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Journal

Journal

Journal

Journal of

of

of

of Chemical

Chemical

Chemical

Chemical and

and

and

and Pharmaceutical

Pharmaceutical

Pharmaceutical

Pharmaceutical Research,

Research,

Research,

Research, 2014,

2014,

2014,

2014, 6(1):394-401

6(1):394-401

6(1):394-401

6(1):394-401

Research

Research

Research

Research Article

Article

Article

Article

CODEN(USA)

CODEN(USA)

CODEN(USA) :::: JCPRC5

CODEN(USA)

ISSN

ISSN

ISSN

ISSN :::: 0975-7384

0975-7384

0975-7384

0975-7384

JCPRC5

JCPRC5

JCPRC5

H

Output

Output

Output

Output feedback

feedback

feedback

feedback sliding

sliding

sliding

sliding mode

mode

mode

mode control

control

control

control for

for

for

for a

a

a

a class

class

class

class of

of

of

of uncertain

uncertain

uncertain

uncertain systems

systems

systems

systems

with

with

with

with time

time

time

time delay

delay

delay

delay

Qunfa

Qunfa

Qunfa

Qunfa Cui,

Cui,

Cui,

Cui, Yanwei

Yanwei

Yanwei

Yanwei Tian

Tian

Tian

Tian and

and

and

and Hejun

Hejun

Hejun

Hejun Yao

Yao

Yao

Yao*

*

*

*

School of Mathematics and Statistics, Anyang Normal University, Anyang, Henan, China

_____________________________________________________________________________________________

ABSTRACT ABSTRACT ABSTRACT ABSTRACT

The problem of

H

static output feedback sliding mode control for a class of nonlinear delay systems with norm-bounded uncertainties and external disturbance is considered in this paper. Based on Linear matrix inequality approach, a new approach is given to design the static output feedback sliding mode surface. Then, a sliding mode controller is obtained which make the systems states reach the sliding mode surface in finite time. All the conditions are expressed in terms of LMI. Finally, a numerical example is given to demonstrate the validity of the results.

Key Key Key

Key wordswordswordswords:Delay systems;

H

∞control; Static output feedback; Sliding mode control

_____________________________________________________________________________________________

INTRODUCTION INTRODUCTIONINTRODUCTIONINTRODUCTION

Time delay is frequently encountered in various engineering, communication, and biological systems[1]. The characteristics of dynamic systems are significantly affected by the presence of time delays, even to the extent of instability in extreme situations. Therefore, the study of delay systems has received much attention, and various analysis and synthesis methods have been developed over the past years[2,3].

As is known, based on using of discontinuous control laws, the sliding mode control approach is known to be an efficient alternative way to tackle many challenging problems of robust stabilization. Li , et al. considered the problem of adaptive fuzzy sliding mode control for a class of nonlinear time delay systems[4]. Kown, et al.gave an improved delay-dependent condition to design robust controller for uncertain time-delay systems. Based on LMI approach, Chen, et al. considered the problem of exponential stability for uncertain stochastic systems with multiple delays[5]. Xia, et al. and Qu, et al. designed the robust sliding mode controller for uncertain systems with delays by using LMI approach[6,7]. The problem of discrete-time output feedback sliding mode control for time-delay systems with uncertainty is researched[8]. But the static output feedback sliding mode control for delay systems has never been presented.

This paper presents the problem of

H

static output feedback sliding mode control for a class of nonlinear delay systems with norm-bounded uncertainties and external disturbance. Based on Linear matrix inequality approach, a new approach is given to design the static output feedback sliding mode surface. Then, a sliding mode controller is obtained which make the systems states reach the sliding mode surface in finite time.

PROBLEM PROBLEM PROBLEM

PROBLEM FORMULATIONFORMULATIONFORMULATIONFORMULATION

(2)

( )

(

( )) ( ) (

( )) (

)

( )

( )

( )

( )

( )

( )

0

d d

x t

A

A t x t

A

A t x t d

Bu t

B

t

y t

Cx t

x t

t

d

t

ω

ω

ψ

=

+ ∆

+

+ ∆

+

+

=

=

≤ ≤

&

(1)

where

x t

( )

R

n is system state,

u t

( )

R

m systems control input,

y t

( )

R

p systems output,

d

is a system

state delay.

