8.SMA-Control
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
111Dr. SongDaLian University of Technology
8. Control Design for Shape
Memory Alloy Systems
-- An Introduction
Shape Memory Alloy Wire Actuator
LVDT Posi...
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
111Dr. SongDaLian University of Technology
8. Control Design for Shape
Memory Alloy Systems
-- An Introduction
Shape Memory Alloy Wire Actuator
LVDT Position
Sensor
Current Amplifier
Bia Spring
Linear
Bearing
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
222Dr. SongDaLian University of Technology
EXPERIMENTAL SETUP
• The Single Wire Test Stand
– Nickel-Titanium SMA wire (30.48 cm in length and 0.381 mm in diameter).
– dSPACE Data Acquisition and Real Time Control system
Shape Memory Alloy Wire Actuator
LVDT Position
Sensor
Current Amplifier
Bia Spring
Linear
Bearing
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
333Dr. SongDaLian University of Technology
Task1: Position Regulation using
Sliding-mode Based Robust Control
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
444Dr. SongDaLian University of Technology
CONTROL SYSTEM DESIGN
• Define: e y y= − d
i i i r r= + − −b f Dk Tanh aρ a f
r e e= +� λ
• Robust Tracking Controller
: a linear feedback action functioning as a
Proportional plus Derivative (PD) control.
: a bias current. To compensate for the hysteresis of
the SMA wire actuator and environmental heat
losses.
−kD r
if
− ρTanh a ra f : a robust compensator and to compensate
for the hysteresis to increase control
accuracy and stability
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
555Dr. SongDaLian University of Technology
Low Pass
Filter
KD
Robust
Comp.
R
G
ai
n
Command
Saturation
Feedback Signal
Command
Signal
Programmable
Power Supply
Real-Time Control System
Bias
t
∂
∂
λ
LVDT Sensor
The Control Block Diagram
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
666Dr. SongDaLian University of Technology
Experimental Result
• The position of the actuator is required to move from 0mm to
12mm.
• The controller parameters are: λ = 5, KD = 1, ρ = 1, and a = 5 .
The feedforward value is .4.
With Robust Control
• RMS error of 0.0233mm
Settling time = 1.3 second
5 10 15 20 25 30 0 5 10 15 20 25 30
-1
0
1
2
3
4
5
6
7
Figure 5 Displacement with Robust Control Figure 6 Control Action with Robust Control
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
777Dr. SongDaLian University of Technology
Without Robust Control
• RMS error of 0.1241mm
• Settling time = 2.4 second
0 5 10 15 20 25 30
-1
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30
2
0
2
4
6
8
0
2
4
Figure 7 Displacement without Robust
Control
Figure 8 Control Action without Robust
Control
Experimental Result
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
888Dr. SongDaLian University of Technology
Experimental Result
With Robust Control
The SMA wire undergoes both heating and cooling processes
0 5 10 15 20 25 30
-2
0
2
4
6
8
10
12
14
0 5 10 15 20 25 30
-1
0
1
2
3
4
5
6
7
Figure 9 Displacement with Heating & Figure 10 Control Action with Heating &
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
999Dr. SongDaLian University of Technology
Conclusion
• A novel robust controller based on sliding-mode approach
is developed for precision position regulation of a SMA
wire actuator.
• Experiments were conducted and successfully
demonstrated that shape memory alloy actuators with the
proposed control design can be used for precision position
regulation .
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
101010Dr. SongDaLian University of Technology
Task2: Position Tracking using
Sliding-mode Based Robust Control
0 20 40 60 80 100 120
5
6
7
8
9
10
11
12
13
Time (s e cond)
p
o
s
i
t
i
o
n
(
m
m
)
Dotted line : de s ire d pa th; S olid line : a c tua l pos ition
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
111111Dr. SongDaLian University of Technology
PRELIMINARY TEST
0 50 100 150 200
0
1
2
3
4
Dotte d line : App lie d vo lta ge (V)
S o lid line : App lie d c u rre n t (A)
0 50 100 150 200
-1
0
1
2
3
4
5
6
7
8
9
Tim e (s e c ond)
D
i
s
p
l
a
c
e
m
e
n
t
(
m
m
)
0 0 .5 1 1 .5
-1
0
1
2
3
4
5
6
7
8
9
C urre n t (A)
D
i
s
p
l
a
c
e
m
e
n
t
(
m
m
)
Input signal
Displacement
Hysteresis Loop
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
121212Dr. SongDaLian University of Technology
CONTROL SYSTEM DESIGN
• Define: e y y= − d
i i i r r= + − −b f Dk Tanh aρ a f
r e e= +� λ
• Robust Tracking Controller
: a linear feedback action functioning as a
Proportional plus Derivative (PD) control.
