers: a review of parametric modelling”, Smart Mater. Struct. 20 (2011)
Force vs Velocity curve of MRD
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Wang et.al,” Magnetorheological fluid dampers: a review of parametric modelling”, Smart Mater. Struct. 20 (2011)
Models of MR damper
Bingham Model Bouc-Wen Model Modified Bouc-Wen Model
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00)sgn(. fxcxff cmr
Models of MR damper
Bingham Model Bouc-Wen Model Modified Bouc-Wen Model
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mrmrmrc zxxkxcf 000
xAzxzzxz nmr
nmrmrmr |||||| 1
Models of MR damper
Bingham Model Bouc-Wen Model Modified Bouc-Wen Model
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)()()( 0100 xxkyxkyxczf
Semi active control system
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Semi-active control algorithms
Clipped-optimal Control Algorithm Lyapunov Stability Theory-based
Control Algorithm(LYAP) Maximum Energy Dissipation
Algorithm (MEDA) Cost Function-based Semi-active
Neuro-control Algorithm Fuzzy Logic control (FLC)
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Indirect control command to MR damper Control voltage v , instead of control force
Clipped algorithm
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maxVvff iic 0 iic vff
fc
fi
fc-fi=0
ν =0 ν =0
ν =0ν =0
ν =Vmax
ν =Vmaxνi = Vmax H ([fc-fi]fi)
fc : calculated optimal control force fi : control force of MR damper H : Heaviside step function vi : control voltage
Clipped algorithm
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maxVvff cic
ccic fvff
fc
fi
fc-fi=0
ν =0 ν =0
ν =0ν =0
ν =µfc
ν =µfc
νi = Vc H ([fc-fi]fi)
fc : calculated optimal control force fi : control force of MR damper H : Heaviside step function vi : control voltage
Lyapunov Control Algorithm(LYAP) Primary method of testing the stability of
nonlinear or linear system with uncertainty. Any scalar function V(x) that satisfies the 2
conditions V(x) is a positive definite, V’(x) is a negative definite function
is a lyapunov function. If V(x) fulfill the conditions means the
trajectories are bounded → system is stable. Lyapunov equation
25
ATP+PA+Q=0
Fuzzy Logic control (FLC)
Fuzzy Logic is all about relative importance of precision
Minimization of some objective function, which tends to reduce the structural response
Neural nets tend to provide control forces, which would reduce the response of the structure when subjected to unknown future earthquakes
26
FLC-Contd…
The advantage of this approach is its inherent robustness and its ability to handle the non-linear behaviour of the structure
A FLC is incorporated into a closed-loop control system similar to conventional controllers where R=reference input, E=input signal error, u=output control force, W=earthquake excitation, and Y=response after control.
27
FLC-Contd… “if-then” rule
MI : if X1=Ai and X2=Bi then Y=Cii
i is number of control rules, X1 and X2 are variables of the antecedent
part and Y is a variable of the consequent part.
Ai, Bi, and Ci are linguistic values of the fuzzy variables.
Components: fuzzification, rule base, decision making and defuzzification
28
Closure
Structural control technologies has been developed to mitigate vibration of civil engineering structures
Structural control can improve serviceability as well as safety of structures
Semi-active control is promising for civil engineering applications with the use of MR dampers
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