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Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
www.ijera.com 100 | P a g e
Stability Analysis of Quadruped-imitating Walking Robot Based
on Inverted Pendulum Model
Yongming Wang, Xuetan Xu, Song Song
(School of Mechanical Engineering, Anhui University of Technology, Ma’anshan, Anhui Province, China)
ABSTRACT
A new kind of quadruped-imitating walking robot is designed, which is composed of a body bracket, leg
brackets and walking legs. The walking leg of the robot is comprised of a first swiveling arm, a second
swiveling arm and two striding leg rods. Each rod of the walking leg is connected by a rotary joint, and is
directly controlled by the steering gear. The walking motion is realized by two striding leg rods alternately
contacting the ground. Three assumptions are put forward according to the kinematic characteristics of the
quadruped-imitating walking robot, and then the centroid equation of the robot is established. On this basis, this
paper simplifies the striding process of the quadruped-imitating walking robot into an inverted pendulum model
with a constant fulcrum and variable pendulum length. According to the inverted pendulum model, the stability
of the robot is not only related to its centroid position, but also related to its centroid velocity. Takes two typical
movement cases for example, such as walking on flat ground and climbing the vertical obstacle, the centroid
position, velocity curves of the inverted pendulum model are obtained by MATLAB simulations. The results
show that the quadruped-imitating walking robot is stable when walking on flat ground. In the process of
climbing the vertical obstacle, the robot also can maintain certain stability through real-time control adjusted by
the steering gears.
Keywords –walking robot, stability, inverted pendulum model, motion equation, simulation analysis
I. INTRODUCTION
With the development of science and technology,
the application of the walking robot is more and more
widely. The motion stability of the walking robot is a
hot issue concerned by scholars both at home and
abroad. For example, based on the principle of stable
cone, the stability of a wheel legged robot was
evaluated by Tian Hai-bo [1]
. Aiming at the point
contact biped robot, its stability of the upright posture
was studied by Sheng Tao [2]
. Hybrid dynamic model
of the three-link planar biped robot was established
by Song Xian-xi [3]
, and the motion stability of the
robot was analyzed by using Poincare mapping
method. Based on a two-point-foot walking pattern,
an inverted pendulum mode of the biped walking
robot was established, and the stability of the walking
process was analyzed by using Poincare mapping
method [4]
. In order to make the robot walk stably, Hu
Jin-dong [5]
used the centroid Jacobi matrix to achieve
the centroid compensation. The static stability of the
eight-legged robot was described by using the
normalized energy stability margin method, and a
mathematical model of static stability margin in
complex environment was established Wang Li-quan
[6]
. The stability criterion of zero moment point
(ZMP) was put forward by Vukobratovic[7]
, which is
the basic method of walking stability analysis of
biped robot. M.Wisse, a Holland scholar come from
Technische Universiteit Delft, researched the stability
of the robot from the viewpoint of dynamic system [8]
.
Kang [9]
utilized the effective mass center (EMC)
method to verify the stability of walking robot. From
the perspective of energy consumption, Roy [10]
studied the effect of the steering gait on the motion
stability of the hexapod robot.
This paper studies a kind of quadruped-imitating
walking robot, which walking motion is realized by
two striding leg rods alternately contacting the
ground. Three assumptions are put forward according
to the kinematic characteristics of the quadruped-
imitating walking robot. On this basis, the striding
process of the robot is simplified into an inverted
pendulum model with a constant fulcrum and
variable pendulum length, and the factors affecting
its stability are analyzed.
II. THE PRINCIPLE OF THE QUADRUPED-
IMITATING WALKING ROBOT
The quadruped-imitating walking robot is
composed of a body bracket, leg brackets and
walking legs, and its principle is shown in Figure 1.
Among them, the walking leg is comprised of a first
swiveling arm, a second swiveling arm and two
striding leg rods, wherein, all the leg rods are
connected by rotary joints, and the rotary joints are
driven by steering gears directly. The first swiveling
arm, the second swiveling arm and the striding leg
rod rotate at the speed ratio of 4:2:1, the two striding
leg rods contact the ground alternately to complete
the walking motion. The two striding leg rods at the
RESEARCH ARTICLE OPEN ACCESS
Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
www.ijera.com 101 | P a g e
same side are perpendicular. In order to control the
steering of the quadruped-imitating walking robot,
the leg bracket and the body bracket is connected by
a rotary joint, which is driven by the steering gear.
The body bracket
The leg bracket
The first swiveling arm rod
The second swiveling arm rod
The striding leg rod
The striding leg rod
Fig.1 The principle of the walking robot
III. THE CENTROID EQUATION OF THE
QUADRUPED-IMITATING WALKING
ROBOT
The walking motion of the quadruped-imitating
walking robot is realized by the fore and rear striding
leg rods contact the ground alternately, so the
centroid position of the robot is changing.
Considering that the walking process of the
quadruped-imitating walking robot is periodic, so
takes one striding process for stability analysis.
A complete walking period includes two phases:
four-leg supporting phase and two-leg supporting
phase. The stability of the four-leg support phase is
well, but the stability of the two-leg support phase is
poor, so only the two-leg support phase is studied.
According to its kinematic characteristics, three
assumptions are put forward.
1) The mass of each rod is concentrated in its
centroid;
2) The contact process between the striding leg
rod and the ground is realized by a rotation around a
fulcrum, and the slippage is ignored;
3) Only consider about robots’ movement in the
vertical and fore-and-aft direction, and ignore the
movement in the left-right direction.
As shown in Figure 2, according to the motion
principle of the quadruped-imitating walking robot,
in accordance with the right-hand rule to establish its
coordinate system, the touchdown point of right
striding leg rod is defined as the coordinate origin O,
the forward direction is X-direction and the vertical
direction is Z-direction. Oi represents the centroid of
the rod i, i = 1, 2, …19, wherein, 1 and 11 are the
first swiveling arms; 2 and 12 are the second
swiveling arms; 3, 4, 13 and 14 are the striding leg
rods; 5, 6, 7, 8, 15, 16, 17 and 18 are feet at the end
of the striding leg rods, which are rubber and their
mass are ignored; 9 and 19 are leg brackets; 10 is the
body bracket. (xi, yi, zi) represent the coordinates of
the centroid of rod i.
x
y
Z
O6
O
O4
O8
O2
O10
O3
O7
O9
O14
O19
O11
O13 O16
O17
O18
O5
O12
O15
O1
θ4 θ2
θ1
θ3
v
θ
Fig.2 The coordinate system of the walking robot
The initial position of the robot is that the first
swiveling arm is in vertical pose. θ1, θ2, θ3 and θ4
indicate the angles between the positive X-direction
and the first swiveling arm, the second swiveling
arm, the fore striding leg rod and the rear striding leg
rod respectively. According to the coordinate system
established in Figure 2, when the first swiveling arm
has rotated θ angle from the initial position, the
following equations are easy to get.
-
1 2
-
2 2
3
-
3 4 2
-
4 4 4

