In this paper, the generalized Prandtl-Ishlinskii model is used to design an adaptive controller for a class of nonlinear systems which contain hysteresis phenomenon within their dynamic equation as a function of state variables. The controller design is carried out through adaptive backstepping approach and the stability proof is given based on Lyapunov stability theory. In contrast to the systems in which hysteresis appear in their input, the inverse based methods cannot be applied to systems with hysteresis in their states. The proposed controller is able to cope with different kinds of hysteresis nonlinearity (saturated and unsaturated). Finally, to show the effectiveness of the proposed method, simulations are carried out for a second order “mass–nonlinear spring–damper” system.

References

1.
Ru
,
C.
,
Chen
,
L.
,
Shao
,
B.
,
Rong
,
W.
, and
Sun
,
L.
,
2009
, “
A Hysteresis Compensation Method of Piezoelectric Actuator: Model, Identification and Control
,”
Control Eng. Pract.
,
17
, pp.
1107
1114
.10.1016/j.conengprac.2009.04.013
2.
Huang
,
S.
,
Tan
,
K. K.
, and
Lee
,
T. H.
,
2009
. “
Adaptive Sliding-Mode Control of Piezoelectric Actuators
,”
IEEE Trans. Ind. Electron.
,
56
(
9
), pp.
3514
3522
.10.1109/TIE.2009.2012450
3.
Ahn
,
K. K.
, and
Kha
,
N. B.
,
2007
, “
Internal Model Control for Shape Memory Alloy Actuators Using Fuzzy Based Preisach Model
,”
Sensors Actuators A
,
136
, pp.
730
741
.10.1016/j.sna.2006.12.011
4.
Gorbet
,
R. B.
,
Wang
,
D.
, and
Morris
,
K. A.
,
1998
. “
Preisach Model Identification of a Two-Wire SMA Actuator
,”
Proc. of IEEE Int. Conf. on Robotics and Automation
, pp.
287
300
.
5.
Ikhouanea
,
F.
,
Manosab
,
V.
, and
Rodellar
,
J.
,
2005
, “
Adaptive Control of a Hysteretic Structural System
,”
Automatica
,
41
, pp.
225
231
.10.1016/j.automatica.2004.08.018
6.
Bertotti
,
G.
, and
Mayergoyz
,
I.
,
2006
,
The Science of Hysteresis
, Vol.
1
,
Academic
,
London
.
7.
Ahn
,
K. K.
, and
Kha
,
N. B.
,
2008
, “
Modeling and Control of Shape Memory Alloy Actuators Using Preisach Model, Genetic Algorithm and Fuzzy Logic
,”
Mechatronics
,
18
, pp.
141
152
.10.1016/j.mechatronics.2007.10.008
8.
Su
,
C. Y.
,
Stepanenko
,
Y.
,
Svoboda
,
J.
, and
Leung
,
T. P.
,
2000
. “
Robust Adaptive Control of a Class of Nonlinear Systems With Unknown Backlash-Like Hysteresis
,”
IEEE Trans. Autom. Control
,
45
(
12
), pp.
2427
2432
.10.1109/9.895588
9.
Macki
,
J. W.
,
Nistri
,
P.
, and
Zecca
,
P.
,
1991
,
Mathematical Models for Hysteresis
,
Springer
,
New York
.
10.
Tao
,
G.
, and
Kokotovic
,
P. V.
,
1995
, “
Adaptive Control of Plants With Unknown Hysteresis
,”
IEEE Trans. Autom. Control
,
40
, pp.
200
212
.10.1109/9.341778
11.
Tan
,
U. X.
,
Latt
,
W. T.
,
Widjaja
,
F.
,
Shee
,
C. Y.
,
Riviere
,
C. N.
, and
Ang
,
W. T.
,
2009
, “
Tracking Control of Hysteretic Piezoelectric Actuator Using Adaptive Rate-Dependent Controller
,”
Sensors Actuators A
,
150
, pp.
116
123
.10.1016/j.sna.2008.12.012
12.
Iyer
,
R. V.
, and
Tan
,
X.
,
2009
, “
Control of Hysteretic Systems Through Inverse Compensation
,”
IEEE Control Systems
,
29
(1)
, pp.
83
99
.10.1109/MCS.2008.930924
13.
Wang
,
Q.
, and
Su
,
C. Y.
,
2006
, “
Robust Adaptive Control of a Class of Nonlinear Systems Including Actuator Hysteresis With Prandtl-Ishlinskii Presentations
,”
Automatica
,
42
, pp.
859
867
.10.1016/j.automatica.2006.01.018
14.
Janaidieh
,
M. A.
,
Su
,
C. Y.
, and
Rakheja
,
S.
,
2008
, “
A Generalized Asymmetric Play Hysteresis Operator for Modeling Hysteresis Nonlinearities of Smart Actuators
,”
Int. Conf. Control Autom. Robotics Vision
,
Dec
, pp.
240
243
.
15.
Khalil
,
H.
,
2005
,
Nonlinear Systems, Prentice-Hall
,
Englewood Cliffs
,
NJ
.
16.
Kumon
,
M.
,
Mizumoto
,
I.
,
Indou
,
A.
, and
Iwai
,
Z.
,
2008
, “
Reshape Memory Alloy Actuator With Simple Adaptive Control
,”
Int. J. Innovative Comput. Inform. Control
,
4
(
12
), pp.
3285
3295
.
You do not currently have access to this content.