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The International Journal Of Engineering And Science (IJES)
||Volume|| 2 ||Issue|| 10 ||Pages|| 109-113 ||2013||
ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805

Application of Assumed Mode Method in Nonlinear Dynamic
Analysis of Elastic Robot Arms
1*

Keyvan Amini Khoiy, 2Farhad Davatgarzadeh, 3Moein Taheri,

1, 2, 3

Department of Mechanics, Damavand Branch, Islamic Azad University, Damavand, Iran

----------------------------------------------------------ABSTRACT-----------------------------------------------This paper presents nonlinear dynamic analysis of elastic robot arms using assumed mode method.
Elastic manipulators exhibit many advantages over rigid ones and their dynamic analysis has attracted a great
deal of interests recently. In the presented work, the assumed mode method is employed and the dynamic
equations of flexible manipulators are derived. The total dynamic motion of the system is modeled as a rigid
motion and a flexible displacement. Then the link flexibility represented by a truncated finite model series, in
terms of spatial mode eigen functions and time-varying mode amplitudes. Hence the eigen function are relevant
to boundary conditions of the system, some different boundary conditions are presented. Then, the total
displacement of the elastic arm in reference coordinate system is developed and the Lagrange principle is
employed to derive the nonlinear dynamic motion of the elastic robot arm. Finally, the nonlinear dynamic
equations of a single-link flexible manipulator are presented using the Assumed mode method.

Key words: elastic robot, nonlinear dynamic, assumed mode method, modal eigen function.

----------------------------------------------------------------------------------------------------------------Date of Submission: 20, August, 2013

Date of Acceptance: 30, October, 2013

----------------------------------------------------------------------------------------------------------------I.

INTRODUCTION

Robotic arms are widely used to implement in various activities. As the rigid manipulators are designed
and build in a manner to maximize stiffness of the robot in an attempt to avoid unwanted vibration of the endeffector, but the high stiffness is achieved by using heavy material and a bulky design, which results in
inefficient power consumption. In despite, the elastic robot arms exhibit many advantages over their rigid ones
such as their less weights, more maneuverability, smaller actuators, and for the sake of these advantages,
flexible manipulators have been developed in variant scientific fields [1-6]. In fact, dynamic analysis of elastic
manipulators is a complex task that plays a crucial role in the design and application of robots in task space.
This complexity arises from very lengthy, fluctuating and highly nonlinear and coupled set of dynamic
equations due to the flexible nature of robot links. Therefore, a great deal of interests has been received for
dynamic modeling of the flexible robots, recently. Martins et al. [7, 8] studied the dynamic modeling of singlelink flexible manipulators. Rakhsha and Goldenberg [9] employed an analytical approach to model the dynamic
of an elastic robot based on Newton-Euler formulation. Singh [10] used an extended Hamilton’s principle to
derive the equation of motion of the flexible manipulator. Megahed et al. [11] developed a variation of lumped
model to simulate motion of planar flexible link robot. In their procedure, a consistent mass matrix is used in
order to provide better approximation than traditional approaches. Meghdari and Fahimi [12] presented an
analytical method to decouple the dynamic equation of motion of flexible robots.
In this paper, the nonlinear dynamic analysis of elastic robot arms is presented using assumed mode
method. The dynamic motion of the system is modeled as a rigid motion and a flexible displacement. Then the
link flexibility represented by a truncated finite model series, in terms of spatial mode eigen functions and timevarying mode amplitudes. Hence the eigen function are relevant to boundary conditions of the system, some
different boundary conditions are presented. Then, the total displacement of the elastic arm in reference
coordinate system is developed and the Lagrange principle is employed to derive the nonlinear dynamic motion
of the elastic robot arm. Finally, the nonlinear dynamic equations of the system are presented.

II.

DYNAMIC MODEL OF ELASTIC ROBOTIC ARMS

In this section, the nonlinear dynamic model of the flexible manipulator is derived via Assumed mode
method (AMM). Figure 1 shows a schematic of the ith link of an elastic manipulator.