 

 
 

 




 


 


 

(1)
It is assumed that l1, 2l2, 2l3, l4 and l5 are indicate
the length of the first swiveling arm, the second
swiveling arm, the striding leg rod, the leg bracket
and the body bracket respectively. According to the
coordinate system established in Figure 2, the
centroid equations of rods are as follows (without
considering Y-coordinates):
1
cos cos cos
1 1 1 2 2 3 32
1
sin sin sin
1 1 1 2 2 3 32
x l l l
z l l l
  
  

  

   

(2)
cos cos
2 2 2 3 3
sin sin
2 2 2 3 3
x l l
z l l
 
 
 

 
(3)
cos
3 3 3
sin
3 3 3
x l
z l





(4)
2 cos cos
4 2 2 3 3
2 sin sin
4 2 2 3 3
x l l
z l l
 
 
 

 
(5)
Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
www.ijera.com 102 | P a g e
5 3 3
5 3 3
2 cos
2 sin
x l
z l





(6)
0
6
0
6
x
z



(7)
cos 2 cos cos
7 3 4 2 2 3 3
sin 2 sin sin
7 3 4 2 2 3 3
x l l l
z l l l
  
  
  

  
(8)
2 cos cos cos
8 2 2 3 3 3 4
2 sin sin sin
8 2 2 3 3 3 4
x l l l
z l l l
  
  
  

  
(9)
cos cos cos
9 1 1 2 2 3 3
sin sin sin 2
9 1 1 2 2 3 3 4
x l l l
z l l l l
  
  
  

   
(10)
cos cos cos
10 1 1 2 2 3 3
sin sin sin
10 1 1 2 2 3 3
x l l l
z l l l
  
  
  

  
(11)
, , 11, 12 19, 1, 2, 9i j i jx x z z i j      (12)
According to the coordinates of the centroid of
each rod given in equation (1) to (12), the centroid
coordinates’ expressions of the quadruped-imitating
walking robot can be obtained.
19
i i
1
19
i
1
19
i i
1
19
i
1
m x
ix
m
i
m z
iz
m
i


 
 
 



 