ψ

( )

t

is the given initial state on

[

d

, 0]

. n n

,

n n

,

m n

,

m n d

A

R

×

A

R

×

B

R

×

B

ω

R

×

and

C

R

p n×

are known constant matrices, and

B

has full

column rank.

A t

( )

R

n n×

and

A t

d

( )

R

n n× are unknown matrices representing the uncertainties and satisfying

[

A t

( )

A t

d

( )]

=

GD t H H

( )[

d

]

(2)

where

G H

,

and

H

d are constant matrices with appropriate dimensions,

D t

( )

is unknown matrix satisfying

( ) ( )

T

D t D t

I

( )

t

ω

is external disturbance and satisfying

|| ( ) ||

ω

t

ρ

( )

t

where

ρ

( )

t

is known function on

[

d

, 0]

.

With Singular Value Decomposition of

B

,

[

1 2

]

0

T

B

=

U

U

⎡ ⎤

⎢ ⎥

V

⎣ ⎦

, nonsingular transformation 2 1 T T

U

T

U

= ⎢

is

constructed for systems(1)to make 1

2 2

0

;

B

TB

TB

B

B

ω ω

ω

=

= ⎢

With the transformation

z t

( )

=

Tx t

( )

, the systems(1)can be rewritten

1 2

1 1 1 1

( )

( )

(

( )) ( )

(

( )) (

)

( )

( )

( )

(

( )

) ( ) (

( )

) (

)

( )

( )

d d

d d

z t

z t

T A

A t x t

T A

A t x t

d

TBu t

TB

t

z t

TAT

T A t T

z t

TA T

T A t T

z t

d

TBu t

TB

t

ω

ω

ω

ω

− − − −

=

=

+ ∆

+

+ ∆

+

+

=

+ ∆

+

+ ∆

+

+

&

&

&

Inserting(2)into the above formulation, we obtain

1 2 2 2 2 1 2 1 2 1 2 2 2

2 2 1 2 1 2 1 2 1

2 1 2 1 2 1 1 1 1 1 2 1 2

1

( )

(

) ( ) (

) ( ) (

) (

) (

) (

)

( )

( )

(

) ( ) (

) ( ) (

T T T T T

d

T T T

d d d

T T T T T

d T

z t

U AU

U GDHU z t

U AU

U GDHU z t

U A U

U GDH U z t

d

U A U

U GDH U z t

d

B

t

z t

U AU

U GDHU z t

U AU

U GDHU z t

U A U

U G

ω

ω

=

+

+

+

+

+

+

+

+

=

+

+

+

+

+

&

&

2

) (

1

) (

1 1 2 1

) (

2

)

2

( )

2

( )

T T

d d d

DH U z t

d

+

U A U

+

U GDH U z t

d

+

B u t

+

B

ω

ω

t

(3)

For the systems(3), selecting the static output feedback sliding mode surface as following

( )

t

Sy t

( )

(3)

With

1

2 1 2 1 1 2

( )

t

Sy t

( )

SCT z t

( )

SC U

[

U z t

] ( )

SCU z t

( )

SCU z t

( )

0

σ

=

=

=

=

+

=

by the assumption that

SCU

1 is nonsingular, we obtain

1

2

( )

(

1

)

2 1

( )

1

( )

z t

= −

SCU

SCU z t

= −

Fz t

Where

F

(

SCU

1

)

−1

SCU

2

=

.