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Page 109
Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms

Figure 1. The flexible manipulator
To derive the nonlinear dynamic equation of the system, assume the kinetic and the potential energies
of the system can be written as follows:
n
 

T ( q , q )   Ti
i 1

(1)

n

U ( q )  Ui
i 1

Where n is the number of links, Ti and U i are the kinetic and the potential energies of the ith link of the elastic



robot, and q and q are the generalized coordinates and velocities of flexible system, respectively.
By implementation of Lagrange principle, the Lagrangian function is L  T  U , and the dynamic equations of
flexible manipulator can be written as:
d  L  L


 Qj
(2)

dt  q j  q j


Where Q j represents the torques applied to joints of links.
As it is shown in Fig. 1, the parameters of the system are indexed as: OXY is referred to the global coordinate

system, OiXiYi is indicated to local coordinate system attached to ith link of robot, ri is the displacement of the

element in global system, roi is the displacement of the origin of the local coordinate OiXiYi in the global
system, T0i is the transformation matrix between OXY and OiXiYi coordinate systems, i indicates the angular
displacement of joint of ith arm, li is the length of ith link, mi is the uniform mass per meter of ith arm, Ei is
the elasticity modulus of ith link, and I i is referred to the moment inertia of ith link.
According to Eqs. 1-2, for dynamic modeling of elastic links robot, it is sufficient to derive the kinetic and
potential energy of ith link of the system.

By assuming ri as a displacement vector of a given point of link i in the reference coordinate system, the kinetic
energy of the link is stated as Eq. 3:


l
1 i  r T r 
Ti   mi  i . i  dxi 0  xi  li
(3)
2 0  t t 



Moreover, the total displacement vector ri is a combination of a rigid displacement of the link, and a
flexible deformation related to elastic deflection of the arm in local coordinate system OiXiYi attached to ith arm.
So the displacement of the link is expressed as following:

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Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms
 
i x 
ri  roi  T0  i 
(4)
 vi 
Where vi is the lateral deflection of ith link in the local coordinate system referred to flexibility of the
link, and is presented as a summation of finite model eigen functions multiplied to time-dependent amplitudes:

vi ( xi ,t ) 

ni

 ij ( xi ) eij ( t )

(5)

j 1

where vi ( xi ,t ) is the bending deflection of the ith link at a spatial point xi, ni is the number of modes used to
describe the deflection of link I, ij ( xi ) is the jth assumed mode shape eigen function of the link, and eij ( t ) is
the jth time-varying displacement of the spatial point.
In the next step, for determining of potential energy Ui of ith link, the total potential energy is assumed as a
summation of Ui,g due to gravity and Ui,e due to elasticity of the arm:
U i  U i ,g  U i ,e

(6)

The potential energy due to gravity is expressed as:

l
U i ,g   i mi g 0 1 ri dxi

(7)

0

And assuming the Euler- Bernoulli model of the flexible link, the potential energy related to elasticity is given
as:
U i ,e 

 2v
1 li
EI i ( 2i ) dxi
2 0
xi

(8)

Also, it is must be mentioned that the generalized coordinate vector regarding to the ith link of the robot is given

as q  i ei1 ... eini T , and proper determining of the generalized coordinates must be performed.





III.

MODAL SHAPE EIGEN FUNCTIONS

In the AMM there are numerous ways to choose the boundary conditions. The present study addresses
four well-known conditions. Ideally, the optimum set of assumed modes is that closest to natural modes of the
system. Hence, there is no stipulation as to which set of assumed modes should be used. Natural modes depend
on several factors such as size of hub inertia and size of payload mass. Choosing appropriate conditions is very
important and it may cause better consequences in the results [13]. Hence, the ultimate choice requires an
assessment based on the actual robot structure and for example, anticipated range of payloads together with its
natural modes [14]. Therefore, four normal modes for some familiar mode conditions are described as follows.

3.1. Pinned-pinned boundary condition
As the pinned-pinned boundary condition is presumed, the mode shapes are presented as:
ij ( xi )  Aij sin( Bij xi )

(9)

Where Aij and Bij are determined by the following equation:
cosh( Bijli )
Aij 
cos( Bijli )

(10)

Bij li  3.14 6.28 9.42 12.56

3.2. Clamped-free boundary condition
As the clamped-free boundary condition is presumed, the mode shapes are presented as:
ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi )

(11)

Where Aij and Bij are determined by the following equation:
cos( Bijli )  cosh( Bijli )
Aij 
sin( Bijli )  sinh( Bijli )

(12)





Bij li 1.87 4.69 7.85 10.99

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Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms

3.3. Clamped-clamped boundary condition
As the clamped-clamped boundary condition is presumed, the mode shapes are presented as:
ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi )

(13)

Where Aij and Bij are determined by the following equation:
cos( Bijli )  cosh( Bijli )
Aij 
sin( Bijli )  sinh( Bijli )

(14)





Bij li  4.73 7.85 10.99 14.13

3.4. Clamped-pinned boundary condition
As the clamped-pinned boundary condition is presumed, the mode shapes are presented as:
ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi )

(15)

Where Aij and Bij are determined by the following equation:
sin( Bijli )  sinh( Bijli )
Aij  
cos( Bijli )  cosh( Bijli )

(16)





Bij li  3.92 7.06 10.21 13.35

IV.

DYNAMIC MODEL OF A SINGLE-LINK FLEXIBLE ROBOT

In this section, the nonlinear dynamic modeling of a single-link flexible robotic arm is done. If the
boundary condition of the system is presumed as clamped-free condition. Furthermore, only the first modal
shape function of the system is considered in modeling of the system. Thus, the lateral deflection of the single
link in the local coordinate system attached to the first link is presented as:


 cos( B11l1 )  cosh( B11l1 ) 
v1( x1 , t )   sin( B11x1 )  sinh( B11x1 )  
(17)
 sin( B l )  sinh( B l ) cos( B11x1 )  cosh( B11x1 ) e11



11 1
11 1 



Where l1 is the length of the arm, x1 can change between 0  x1  l1 , and B11 l1 is equals to 1.87.
1
Then, the transformation matrix T0 is defined as:

1 cos 1  sin 1 
T0  
(18)

 sin 1 cos 1 
And regarding to Eq. 4, the displacement vector of the robot in the reference coordinate system can be written
as:
  X  cos 1 x1  sin 1 v1 
r1   1   
(19)

 Y1   sin 1 x1  cos 1 v1 

The velocity vector of the system is given by:




  X   sin 1 x1 1  cos 1 v1 1  sin 1 v1 

r1   1   





 Y1   cos 1x1 1  sin 1 v1 1  cos 1 v1 

(20)

Thus, the kinetic energy of the flexible robotic arm is stated as:
l

T





1 1  2 2
 X1  Y1 dx1
20

(21)

Moreover, the potential energy of the system regarding to the gravity is:
l1

U , g   m1 g Y1 dx1

(21)

0

And the potential energy of the flexible manipulator due to flexible effects can be written as:
l

U ,e 

11
 2v
 EI1( x 21 ) dx1
20
1

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(8)

The IJES

Page 112
Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms

Finally, the generalized coordinate vector is defined as q  1 e11T , and the nonlinear dynamic equations of
the system can be derived regarding to Eq.1 and Eq. 2.

V.

CONCLUSION

In this paper, the nonlinear dynamic analysis of the elastic robot arms have been studied using assumed
mode method. The total dynamic displacement of the system has been modeled as a rigid motion and a flexible
displacement. Then the link flexibility has been formulates as a summation of spatial modal eigen functions
multiplied to time-varying mode amplitudes. Hence the eigen function are relevant to boundary conditions of
the system, some different boundary conditions have been considered, and their corresponding eigen functions
have been presented. Then, the total displacement of the elastic arm in reference coordinate system has been
obtained and the Lagrange principle has been used to derive the nonlinear dynamic motion of the elastic robot
arm. Finally, the assumed mode method has been employed to derive the dynamic equations of a single-link
manipulator.

REFERENCE
[1]
[2]
[3]

[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]