 
(13)
IV. THE INVERTED PENDULUM MODEL OF
THE QUADRUPED-IMITATING
WALKING ROBOT
Based on the above assumptions, the quadruped-
imitating walking robot can be simplified as an
inverted pendulum model with a constant fulcrum
and variable pendulum length, as shown in Figure 3.
There are two cases of centroid pose of the inverted
pendulum model. In Figure 3 (a), there is a minor
deviation between the centroid position and the
supporting point O. If the centroid position of the
robot moves toward the supporting point O, then the
robot can recover balance by adjusting the centroid
position through the striding movement before the
robot falls down, so its stability is high. If the
centroid position of the robot moves away from the
supporting point O, and the deviation is increasing,
then the robot may not be able to adjust in time and
then will fall down. In Figure 5 (b), the centroid
position deviates from the supporting point O too far,
and which is beyond the adjustment range of the
robot, therefore, it will be fall down.
X
Z
O
v
α
X
Z
O
α
v
The centroid of the robot The centroid of the robot
(a) (b)
Fig.3 The inverted pendulum model of
quadruped-imitating walking robot
As shown in Figure 4, if the centroid of the
quadruped-imitating walking robot is located at the
upper right of the supporting point O, the robot has a
tendency to fall down in the positive direction of X-
axis. At this time, the robot's two rear striding leg
rods have rotated to the front of the supporting point
O, and prepare to contact the ground at the
touchdown point A. In this case, to maintain the
stability of the robot, it is necessary to ensure that the
centroid of the robot is located at the left of the
touchdown point A.
X
Z
O A
the touchdown point
Fig.4 The position relationship between the
centroid of the robot and the touchdown point
Through the analysis of the inverted pendulum
model of the robot, the factors affecting the
movement stability are not only related to the
centroid position of the robot, but also related to the
centroid velocity of the robot. If the centroid of the
robot is closer to the supporting point O and its
movement direction is opposite to the direction of
tumble tendency, then the stability of the robot is
better.
V. STABILITY ANALYSIS OF THE ROBOT
WHEN WALKING ON FLAT GROUND
According to the inverted pendulum model of
the robot mentioned above, the position and velocity
of the centroid can be simulated by using MATLAB
Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
www.ijera.com 103 | P a g e
software, and the simulation parameters of the robot
are shown in table 1.
Table.1 Simulation parameters
Parameter name Symbol Value
The length of the first
swiveling arm
l1 0.05 m
The half-length of the second
swiveling rod
l2 0.08 m
The half-length of the striding
leg rod
l3 0.07 m
The length of the leg bracket l4 0.225 m
The length of the body
bracket
l5 0.45 m
The angular velocity of the
first swiveling arm
ω 12 rpm
According to the equation (13) and Table 1, the
centroid displacement curve of the quadruped-
imitating walking robot is obtained by MATLAB
simulation, as shown in Figure 5. In a stride process,
the robot’s centroid displacement in X-direction
changes from -0.130m to 0.130m, the centroid
displacement firstly increases from 0.135 m to 0.190
m in Z-direction, after moves across the coordinate
origin point, the centroid displacement drops to
0.135m again.
-0.2 -0.1 0 0.1 0.2
0.13
0.14
0.15
0.16
0.17
0.18
0.19
0.2
质心X方向位移 x/m
质心Z方向位移z/m
The displacement of centroid in X-direction x/m
ThedisplacementofcentroidinZ-directionz/m
Fig.5 The centroid displacement curve of the
robot when walking on flat ground
When the centroid of robot is on the negative
half of X-axis, the robot has a tendency to fall to
negative direction X-direction. The angle between the
positive direction of X-axis and the beeline defined
by the initial centroid position and the touchdown
point O is largest, that is:
0
0
arctan
max
x
z
  (14)
According to the simulation results of Figure 5, it
can be known that x0=-0.130m, z0=0.135m, then
according to equation (14), the angle αmax is 43.9°. As
the robot walks, the angle becomes smaller, and the
distance between the centroid and the origin O
decreases gradually, so the stability is pretty good.
The stability of the quadruped-imitating walking
robot is also related to the velocity of the centroid.
The velocity curve of the centroid in the X-direction
can be obtained by MATLAB simulation, as shown
in Figure 6. When the centroid of the robot is on the
negative half X-axis, the velocity of the centroid in X-
direction increases to the maximum of 0.0465m/s
rapidly, and then decreases gradually. When the
centroid of the robot is moving to the above of the
origin O, its velocity decreases to the minimum of
0.0345 m/s. In this process, the velocity of the
centroid is positive, that is, the robot is moving
towards the opposite direction of the robot trends to
fall down, so the stability of the robot is good in this
process.
-0.2 -0.1 0 0.1 0.2
0.034
0.036
0.038
0.04
0.042
0.044
0.046
0.048
质心在x方向位移 x/m
质心在x方向的速度v/(m/s)
The displacement of centroid in X-direction x/m
ThevelocityofcentroidinX-directionv(m/s)
Fig.6 The velocity curve of the centroid in the X-
direction
When the centroid of the robot is on the positive
half X-axis, the velocity of the centroid in X-
direction increases to the maximum of 0.0465m/s
gradually, and then decreases rapidly, and the
velocity of centroid is positive all the time. In this
process, the two rear striding leg rods are moving on
the positive half X-axis, that is, they are moving from
origin O toward touchdown point A. According to the
coordinate system shown in Figure 2, the
displacement curve of the end point of the rear
striding leg rod can be obtained as shown in Figure 7.
The displacement of the end point of the rear striding
leg rod in X-direction changes from -0.16m to
0.259m, and in Figure 5, the robot’s centroid position
changes from 0 to 0.130m. That is, the centroid is on
the left of the touchdown point A, so it is stable when
the robot walking on the flat ground.
Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
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-0.2 -0.1 0 0.1 0.2 0.3
0
0.05
0.1
0.15
0.2
0.25
着地的后腿杆x方向位移 x/m
着地的后腿杆z方向位移z/m
Thedisplacementoftheendpointof
therearstridinglegrodinZ-directionz/m
The displacement of the end point of
the rear striding leg rod in X-direction x/m