Inserting the above formulation into the systems(3), the sliding mode equation is obtained

1

( )

1

( )

d 1

(

)

1

( )

z t

&

=

Az t

+

A z t

d

+

B

ω

ω

t

(5)

where

2 2 1 2 2 1

2 2 1 2 2 1

(

)

(

)

(

)

(

)

T T

T T

d d d

A U A U

U F

U GDH U

U F

A

U A U

U F

U GDH U

U F

=

+

=

+

RESULTS RESULTS RESULTS RESULTS

Lemma1 Lemma1 Lemma1

Lemma1[2] For known constant

ε

>

0

and matrices

D E F

, ,

which satisfying

F F

T

I

, then the following matrix inequality is hold

1

T T T T T

DEF

E F D

ε

DD

ε

E E

+

+

Lemma2 Lemma2 Lemma2

Lemma2[9]The LMI

( )

( )

0

*

( )

Y x

W x

R x

>

is equivalent to

( )

0

R x

>

,

Y x

( )

W x R

( )

−1

( )

x W

T

( )

x

0

>

where

Y x

( )

=

Y

T

( ), ( )

x R x

=

R

T

( )

x

depend on

x

.

Theorem1 Theorem1 Theorem1

Theorem1 For the given constants

α

>

0

, the sliding mode equation is stable and the

H

performance index of system

γ

is singular values of

X RX

−1 −T

, if there exist positive-definite matrices

P Q R

, ,

R

(n m− ) (×n m− )

%

%

,

matrices ( ) ( )

1 2 3

, , , n m n m

X N

N

N

R

− × −

% % % constants

2

,

3

ρ ρ

and matrices

Z

R

m×(n m− )

such that the following linear matrix inequality holds

11 12 13 1 1 16

22 23 2 1 2 26

33 3 1 3

0

0

0

0

0

T

T T

B X

dN

B X

dN

B X

dN

R

dQ

ω ω ω

ρ

ρ

Σ

Σ

Σ

Σ

Σ

Σ

Σ

Σ

<

%

%

%

%

(4)

where

11 1 1 2 2 1 2 1 2 2 2

12 2 1 2 2 1 2 2 1 2 2 2 2

13 3 3 2 1 2 3 2 2

16 2 1

22 2 2 2 2 2

(

) (

)

(

)

(

)

(

)

(

)

(

T T T T T T T T

T T T T T T T T

d

T T T T T T T

T T T

T T T

d

N

N

U A U X

U Z

U X

U Z

A U

U GG U

N

N

U A U X

U Z

U X

U Z

A U

U GG U

P

N

X

U X

U Z

A U

U GG U

U X

U Z

H

N

N

U A U X

U

α

ρ

αρ

ρ

αρ

ρ

Σ =

+

+

Σ =

+

Σ =

+

+

+

Σ =

Σ

= −

%

%

%

%

% %

%

%

2

1 2 2 1 2 2 2 2

23 21 2 3 2 1 2 2 3 2 2

26 2 1

2

33 3 3 3 2 2

)

(

)

(

)

(

)

T T T T T

d

T T T T T T T

d

T T T

d

T T T

Z

U X

U Z

A U

U GG U

N

X

U X

U Z

A U

U GG U

U X

U Z

H

dQ

X

X

U GG U

ρ

αρ

ρ

ρ

αρ ρ

ρ

ρ

αρ

+

Σ

= −

+

+

Σ

=

Σ

=

+

+

+

%

%

We can Design the sliding mode surface

( )

t

Sy t

( )

σ

=

Where matrix

S

satisfying

1 2

(

)

0,

T

SC U F U

F

ZX

=

=

Proof. Selecting Lyapunov functional such as

0

1 1 1 1

( )

T

( )

( )

t T

( )

( )

d t

V t

z t Pz t

z s Qz s dsd

θ

θ

− +

=

+

∫ ∫

&

&

Where

P Q

,

are positive-definite matrices of Theorem1.