Mahmoodi S N, Ahmadian M (2010) Modified Acceleration Feedback for Active Vibration Control of Aerospace Structures.
Smart Materials and Structures, 19: 65-70.
Satoko A, Kazuya Y (2010) Adaptive Reaction Control for Space Robotic Applications with Dynamic Model Uncertainty.
Advanced Robotics, 24: 1099-1126.
Kumar R, Berkelman P, Gupta P, Barnes A, Jensen P S, Whitcomb L L, Taylor R (2000) Preliminary Experiments in
Cooperative Human/robot Force Control for Robot Assisted Micro-surgical Manipulation. Proc of IEEE Int Conf on Robotics
and Automation, 26: 123-132.
Liao H, Suzuki H, Matsumiya K, Masamune K, Dohi T, Chiba T (2008) Fetus-supporting Flexible Manipulator with Balloontype Stabilizer for Endoscopic Intrauterine Surgery. Int J of Medical Robotics and Computer Assisted Surgery, 4: 214–223.
Zhong J L (2011) Dynamic Modeling and Vibration Control of a Space Flexible Manipulator Using Piezoelectric Actuators and
Sensors. Advanced Materials Research, 345: 46-52.
Shi J X, Albu-Schaffer A, Hirzinger G (1998) Key Issues in the Dynamic Control of Lightweight Robots for Space and
Terrestrial Applications. Proc of IEEE Int Conf on Robotics and Automation, 1: 490–497.
Martins J, Botto M A, Sa da Costa J (2002) Modeling Flexible Beams for Robotic Manipulators. Multibody System Dynamics,
7: 79-100.
Martins J M, Mohamed Z, Tokhi M O, Sa da Costa J, Botto M A (2003) Approaches for Dynamic Modeling of Flexible
Manipulator Systems. IEEE Proc on Control Theory and Applications, 150: 401–411.
Rakhsha F, Goldenberg A A (1985) Dynamic Modeling of a Single Link Flexible Robot. Proc of the IEEE Int Conf on Robotics
and Automation, 984–989.
Singh T (1991) Dynamics and Control of Flexible Arm Robots. Ph.D. Thesis, Mechanical Engineering, Waterloo University,
Canada.
Megahed S M, Hamza K T (2004) Modeling and Simulation of Planar Flexible Link Manipulators with Rigid Tip Connections
to Revolute Joints. Robotica, 22: 285-300.
Meghdari A, Fahimi F (2001) On the First-order Decoupling of Dynamical Equations of Motion for Elastic Multibody Systems
as Applied to a Two-link Flexible Manipulator. Multibody Systems Dynamics, 5: 1-20.
Korayem M H, Rahimi H N (2010) Nonlinear Dynamic Analysis for Elastic Robotic Arms. Frontier of Mechanical Engineering,
1-8.
Fraser A R, Daniel R W (1991) Perturbation Techniques for Flexible Manipulators. Kluwer International Series in Engineering
and Computer Science, 138.

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The International Journal of Engineering and Science (The IJES)