Fig.7 The displacement curve of the end point of
the rear striding leg rod
VI. STABILITY ANALYSIS OF THE ROBOT
WHEN CLIMBING THE VERTICAL
OBSTACLE
When the robot climbs the vertical obstacle, its
centroid equation can be established similar to that
when the robot walks on flat ground. The centroid
displacement curve of the quadruped-imitating
walking robot when climbing the vertical obstacle is
obtained through MATLAB simulation, as shown in
Figure 8.
-0.2 -0.1 0 0.1 0.2
-0.05
0
0.05
0.1
0.15
0.2
质心在x方向位移 x/m
质心在z方向位移z/m
ThedisplacementofcentroidinZ-direction
z/m
The displacement of centroid in X-direction x/m
Fig.8 The centroid displacement curve of the
robot when climbing the vertical obstacle
The centroid displacement of the robot in the X-
direction ranges from -0.07m to 0.130m. The
centroid displacement of the robot in Z-direction
begins from -0.0398m, when the centroid of the robot
is moving to the top of the origin O, it increases to
the maximum of 0.190m in Z-direction, and after the
centroid moves across the origin O, and the centroid
displacement drops to 0.135m in the Z-direction. The
curve above the dotted line in Figure 8 is the same as
that shown in Figure 5, it illustrates that the robot has
completed climbing the vertical obstacle.
Assumes that α0 is the angle between the positive
direction of Z-axis and the beeline defined by the
initial centroid and the origin O, and its value is:
0
0
0
-arctan
x
z
  (15)
According to the simulation results of Figure 8, it
can be known that x0=-0.07m, z0=-0.0398m, and
α0=119.6°. At the beginning of climbing the vertical
obstacle, the centroid of the robot is on the negative
half X-axis, the distance between the centroid and the
original point O is large, so the robot has the
tendency to fall down.
The stability of the quadruped-imitating walking
robot is also related to the velocity of the centroid.
When the robot climbs the vertical obstacle, the
velocity curve of the centroid in the X-direction is
obtained through MATLAB simulation, as shown in
Figure 9.
-0.2 -0.1 0 0.1 0.2
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
质心x方向位移 x/m
质心x方向速度v/(m/s)
The displacement of centroid in X direction x/m
ThevelocityofcentroidinXdirectionv(m/s)
Fig.9 The velocity curve of the centroid in the X-
direction
The minimum value of the velocity of the robot’s
centroid in the X-direction is -0.0625m/s, and the
maximum one is 0.0464 m/s. The curve above the
dotted line in Figure 9 is the same as that shown in
Figure 6, it illustrates that the robot has completed
climbing the vertical obstacle. In the process of the
robot climbing the vertical obstacle, the displacement
of the robot’s centroid in the X-direction changes
from -0.07m to 0.1494m, and the value of velocity is
negative, the centroid of robot moves away from the
touchdown point A, so its stability is poor. Due to all
rods of the walking leg are rotated by the steering
gears directly, when the robot is going to out of
balance, the centroid of robot is moving toward the
touchdown point A by changing the output torque of
the steering gears. When the velocity of the centroid
changes to a positive value, the stability of the robot
is improved. When the velocity of the centroid
increases in X-direction, it will move towards the
Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com
ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105
www.ijera.com 105 | P a g e
touchdown point A and the robot will recover to the
gait that walking on flat ground eventually.
VII. CONCLUSION
According to the kinematic characteristics of the
quadruped-imitating walking robot, the striding
process of the robot is simplified into an inverted
pendulum model with a constant fulcrum and
variable pendulum length, and the factors affecting
its stability are analyzed.
1) The factors that affect the movement stability of
the robot are not only related to the centroid position,
but also related to the velocity of the centroid. If the
centroid is closer to the supporting point and its
movement direction is opposite to the direction of the
tumble tendency of the robot, then the stability of the
robot is better.
2) Through the analysis of the centroid position and
velocity of the robot based on the inverted pendulum
model, it is proved that the stability of the robot
walking on flat ground is better than that climbing the
vertical obstacle. In the process of climbing the
vertical obstacle, the robot can also maintain its
stability through real-time adjustment of the steering
gears.
VIII. ACKNOWLEDGEMENTS
This research was supported by Natural Science
Fund of Education Department of Anhui Province,
China under grant JK2015ZD11, and the National
Natural Science Foundation of China under grant
51051001.
REFERENCES
[1] Tian Hai-bo, Fang Zong-de, Zhou Yong,
Analysis and Control for Tumble Stability of
Wheel-Legged Robots, ROBOT, 32(1),
2009,159-165.
[2] Sheng Tao, Wang Jian, Ma Hong-xu,
Vertical Posture Control of Point-
Connecting Biped Robots, CONTROL
ENGINEERING OF CHINA, 15(6),
2008,703-706.
[3] Song Xian-xi, Modeling and Stability
Analysis of Biped Robot, University of
Science and Technology of China, Hefei,
China, 2010.
[4] Zhong Lin-feng, Luo Xiang, Guo Chen-
guang, Stability analysis of attraction basin
in two-point-foot walking pattern, Journal of
Southeast University, 41(1), 2011, 89-94.
[5] Hu Jin-dong, Liu Guo-dong, Stable walking
control in whole body coordination
framework for biped humanoid robot,
Computer Engineering and Applications,
47(25), 2011, 231-234.
[6] Wang Li-quan, Wang Hai-long, Chen Xi,
Xu Jun-wei, Ren Meng-xuan, Walking
stability analysis of an octopod crab-like
robot, Journal of Central South University
(Science and Technology), 45(10), 2014,
3416-3422.
[7] Vukobratovic M, Frank A, Juricic D, On the
Stability of Biped Locomotion, IEEE
Transactions on Biomedical Engineering,
17(1),1970, 25-36.
[8] Wisse M, Essentials of Dynamic Walking:
Analysis and Design of Two-Legged Robots,
(Netherlands: Technische Universiteit Delft.
2004.)
[9] Dong-Oh Kang, Yun-Jung Lee, Seung-Ha
Lee, etc., A study on an adaptive gait for a
quadruped walking robot under external
forces, Proceedings of the IEEE
International Conference on Robotics and
Automation, Piscataway, NJ, USA: IEEE,
1997: 2777-2780.
[10] S.S. Roy, D.K. Pratihar, Effects of turning
gait parameters on energy consumption and
stability of a six-legged walking robot,
Robotics and Autonomous Systems, 60(1),
2012, 72-82.