Then, along the solution of system (5) we have

1 1 1 1 1 1 1 1

1 2 1 3 1 1 1

1 1 1 2 1 3 1 1 1

( )

2

( )

( )

( )

( )

( )

( )

2(

( )

(

)

( )

)( ( )

(

)

( )

)

2(

( )

(

)

( )

)(

( )

(

)

( ))

t

T T T T

t d

t

T T

t d

T T T

d

V t

z t Pz t

dz t Qz t

z s Qz s ds

z t N

z t

d N

z t N

z t

z t

d

z s ds

z t M

z t

d M

z t M

Az t

A z t

d

z t

=

+

+

+

+

+

+

+

+

&

&

&

&

&

&

&

&

&

1 1 1 1 1 1 1 1 1 2

1 3 1 1 1 1 1 2 1 3 1

1 1 1 1 1

2

( )

( )

( )

( )

( )

( )

2(

( )

(

)

( )

)( ( )

(

)) 2(

( )

(

)

( )

)(

( )

(

)

( )

( ))

(

( )

t

T T T T T

t d

T T T T

T d

z t Pz t

dz t Qz t

z s Qz s ds

z t N

z t

d N

z t N

z t

z t

d

z t M

z t

d M

z t M

Az t

A z t

d

B

ω

ω

t

z t

d z t N

z

+

+

+

+

+

+

+

+

+

+

&

&

&

&

&

&

&

1

1 2 1 3 1 1

2 2

1 2 1 3 1 1

2

(

)

( )

)

(

( )

(

)

( )

)

( )

( )

( ) ( )

( ) ( )

( )

( )

( ) ( )

T T T

t

T T T T T T

t d

T T

t

d N

z t N Q

z t N

z t

d N

z t N

z s Qz s ds

t

t

t

t

t

t

t

t

γ ω

ω

γ ω

ω

ξ

ξ

γ ω

ω

+

+

+

+

+

=

Ξ

+

&

&

(5)

1 1 1

11 12 13 1 1

22 23 2 1

33 3 1

2

1

11 1 1 1 1 1 1

1

12 2 1 2 1 1 2

1

13 3 3 1 1 3

22 2 2 2

( )

T

( )

T

(

)

T

( )

T

( )

T

T T T T

T T T T

d

T T T T

T

t

z t

z t

d

z t

t

M B

M B

M B

I

N

N

M A

A M

dN Q N

N

N

A M

M A

dN Q N

P

N

A M

M

dN Q N

N

N

M A

ω ω ω

ξ

ω

γ

− − −

=

Ξ

Ξ

Ξ

Ξ

Ξ

Ξ =

Ξ

Ξ =

+

+

Ξ =

+

Ξ =

+

+

+

Ξ

= −

&

1

2 2 2

1

23 3 3 2 2 3

1

33 3 3 3 3

T T T

d d

T T T T

d

T T

A M

dN Q N

N

A M

M

dN Q N

dQ

M

M

dN Q N

+

Ξ

= −

+

+

Ξ

=

+

+

+

The inequality

0

Ξ <

(7)

is equivalent to

[

] [

]

1 1 2

2 1 2 2

1 2 3 2 1 2 1

3 3 2

1 2 2 2

2 1 2 1

3 2

0

(

)

(

)

0

0

0

0

(

)

(

) 0

0

0

0

T

T

T T T

d T T T T T T d T

N

M U G

N

M U G

d

Q

N

N

N

D H U

U F

H U

U F

N

M U G

M U G

M U G

H U

U F

H U

U F

D

M U G

Ξ = Θ +

<

where

11 12 13 1 1

22 23 2 1

33 3 1

2

11 1 1 1 2 2 1

2 1 2 1

12 2 1 1 2 2 1

2 1 2 2

13 3 1 2 1 2 3

22 2 2

(

)

(

)

(

)

(

)

(

)

T T

T T T

T T

d

T T T

T T T T

M B

M B

M B

I

N

N

M U A U

U F

U

U F

A U M

N

N

M U A U

U F

U

U F

A U M

P

N

M

U

U F

A U M

N

N

ω ω ω

γ

Θ

Θ

Θ

Θ

Θ

Θ =

Θ

Θ =

+

Θ =

Θ =

+

+

Θ

= −

2 2 2 1

2 1 2 2

23 3 2 2 1 2 3

(

)

(

)

(

)

T T

d

T T T

d

T T T T

d

M U A U

U F

U

U F

A U M

N

M

U

U F

A U M

(6)