  • 1. The International Journal Of Engineering And Science (IJES) ||Volume|| 2 ||Issue|| 10 ||Pages|| 109-113 ||2013|| ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805 Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms 1* Keyvan Amini Khoiy, 2Farhad Davatgarzadeh, 3Moein Taheri, 1, 2, 3 Department of Mechanics, Damavand Branch, Islamic Azad University, Damavand, Iran ----------------------------------------------------------ABSTRACT-----------------------------------------------This paper presents nonlinear dynamic analysis of elastic robot arms using assumed mode method. Elastic manipulators exhibit many advantages over rigid ones and their dynamic analysis has attracted a great deal of interests recently. In the presented work, the assumed mode method is employed and the dynamic equations of flexible manipulators are derived. The total dynamic motion of the system is modeled as a rigid motion and a flexible displacement. Then the link flexibility represented by a truncated finite model series, in terms of spatial mode eigen functions and time-varying mode amplitudes. Hence the eigen function are relevant to boundary conditions of the system, some different boundary conditions are presented. Then, the total displacement of the elastic arm in reference coordinate system is developed and the Lagrange principle is employed to derive the nonlinear dynamic motion of the elastic robot arm. Finally, the nonlinear dynamic equations of a single-link flexible manipulator are presented using the Assumed mode method. Key words: elastic robot, nonlinear dynamic, assumed mode method, modal eigen function. ----------------------------------------------------------------------------------------------------------------Date of Submission: 20, August, 2013 Date of Acceptance: 30, October, 2013 ----------------------------------------------------------------------------------------------------------------I. INTRODUCTION Robotic arms are widely used to implement in various activities. As the rigid manipulators are designed and build in a manner to maximize stiffness of the robot in an attempt to avoid unwanted vibration of the endeffector, but the high stiffness is achieved by using heavy material and a bulky design, which results in inefficient power consumption. In despite, the elastic robot arms exhibit many advantages over their rigid ones such as their less weights, more maneuverability, smaller actuators, and for the sake of these advantages, flexible manipulators have been developed in variant scientific fields [1-6]. In fact, dynamic analysis of elastic manipulators is a complex task that plays a crucial role in the design and application of robots in task space. This complexity arises from very lengthy, fluctuating and highly nonlinear and coupled set of dynamic equations due to the flexible nature of robot links. Therefore, a great deal of interests has been received for dynamic modeling of the flexible robots, recently. Martins et al. [7, 8] studied the dynamic modeling of singlelink flexible manipulators. Rakhsha and Goldenberg [9] employed an analytical approach to model the dynamic of an elastic robot based on Newton-Euler formulation. Singh [10] used an extended Hamilton’s principle to derive the equation of motion of the flexible manipulator. Megahed et al. [11] developed a variation of lumped model to simulate motion of planar flexible link robot. In their procedure, a consistent mass matrix is used in order to provide better approximation than traditional approaches. Meghdari and Fahimi [12] presented an analytical method to decouple the dynamic equation of motion of flexible robots. In this paper, the nonlinear dynamic analysis of elastic robot arms is presented using assumed mode method. The dynamic motion of the system is modeled as a rigid motion and a flexible displacement. Then the link flexibility represented by a truncated finite model series, in terms of spatial mode eigen functions and timevarying mode amplitudes. Hence the eigen function are relevant to boundary conditions of the system, some different boundary conditions are presented. Then, the total displacement of the elastic arm in reference coordinate system is developed and the Lagrange principle is employed to derive the nonlinear dynamic motion of the elastic robot arm. Finally, the nonlinear dynamic equations of the system are presented. II. DYNAMIC MODEL OF ELASTIC ROBOTIC ARMS In this section, the nonlinear dynamic model of the flexible manipulator is derived via Assumed mode method (AMM). Figure 1 shows a schematic of the ith link of an elastic manipulator. www.theijes.com The IJES Page 109