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Stability Analysis of Quadruped-imitating Walking Robot Based on Inverted Pendulum Model

  • 1. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 100 | P a g e Stability Analysis of Quadruped-imitating Walking Robot Based on Inverted Pendulum Model Yongming Wang, Xuetan Xu, Song Song (School of Mechanical Engineering, Anhui University of Technology, Ma’anshan, Anhui Province, China) ABSTRACT A new kind of quadruped-imitating walking robot is designed, which is composed of a body bracket, leg brackets and walking legs. The walking leg of the robot is comprised of a first swiveling arm, a second swiveling arm and two striding leg rods. Each rod of the walking leg is connected by a rotary joint, and is directly controlled by the steering gear. The walking motion is realized by two striding leg rods alternately contacting the ground. Three assumptions are put forward according to the kinematic characteristics of the quadruped-imitating walking robot, and then the centroid equation of the robot is established. On this basis, this paper simplifies the striding process of the quadruped-imitating walking robot into an inverted pendulum model with a constant fulcrum and variable pendulum length. According to the inverted pendulum model, the stability of the robot is not only related to its centroid position, but also related to its centroid velocity. Takes two typical movement cases for example, such as walking on flat ground and climbing the vertical obstacle, the centroid position, velocity curves of the inverted pendulum model are obtained by MATLAB simulations. The results show that the quadruped-imitating walking robot is stable when walking on flat ground. In the process of climbing the vertical obstacle, the robot also can maintain certain stability through real-time control adjusted by the steering gears. Keywords –walking robot, stability, inverted pendulum model, motion equation, simulation analysis I. INTRODUCTION With the development of science and technology, the application of the walking robot is more and more widely. The motion stability of the walking robot is a hot issue concerned by scholars both at home and abroad. For example, based on the principle of stable cone, the stability of a wheel legged robot was evaluated by Tian Hai-bo [1] . Aiming at the point contact biped robot, its stability of the upright posture was studied by Sheng Tao [2] . Hybrid dynamic model of the three-link planar biped robot was established by Song Xian-xi [3] , and the motion stability of the robot was analyzed by using Poincare mapping method. Based on a two-point-foot walking pattern, an inverted pendulum mode of the biped walking robot was established, and the stability of the walking process was analyzed by using Poincare mapping method [4] . In order to make the robot walk stably, Hu Jin-dong [5] used the centroid Jacobi matrix to achieve the centroid compensation. The static stability of the eight-legged robot was described by using the normalized energy stability margin method, and a mathematical model of static stability margin in complex environment was established Wang Li-quan [6] . The stability criterion of zero moment point (ZMP) was put forward by Vukobratovic[7] , which is the basic method of walking stability analysis of biped robot. M.Wisse, a Holland scholar come from Technische Universiteit Delft, researched the stability of the robot from the viewpoint of dynamic system [8] . Kang [9] utilized the effective mass center (EMC) method to verify the stability of walking robot. From the perspective of energy consumption, Roy [10] studied the effect of the steering gait on the motion stability of the hexapod robot. This paper studies a kind of quadruped-imitating walking robot, which walking motion is realized by two striding leg rods alternately contacting the ground. Three assumptions are put forward according to the kinematic characteristics of the quadruped- imitating walking robot. On this basis, the striding process of the robot is simplified into an inverted pendulum model with a constant fulcrum and variable pendulum length, and the factors affecting its stability are analyzed. II. THE PRINCIPLE OF THE QUADRUPED- IMITATING WALKING ROBOT The quadruped-imitating walking robot is composed of a body bracket, leg brackets and walking legs, and its principle is shown in Figure 1. Among them, the walking leg is comprised of a first swiveling arm, a second swiveling arm and two striding leg rods, wherein, all the leg rods are connected by rotary joints, and the rotary joints are driven by steering gears directly. The first swiveling arm, the second swiveling arm and the striding leg rod rotate at the speed ratio of 4:2:1, the two striding leg rods contact the ground alternately to complete the walking motion. The two striding leg rods at the RESEARCH ARTICLE OPEN ACCESS