: a bias current. To compensate for the hysteresis of
the SMA wire actuator and environmental heat
losses.
−kD r
ib
i y yf f
d dk T= +( � )
− ρTanh a ra f
: a feed-forward term
: a robust compensator and to compensate
for the hysteresis to increase control
accuracy and stability
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
131313Dr. SongDaLian University of Technology
This feed forward current is designed to provide the approximate
amount of current required for the SMA actuator to follow the
desired path. The actuator system with a bias spring is
approximately a first order system with a time constant T, if the
current is considered as the input and the displacement is
considered as the output.
The Feed-forward Term
i y yf f
d dk T= +( � )
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
141414Dr. SongDaLian University of Technology
Remarks
• To further decrease the position error, an alternative non-linear sliding surface
can be designed as
r e e e= + + =� ( )λ c Tanh c1 2 0
where c1 and c2 are positive gains. The goal of the term
c Tanh c1 2( )e is to provide a larger magnitude value of r at
small value of e to augument the λe term and further decrease
the tracking error. The new auxiliary control variable r is an
odd function and the stability for the closed-loop system is
ensured.
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
151515Dr. SongDaLian University of Technology
EXPERIMENTAL RESULTS
Desired and actual displacements
(1/15 Hz)
0 20 40 60 80 100 120
5
6
7
8
9
10
11
12
13
Time (s e cond)
p
o
s
i
t
i
o
n
(
m
m
)
Dotted line : de s ire d pa th; S olid line : a c tua l pos ition
0 20 40 60 80 100 120
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
Time (s e cond)
P
o
s
i
t
i
o
n
E
r
r
o
r
(
m
m
)
Position Error (RMS error: .063mm)
Test 1:
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
161616Dr. SongDaLian University of Technology
Test 1: Applied voltage and Current
0 20 40 60 80 100 120
-1
0
1
2
3
4
5
6
Top: Applie d volta ge (V)
Bottom : Applie d c urre nt (A)
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
171717Dr. SongDaLian University of Technology
Test 2: With Nonlinear Sliding Surface
Desired and actual displacement
in case of nonlinear sliding surface
0 20 40 60 80 100
5
6
7
8
9
10
11
12
13
Tim e (s e c ond)
p
o
s
i
t
i
o
n
(
m
m
)
Dotte d line : de s ire d pa th; S olid line : a c tua l pos ition
0 20 40 60 80 100
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
Time (s e c ond)
P
o
s
i
t
i
o
n
E
r
r
o
r
(
m
m
)
Position error (RMS error: .046mm) in
case of nonlinear sliding surface
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
181818Dr. SongDaLian University of Technology
Test 2: Applied voltage and Current
0 20 40 60 80 100
-1
0
1
2
3
4
5
6
Time (s e c ond)
Top: Applie d volta ge (V)
Bottom: Applie d c urre nt (A)
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
191919Dr. SongDaLian University of Technology
Robust Position Control of an SMA Actuator in Water
– An Implementation Example
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
202020Dr. SongDaLian University of Technology
ADAPTIVE ENGINE INTAKE
– An Implementation Example
Movie
Smart Materials and Structures 8. Control Design for Shape Memory Alloy Systems – An Introduction
212121Dr. SongDaLian University of Technology
Conclusions
• A novel robust controller based on sliding-mode approach is developed
for tracking control of a SMA wire actuator.
• Experiments were conducted and successfully. demonstrated that shape
memory alloy actuators with the proposed control design can precisely
track a reference command.
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