  • 2. Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms Figure 1. The flexible manipulator To derive the nonlinear dynamic equation of the system, assume the kinetic and the potential energies of the system can be written as follows: n    T ( q , q )   Ti i 1 (1) n  U ( q )  Ui i 1 Where n is the number of links, Ti and U i are the kinetic and the potential energies of the ith link of the elastic    robot, and q and q are the generalized coordinates and velocities of flexible system, respectively. By implementation of Lagrange principle, the Lagrangian function is L  T  U , and the dynamic equations of flexible manipulator can be written as: d  L  L    Qj (2)  dt  q j  q j   Where Q j represents the torques applied to joints of links. As it is shown in Fig. 1, the parameters of the system are indexed as: OXY is referred to the global coordinate  system, OiXiYi is indicated to local coordinate system attached to ith link of robot, ri is the displacement of the  element in global system, roi is the displacement of the origin of the local coordinate OiXiYi in the global system, T0i is the transformation matrix between OXY and OiXiYi coordinate systems, i indicates the angular displacement of joint of ith arm, li is the length of ith link, mi is the uniform mass per meter of ith arm, Ei is the elasticity modulus of ith link, and I i is referred to the moment inertia of ith link. According to Eqs. 1-2, for dynamic modeling of elastic links robot, it is sufficient to derive the kinetic and potential energy of ith link of the system.  By assuming ri as a displacement vector of a given point of link i in the reference coordinate system, the kinetic energy of the link is stated as Eq. 3:   l 1 i  r T r  Ti   mi  i . i  dxi 0  xi  li (3) 2 0  t t     Moreover, the total displacement vector ri is a combination of a rigid displacement of the link, and a flexible deformation related to elastic deflection of the arm in local coordinate system OiXiYi attached to ith arm. So the displacement of the link is expressed as following: www.theijes.com The IJES Page 110
  • 3. Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms   i x  ri  roi  T0  i  (4)  vi  Where vi is the lateral deflection of ith link in the local coordinate system referred to flexibility of the link, and is presented as a summation of finite model eigen functions multiplied to time-dependent amplitudes: vi ( xi ,t )  ni  ij ( xi ) eij ( t ) (5) j 1 where vi ( xi ,t ) is the bending deflection of the ith link at a spatial point xi, ni is the number of modes used to describe the deflection of link I, ij ( xi ) is the jth assumed mode shape eigen function of the link, and eij ( t ) is the jth time-varying displacement of the spatial point. In the next step, for determining of potential energy Ui of ith link, the total potential energy is assumed as a summation of Ui,g due to gravity and Ui,e due to elasticity of the arm: U i  U i ,g  U i ,e (6) The potential energy due to gravity is expressed as:  l U i ,g   i mi g 0 1 ri dxi (7) 0 And assuming the Euler- Bernoulli model of the flexible link, the potential energy related to elasticity is given as: U i ,e   2v 1 li EI i ( 2i ) dxi 2 0 xi (8) Also, it is must be mentioned that the generalized coordinate vector regarding to the ith link of the robot is given  as q  i ei1 ... eini T , and proper determining of the generalized coordinates must be performed.   III. MODAL SHAPE EIGEN FUNCTIONS In the AMM there are numerous ways to choose the boundary conditions. The present study addresses four well-known conditions. Ideally, the optimum set of assumed modes is that closest to natural modes of the system. Hence, there is no stipulation as to which set of assumed modes should be used. Natural modes depend on several factors such as size of hub inertia and size of payload mass. Choosing appropriate conditions is very important and it may cause better consequences in the results [13]. Hence, the ultimate choice requires an assessment based on the actual robot structure and for example, anticipated range of payloads together with its natural modes [14]. Therefore, four normal modes for some familiar mode conditions are described as follows. 3.1. Pinned-pinned boundary condition As the pinned-pinned boundary condition is presumed, the mode shapes are presented as: ij ( xi )  Aij sin( Bij xi ) (9) Where Aij and Bij are determined by the following equation: cosh( Bijli ) Aij  cos( Bijli ) (10) Bij li  3.14 6.28 9.42 12.56 3.2. Clamped-free boundary condition As the clamped-free boundary condition is presumed, the mode shapes are presented as: ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi ) (11) Where Aij and Bij are determined by the following equation: cos( Bijli )  cosh( Bijli ) Aij  sin( Bijli )  sinh( Bijli ) (12)   Bij li 1.87 4.69 7.85 10.99 www.theijes.com The IJES Page 111
  • 4. Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms 3.3. Clamped-clamped boundary condition As the clamped-clamped boundary condition is presumed, the mode shapes are presented as: ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi ) (13) Where Aij and Bij are determined by the following equation: cos( Bijli )  cosh( Bijli ) Aij  sin( Bijli )  sinh( Bijli ) (14)   Bij li  4.73 7.85 10.99 14.13 3.4. Clamped-pinned boundary condition As the clamped-pinned boundary condition is presumed, the mode shapes are presented as: ij ( xi )  sin( Bij xi )  sinh( Bij xi )  Aij cos( Bij xi )  cosh( Bij xi ) (15) Where Aij and Bij are determined by the following equation: sin( Bijli )  sinh( Bijli ) Aij   cos( Bijli )  cosh( Bijli ) (16)   Bij li  3.92 7.06 10.21 13.35 IV. DYNAMIC MODEL OF A SINGLE-LINK FLEXIBLE ROBOT In this section, the nonlinear dynamic modeling of a single-link flexible robotic arm is done. If the boundary condition of the system is presumed as clamped-free condition. Furthermore, only the first modal shape function of the system is considered in modeling of the system. Thus, the lateral deflection of the single link in the local coordinate system attached to the first link is presented as:    cos( B11l1 )  cosh( B11l1 )  v1( x1 , t )   sin( B11x1 )  sinh( B11x1 )   (17)  sin( B l )  sinh( B l ) cos( B11x1 )  cosh( B11x1 ) e11    11 1 11 1     Where l1 is the length of the arm, x1 can change between 0  x1  l1 , and B11 l1 is equals to 1.87. 