  • 2. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 101 | P a g e same side are perpendicular. In order to control the steering of the quadruped-imitating walking robot, the leg bracket and the body bracket is connected by a rotary joint, which is driven by the steering gear. The body bracket The leg bracket The first swiveling arm rod The second swiveling arm rod The striding leg rod The striding leg rod Fig.1 The principle of the walking robot III. THE CENTROID EQUATION OF THE QUADRUPED-IMITATING WALKING ROBOT The walking motion of the quadruped-imitating walking robot is realized by the fore and rear striding leg rods contact the ground alternately, so the centroid position of the robot is changing. Considering that the walking process of the quadruped-imitating walking robot is periodic, so takes one striding process for stability analysis. A complete walking period includes two phases: four-leg supporting phase and two-leg supporting phase. The stability of the four-leg support phase is well, but the stability of the two-leg support phase is poor, so only the two-leg support phase is studied. According to its kinematic characteristics, three assumptions are put forward. 1) The mass of each rod is concentrated in its centroid; 2) The contact process between the striding leg rod and the ground is realized by a rotation around a fulcrum, and the slippage is ignored; 3) Only consider about robots’ movement in the vertical and fore-and-aft direction, and ignore the movement in the left-right direction. As shown in Figure 2, according to the motion principle of the quadruped-imitating walking robot, in accordance with the right-hand rule to establish its coordinate system, the touchdown point of right striding leg rod is defined as the coordinate origin O, the forward direction is X-direction and the vertical direction is Z-direction. Oi represents the centroid of the rod i, i = 1, 2, …19, wherein, 1 and 11 are the first swiveling arms; 2 and 12 are the second swiveling arms; 3, 4, 13 and 14 are the striding leg rods; 5, 6, 7, 8, 15, 16, 17 and 18 are feet at the end of the striding leg rods, which are rubber and their mass are ignored; 9 and 19 are leg brackets; 10 is the body bracket. (xi, yi, zi) represent the coordinates of the centroid of rod i. x y Z O6 O O4 O8 O2 O10 O3 O7 O9 O14 O19 O11 O13 O16 O17 O18 O5 O12 O15 O1 θ4 θ2 θ1 θ3 v θ Fig.2 The coordinate system of the walking robot The initial position of the robot is that the first swiveling arm is in vertical pose. θ1, θ2, θ3 and θ4 indicate the angles between the positive X-direction and the first swiveling arm, the second swiveling arm, the fore striding leg rod and the rear striding leg rod respectively. According to the coordinate system established in Figure 2, when the first swiveling arm has rotated θ angle from the initial position, the following equations are easy to get. - 1 2 - 2 2 3 - 3 4 2 - 4 4 4                           (1) It is assumed that l1, 2l2, 2l3, l4 and l5 are indicate the length of the first swiveling arm, the second swiveling arm, the striding leg rod, the leg bracket and the body bracket respectively. According to the coordinate system established in Figure 2, the centroid equations of rods are as follows (without considering Y-coordinates): 1 cos cos cos 1 1 1 2 2 3 32 1 sin sin sin 1 1 1 2 2 3 32 x l l l z l l l                 (2) cos cos 2 2 2 3 3 sin sin 2 2 2 3 3 x l l z l l          (3) cos 3 3 3 sin 3 3 3 x l z l      (4) 2 cos cos 4 2 2 3 3 2 sin sin 4 2 2 3 3 x l l z l l          (5)
  • 3. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 102 | P a g e 5 3 3 5 3 3 2 cos 2 sin x l z l      (6) 0 6 0 6 x z    (7) cos 2 cos cos 7 3 4 2 2 3 3 sin 2 sin sin 7 3 4 2 2 3 3 x l l l z l l l              (8) 2 cos cos cos 8 2 2 3 3 3 4 2 sin sin sin 8 2 2 3 3 3 4 x l l l z l l l              (9) cos cos cos 9 1 1 2 2 3 3 sin sin sin 2 9 1 1 2 2 3 3 4 x l l l z l l l l               (10) cos cos cos 10 1 1 2 2 3 3 sin sin sin 10 1 1 2 2 3 3 x l l l z l l l              (11) , , 11, 12 19, 1, 2, 9i j i jx x z z i j      (12) According to the coordinates of the centroid of each rod given in equation (1) to (12), the centroid coordinates’ expressions of the quadruped-imitating walking robot can be obtained. 19 i i 1 19 i 1 19 i i 1 19 i 1 m x ix m i m z iz m i                  (13) IV. THE INVERTED PENDULUM MODEL OF THE QUADRUPED-IMITATING WALKING ROBOT Based on the above assumptions, the quadruped- imitating walking robot can be simplified as an inverted pendulum model with a constant fulcrum and variable pendulum length, as shown in Figure 3. There are two cases of centroid pose of the inverted pendulum model. In Figure 3 (a), there is a minor deviation between the centroid position and the supporting point O. If the centroid position of the robot moves toward the supporting point O, then the robot can recover balance by adjusting the centroid position through the striding movement before the robot falls down, so its stability is high. If the centroid position of the robot moves away from the supporting point O, and the deviation is increasing, then the robot may not be able to adjust in time and then will fall down. In Figure 5 (b), the centroid position deviates from the supporting point O too far, and which is beyond the adjustment range of the robot, therefore, it will be fall down. X Z O v α X Z O α v The centroid of the robot The centroid of the robot (a) (b) Fig.3 The inverted pendulum model of quadruped-imitating walking robot As shown in Figure 4, if the centroid of the quadruped-imitating walking robot is located at the upper right of the supporting point O, the robot has a tendency to fall down in the positive direction of X- axis. At this time, the robot's two rear striding leg rods have rotated to the front of the supporting point O, and prepare to contact the ground at the touchdown point A. In this case, to maintain the stability of the robot, it is necessary to ensure that the centroid of the robot is located at the left of the touchdown point A. X Z O A the touchdown point Fig.4 The position relationship between the centroid of the robot and the touchdown point Through the analysis of the inverted pendulum model of the robot, the factors affecting the movement stability are not only related to the centroid position of the robot, but also related to the centroid velocity of the robot. If the centroid of the robot is closer to the supporting point O and its movement direction is opposite to the direction of tumble tendency, then the stability of the robot is better. V. STABILITY ANALYSIS OF THE ROBOT WHEN WALKING ON FLAT GROUND According to the inverted pendulum model of the robot mentioned above, the position and velocity of the centroid can be simulated by using MATLAB