With lemma1,we know that the following inequality holds for given constant

α

>

0

[

] [

]

[

] [

]

1 2 1 2

2 2 2 2

2 1 2 1 2 1 2 1

3 2 3 2

1 2 1 2

1 2 2 2

2 1 2 1 2 1 2 1

3 2

( ) ( ) 0 0 ( ) ( ) 0 0

0 0

( ) ( ) 0 0 ( ) ( ) 0 0

0

T

T T

T T

T T

d d

T T

T T

T T

d d T

M U G

M U G

M U G

M U G

D H U

U F

H U

U F

H U

U F

H U

U F

D

M U G

M U G

M U G

M U G

M U G

M U

H U

U F

H U

U F

H U

U F

H U

U F

M U G

α

α

⎡ ⎤ ⎡ ⎤

⎢ ⎥ ⎢ ⎥

⎢ ⎥ ⎢ ⎥

− − − − − −

⎢ ⎥ ⎢ ⎥

⎢ ⎥ ⎢ ⎥

⎣ ⎦ ⎣ ⎦

⎡ ⎤

⎢ ⎥

⎢ ⎥

≤ − − − − +

⎢ ⎥

⎢ ⎥

⎣ ⎦

2 3 2 0

T

T T

G

M U G

⎡ ⎤

⎢ ⎥

⎢ ⎥

⎢ ⎥

⎢ ⎥

⎣ ⎦

With lemma2,we know that the inequality(7)is equivalent to

11 12 13 1 1 1 16

22 23 2 1 1 26

33 3 1 1

2

0

0

0

0

0

M B

dN

M B

dN

M B

dN

I

dQ

I

ω ω ω

γ

α

∆ =

<

(8)

11 1 1 1 2 2 1 2 1 2 1 1 2 2 1

12 2 1 1 2 2 1 2 1 2 2 1 2 2 2

13 3 1 2 1 2 3 1 2 2 3

16 2 1

22 2 2 2 2 2 1

(

) (

)

(

) (

)

(

)

(

)

(

T T T T T T T T

T T T T T T T T

d

T T T T T T T

T T

T T

d

N

N

M U A U

U F

U

U F

A U M

M U GG U M

N

N

M U A U

U F

U

U F

A U M

M U GG U M

P

N

M

U

U F

A U M

M U GG U M

U

U F

H

N

N

M U A U

U F

α

α

α

∆ =

+

+

∆ =

+

∆ =

+

+

+

∆ =

= −

2 1 2 2 2 2 2 2

23 3 2 2 1 2 3 2 2 2 3

26 2 1

33 3 3 3 2 2 3

) (

)

(

)

(

)

T T T T T T

d

T T T T T T T

d T T

d

T T T T

U

U F

A U M

M U GG U M

N

M

U

U F

A U M

M U GG U M

U

U F

H

dQ M

M

M U GG U M

α

α

α

+

= −

+

+

=

=

+

+

+

Pre- and Post-multiplying the inequality (8) by

1 1 1 1 1

0 0 0 0 0

{

,

,

,

,

, }

diag M

M

M

M

M

I

and

diag M

{

0T

,

M

0T

,

M

0T

,

M

0T

,

M

0T

, }

I

, by giving some transformations

M

1

=

M M

0

,

2

=

ρ

2

M M

0

,

3

=

ρ

3

M

0

,

X

=

M

0−1

,

Z

=

FX

T

,

P

%

=

XPX

T

,

Q

%

=

XQX

T

,

2 T

R

=

γ

XX

, where

ρ ρ

2

,

3are constants to be obtained, we know that the inequality(8)is equivalent to

(6).