1 Then, the transformation matrix T0 is defined as: 1 cos 1  sin 1  T0   (18)   sin 1 cos 1  And regarding to Eq. 4, the displacement vector of the robot in the reference coordinate system can be written as:   X  cos 1 x1  sin 1 v1  r1   1    (19)   Y1   sin 1 x1  cos 1 v1  The velocity vector of the system is given by:       X   sin 1 x1 1  cos 1 v1 1  sin 1 v1   r1   1          Y1   cos 1x1 1  sin 1 v1 1  cos 1 v1  (20) Thus, the kinetic energy of the flexible robotic arm is stated as: l T   1 1  2 2  X1  Y1 dx1 20 (21) Moreover, the potential energy of the system regarding to the gravity is: l1 U , g   m1 g Y1 dx1 (21) 0 And the potential energy of the flexible manipulator due to flexible effects can be written as: l U ,e  11  2v  EI1( x 21 ) dx1 20 1 www.theijes.com (8) The IJES Page 112
  • 5. Application of Assumed Mode Method in Nonlinear Dynamic Analysis of Elastic Robot Arms  Finally, the generalized coordinate vector is defined as q  1 e11T , and the nonlinear dynamic equations of the system can be derived regarding to Eq.1 and Eq. 2. V. CONCLUSION In this paper, the nonlinear dynamic analysis of the elastic robot arms have been studied using assumed mode method. The total dynamic displacement of the system has been modeled as a rigid motion and a flexible displacement. Then the link flexibility has been formulates as a summation of spatial modal eigen functions multiplied to time-varying mode amplitudes. Hence the eigen function are relevant to boundary conditions of the system, some different boundary conditions have been considered, and their corresponding eigen functions have been presented. Then, the total displacement of the elastic arm in reference coordinate system has been obtained and the Lagrange principle has been used to derive the nonlinear dynamic motion of the elastic robot arm. Finally, the assumed mode method has been employed to derive the dynamic equations of a single-link manipulator. REFERENCE [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] Mahmoodi S N, Ahmadian M (2010) Modified Acceleration Feedback for Active Vibration Control of Aerospace Structures. Smart Materials and Structures, 19: 65-70. Satoko A, Kazuya Y (2010) Adaptive Reaction Control for Space Robotic Applications with Dynamic Model Uncertainty. Advanced Robotics, 24: 1099-1126. Kumar R, Berkelman P, Gupta P, Barnes A, Jensen P S, Whitcomb L L, Taylor R (2000) Preliminary Experiments in Cooperative Human/robot Force Control for Robot Assisted Micro-surgical Manipulation. Proc of IEEE Int Conf on Robotics and Automation, 26: 123-132. Liao H, Suzuki H, Matsumiya K, Masamune K, Dohi T, Chiba T (2008) Fetus-supporting Flexible Manipulator with Balloontype Stabilizer for Endoscopic Intrauterine Surgery. Int J of Medical Robotics and Computer Assisted Surgery, 4: 214–223. Zhong J L (2011) Dynamic Modeling and Vibration Control of a Space Flexible Manipulator Using Piezoelectric Actuators and Sensors. Advanced Materials Research, 345: 46-52. Shi J X, Albu-Schaffer A, Hirzinger G (1998) Key Issues in the Dynamic Control of Lightweight Robots for Space and Terrestrial Applications. Proc of IEEE Int Conf on Robotics and Automation, 1: 490–497. Martins J, Botto M A, Sa da Costa J (2002) Modeling Flexible Beams for Robotic Manipulators. Multibody System Dynamics, 7: 79-100. Martins J M, Mohamed Z, Tokhi M O, Sa da Costa J, Botto M A (2003) Approaches for Dynamic Modeling of Flexible Manipulator Systems. IEEE Proc on Control Theory and Applications, 150: 401–411. Rakhsha F, Goldenberg A A (1985) Dynamic Modeling of a Single Link Flexible Robot. Proc of the IEEE Int Conf on Robotics and Automation, 984–989. Singh T (1991) Dynamics and Control of Flexible Arm Robots. Ph.D. Thesis, Mechanical Engineering, Waterloo University, Canada. Megahed S M, Hamza K T (2004) Modeling and Simulation of Planar Flexible Link Manipulators with Rigid Tip Connections to Revolute Joints. Robotica, 22: 285-300. Meghdari A, Fahimi F (2001) On the First-order Decoupling of Dynamical Equations of Motion for Elastic Multibody Systems as Applied to a Two-link Flexible Manipulator. Multibody Systems Dynamics, 5: 1-20. Korayem M H, Rahimi H N (2010) Nonlinear Dynamic Analysis for Elastic Robotic Arms. Frontier of Mechanical Engineering, 1-8. Fraser A R, Daniel R W (1991) Perturbation Techniques for Flexible Manipulators. Kluwer International Series in Engineering and Computer Science, 138. www.theijes.com The IJES Page 113