  • 4. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 103 | P a g e software, and the simulation parameters of the robot are shown in table 1. Table.1 Simulation parameters Parameter name Symbol Value The length of the first swiveling arm l1 0.05 m The half-length of the second swiveling rod l2 0.08 m The half-length of the striding leg rod l3 0.07 m The length of the leg bracket l4 0.225 m The length of the body bracket l5 0.45 m The angular velocity of the first swiveling arm ω 12 rpm According to the equation (13) and Table 1, the centroid displacement curve of the quadruped- imitating walking robot is obtained by MATLAB simulation, as shown in Figure 5. In a stride process, the robot’s centroid displacement in X-direction changes from -0.130m to 0.130m, the centroid displacement firstly increases from 0.135 m to 0.190 m in Z-direction, after moves across the coordinate origin point, the centroid displacement drops to 0.135m again. -0.2 -0.1 0 0.1 0.2 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 质心X方向位移 x/m 质心Z方向位移z/m The displacement of centroid in X-direction x/m ThedisplacementofcentroidinZ-directionz/m Fig.5 The centroid displacement curve of the robot when walking on flat ground When the centroid of robot is on the negative half of X-axis, the robot has a tendency to fall to negative direction X-direction. The angle between the positive direction of X-axis and the beeline defined by the initial centroid position and the touchdown point O is largest, that is: 0 0 arctan max x z   (14) According to the simulation results of Figure 5, it can be known that x0=-0.130m, z0=0.135m, then according to equation (14), the angle αmax is 43.9°. As the robot walks, the angle becomes smaller, and the distance between the centroid and the origin O decreases gradually, so the stability is pretty good. The stability of the quadruped-imitating walking robot is also related to the velocity of the centroid. The velocity curve of the centroid in the X-direction can be obtained by MATLAB simulation, as shown in Figure 6. When the centroid of the robot is on the negative half X-axis, the velocity of the centroid in X- direction increases to the maximum of 0.0465m/s rapidly, and then decreases gradually. When the centroid of the robot is moving to the above of the origin O, its velocity decreases to the minimum of 0.0345 m/s. In this process, the velocity of the centroid is positive, that is, the robot is moving towards the opposite direction of the robot trends to fall down, so the stability of the robot is good in this process. -0.2 -0.1 0 0.1 0.2 0.034 0.036 0.038 0.04 0.042 0.044 0.046 0.048 质心在x方向位移 x/m 质心在x方向的速度v/(m/s) The displacement of centroid in X-direction x/m ThevelocityofcentroidinX-directionv(m/s) Fig.6 The velocity curve of the centroid in the X- direction When the centroid of the robot is on the positive half X-axis, the velocity of the centroid in X- direction increases to the maximum of 0.0465m/s gradually, and then decreases rapidly, and the velocity of centroid is positive all the time. In this process, the two rear striding leg rods are moving on the positive half X-axis, that is, they are moving from origin O toward touchdown point A. According to the coordinate system shown in Figure 2, the displacement curve of the end point of the rear striding leg rod can be obtained as shown in Figure 7. The displacement of the end point of the rear striding leg rod in X-direction changes from -0.16m to 0.259m, and in Figure 5, the robot’s centroid position changes from 0 to 0.130m. That is, the centroid is on the left of the touchdown point A, so it is stable when the robot walking on the flat ground.
  • 5. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 104 | P a g e -0.2 -0.1 0 0.1 0.2 0.3 0 0.05 0.1 0.15 0.2 0.25 着地的后腿杆x方向位移 x/m 着地的后腿杆z方向位移z/m Thedisplacementoftheendpointof therearstridinglegrodinZ-directionz/m The displacement of the end point of the rear striding leg rod in X-direction x/m Fig.7 The displacement curve of the end point of the rear striding leg rod VI. STABILITY ANALYSIS OF THE ROBOT WHEN CLIMBING THE VERTICAL OBSTACLE When the robot climbs the vertical obstacle, its centroid equation can be established similar to that when the robot walks on flat ground. The centroid displacement curve of the quadruped-imitating walking robot when climbing the vertical obstacle is obtained through MATLAB simulation, as shown in Figure 8. -0.2 -0.1 0 0.1 0.2 -0.05 0 0.05 0.1 0.15 0.2 质心在x方向位移 x/m 质心在z方向位移z/m ThedisplacementofcentroidinZ-direction z/m The displacement of centroid in X-direction x/m Fig.8 The centroid displacement curve of the robot when climbing the vertical obstacle The centroid displacement of the robot in the X- direction ranges from -0.07m to 0.130m. The centroid displacement of the robot in Z-direction begins from -0.0398m, when the centroid of the robot is moving to the top