From the inequality(6), we obtain

2

( )

T

( )

( )

T

( ) ( )

V t

&

≤ −

ξ

t

Ξ

ξ

t

+

γ ω

t

ω

t

therefore

0 0

2 0

( )

( )

t T

( )

( )

t T

( ) ( )

t t

(7)

If

t

0

,with the initial condition, we obtain

0 0 0

2

min 1 1 min

( )

t T

( ) ( )

( )

t T

( ) ( )

t T

( ) ( )

t

z

s z s ds

t

s

s ds

t

s

s ds

λ

λ

ξ

ξ

γ

ω

ω

Ξ

≤ −

Ξ

Therefore

1 2 2

min

||

( ) ||

|| ( ) ||

( )

z t

γ

ω

t

λ

Ξ

.

If

ω

( )

t

=

0

,we can obtain

V t

&

( )

<

0

,the sliding mode equation is stable.

Theorem Theorem Theorem

Theorem 2222For the nonlinear delay systems(1),with the controller

1

||

|| ( )

( )

(

) [

( )

(

)

(||

||

||

||

|| ( ) ||

||

|| ( ))

( )

( )]

d d

SC

t

u t

SCB

SCAx t

SCA x t

d

GH

GH

t

B

ω

t

k

t

sign

t

σ

σ

ρ

σ

ε

σ

= −

+

+

+

+

+

+

(9)

Where

k

,

ε

are constants satisfying

k

>

0,

ε

>

0

,then the systems states will reach the sliding mode surface

(4)in finite time.

Proof Proof Proof

Proof. Along the solution of system (1) we have

( ) ( )

( )

(

) ( )

( )

(

) (

)

( )

( )

( ) ||

|| ( )

( )

( )

( )

(

)

(||

||

||

||

|| ( ) ||

||

|| ( ))

( )

( )

( )

T T T T

d d

T

T T

d d

T T

t

t

t SC A

A x t

t SC A

A x t

d

t SCB

t

t

SC

t

t SCAx t

t SCA x t

d

GH

GH

t

B

t

t k

t

t

ω

ω

σ

σ

σ

σ

σ

ω

σ

σ

σ

σ

σ

ρ

σ

σ

σ

ε

=

+ ∆

+

+ ∆

+

+

+

&

( )

T

( )

( )

T

( )

( )

0

sign

t

t k

t

t

sign

t

σ

σ

σ

σ

ε

σ

≤ −

<

(10)

With the controller(9)and the above equation(10), we know that the reaching condition is satisfied.

CONCLUSION CONCLUSIONCONCLUSIONCONCLUSION

This paper considers the problem of

H

∞ static output feedback sliding mode control for a class of nonlinear delay systems with norm-bounded uncertainties and external disturbance. A static output feedback sliding mode surface is designed by using linear matrix inequality approach. Then the sliding mode controller is designed to make the states reach sliding mode surface in finite time.

Acknowledgment Acknowledgment Acknowledgment Acknowledgmentssss

The authors would like to thank the associate editor and the anonymous reviewers for their constructive comments and suggestions to improve the quality and the presentation of the paper. This work is supported by National Nature Science Foundation of China under Grant 61073065; Nature Science Foundation of Henan Province under Grant 092300410145; The Education Department of Henan Province Key Foundation under Grant 13A110023.

R R R

REFERENCESEFERENCESEFERENCESEFERENCES

[1] Gouaisbaut F; Dambrine M; Richard J. P. Syst.Contr.Lett.,2002200220022002, 46, 219-230. [2] Kau S. W; Liu Y. S.Syst. Contr. Lett.,2005200520052005,54,1195-1203.

[3] Shyu K. K; Liu W. J; Hsu K. C.Automatica,2005200520052005, 41, 1239-1246. [4] Li W. L;Yao H. J.Journal of Henan Normal University,2006200620062006, 34,14-17. [5] Chen W. H; Guan Z. H; Lu X. M.Syst.Contr.Lett.,2005200520052005, 54, 547-555.

[6] Qu S. C; Wang X. Y. Proceeding of the 4th international conference on impulsive and hybrid dynamical systems,

2007 2007 2007

2007,45,1075-1078.

(8)

[8] Janardhanan S; Bandyopadhgay B; Thakar V. K. Proceedings of the 2004 IEEE, International Conference on Control Appliactions,2004200420042004, 12, 2-4.

References

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