of the origin O, it increases to the maximum of 0.190m in Z-direction, and after the centroid moves across the origin O, and the centroid displacement drops to 0.135m in the Z-direction. The curve above the dotted line in Figure 8 is the same as that shown in Figure 5, it illustrates that the robot has completed climbing the vertical obstacle. Assumes that α0 is the angle between the positive direction of Z-axis and the beeline defined by the initial centroid and the origin O, and its value is: 0 0 0 -arctan x z   (15) According to the simulation results of Figure 8, it can be known that x0=-0.07m, z0=-0.0398m, and α0=119.6°. At the beginning of climbing the vertical obstacle, the centroid of the robot is on the negative half X-axis, the distance between the centroid and the original point O is large, so the robot has the tendency to fall down. The stability of the quadruped-imitating walking robot is also related to the velocity of the centroid. When the robot climbs the vertical obstacle, the velocity curve of the centroid in the X-direction is obtained through MATLAB simulation, as shown in Figure 9. -0.2 -0.1 0 0.1 0.2 -0.08 -0.06 -0.04 -0.02 0 0.02 0.04 0.06 质心x方向位移 x/m 质心x方向速度v/(m/s) The displacement of centroid in X direction x/m ThevelocityofcentroidinXdirectionv(m/s) Fig.9 The velocity curve of the centroid in the X- direction The minimum value of the velocity of the robot’s centroid in the X-direction is -0.0625m/s, and the maximum one is 0.0464 m/s. The curve above the dotted line in Figure 9 is the same as that shown in Figure 6, it illustrates that the robot has completed climbing the vertical obstacle. In the process of the robot climbing the vertical obstacle, the displacement of the robot’s centroid in the X-direction changes from -0.07m to 0.1494m, and the value of velocity is negative, the centroid of robot moves away from the touchdown point A, so its stability is poor. Due to all rods of the walking leg are rotated by the steering gears directly, when the robot is going to out of balance, the centroid of robot is moving toward the touchdown point A by changing the output torque of the steering gears. When the velocity of the centroid changes to a positive value, the stability of the robot is improved. When the velocity of the centroid increases in X-direction, it will move towards the
  • 6. Yongming Wang. Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 6, Issue 1, ( Part 1) January 2016, pp.100-105 www.ijera.com 105 | P a g e touchdown point A and the robot will recover to the gait that walking on flat ground eventually. VII. CONCLUSION According to the kinematic characteristics of the quadruped-imitating walking robot, the striding process of the robot is simplified into an inverted pendulum model with a constant fulcrum and variable pendulum length, and the factors affecting its stability are analyzed. 1) The factors that affect the movement stability of the robot are not only related to the centroid position, but also related to the velocity of the centroid. If the centroid is closer to the supporting point and its movement direction is opposite to the direction of the tumble tendency of the robot, then the stability of the robot is better. 2) Through the analysis of the centroid position and velocity of the robot based on the inverted pendulum model, it is proved that the stability of the robot walking on flat ground is better than that climbing the vertical obstacle. In the process of climbing the vertical obstacle, the robot can also maintain its stability through real-time adjustment of the steering gears. VIII. ACKNOWLEDGEMENTS This research was supported by Natural Science Fund of Education Department of Anhui Province, China under grant JK2015ZD11, and the National Natural Science Foundation of China under grant 51051001. REFERENCES [1] Tian Hai-bo, Fang Zong-de, Zhou Yong, Analysis and Control for Tumble Stability of Wheel-Legged Robots, ROBOT, 32(1), 2009,159-165. [2] Sheng Tao, Wang Jian, Ma Hong-xu, Vertical Posture Control of Point- Connecting Biped Robots, CONTROL ENGINEERING OF CHINA, 15(6), 2008,703-706. [3] Song Xian-xi, Modeling and Stability Analysis of Biped Robot, University of Science and Technology of China, Hefei, China, 2010. [4] Zhong Lin-feng, Luo Xiang, Guo Chen- guang, Stability analysis of attraction basin in two-point-foot walking pattern, Journal of Southeast University, 41(1), 2011, 89-94. [5] Hu Jin-dong, Liu Guo-dong, Stable walking control in whole body coordination framework for biped humanoid robot, Computer Engineering and Applications, 47(25), 2011, 231-234. [6] Wang Li-quan, Wang Hai-long, Chen Xi, Xu Jun-wei, Ren Meng-xuan, Walking stability analysis of an octopod crab-like robot, Journal of Central South University (Science and Technology), 45(10), 2014, 3416-3422. [7] Vukobratovic M, Frank A, Juricic D, On the Stability of Biped Locomotion, IEEE Transactions on Biomedical Engineering, 17(1),1970, 25-36. [8] Wisse M, Essentials of Dynamic Walking: Analysis and Design of Two-Legged Robots, (Netherlands: Technische Universiteit Delft. 2004.) [9] Dong-Oh Kang, Yun-Jung Lee, Seung-Ha Lee, etc., A study on an adaptive gait for a quadruped walking robot under external forces, Proceedings of the IEEE International Conference on Robotics and Automation, Piscataway, NJ, USA: IEEE, 1997: 2777-2780. [10] S.S. Roy, D.K. Pratihar, Effects of turning gait parameters on energy consumption and stability of a six-legged walking robot, Robotics and Autonomous Systems, 60(1), 2012, 72-82.