Published: 31 March 2014

Dynamics and kinematics analysis and simulation of lower extremity power-assisted exoskeleton

Yanbei Li1
Lei Yan2
Hua Qian3
Jian Wu4
Sen Men5
Na Li6
1, 2, 3, 4, 5, 6School of Technology, Beijing Forestry University, China
Corresponding Author:
Lei Yan
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Abstract

According to the walking character of lower extremity power-assisted exoskeleton that was designed by our Robotics Laboratory, D-H convention was applied to the kinematics analysis of this exoskeleton model. Lagrangian dynamics was used to analyzing dynamics for the single-foot support model, double-feet support model and double-feet support with one redundancy model respectively. The kinematical equation was obtained and MATLAB was used to verify its validity. Meanwhile, the kinetic equations and torque of each joint were obtained by virtue of ADAMS. Our study provided a theoretical foundation for the control strategies, and optimization design of the mechanical structure and promoted the practical application of this lower extremity power-assisted exoskeleton in further research.

1. Introduction

Lower extremity power-assisted exoskeleton is a kind of robot which is defined as an electromechanical device in overall or a frame that worn by a human operator. The lower extremity power-assisted exoskeleton is developed mainly to help human perform difficult tasks due to either their physical limitations or muscles’ fatigues. In addition, exoskeletons can increase the endurance, traveling speed, and even balance of the wearer in extremely difficult terrains [1]. With the development of science and technology, the research on lower extremity exoskeleton has gradually extended to the field of mechanics, robotics, bionics, control theory, information processing, and communication technology etc.

As early as in 1960s, our pioneers have started to research on the exoskeleton. A master-slave system named the Hardiman was developed by General Electric in 1968. Furthermore some successful and remarkable examples of lower extremity power-assisted exoskeleton such as BLEEX and HAL, were designed for military missions and power enhancement respectively in the 21st century [2].

The Berkeley Lower Extremity Exoskeleton (BLEEX) project funded by the Defense Advanced Research Project Agency (DARPA), USA, was first unveiled in 2004, at the University of California, Berkeley’s Human Engineering and Robotics Laboratory [3]. It was a field-operational robotic system worn by an operator, which could provide the wearer with the ability of undertaking significant loads on the back with minimal effort when negotiating any terrain. BLEEX featured seven DOFs per leg, and the exoskeleton was actuated via bidirectional linear hydraulic cylinders mounted in a triangular configuration with the rotary joints, resulting in an effective moment arm varying with joint angles [4].

Hybrid Assistive Limb (HAL) was successfully developed in Tsukuba University of Japan which was a lightweight power assist device. The latest model, HAL-5, was a full-body suit unit designed to aid people who had degenerated muscles and paraplegics from brain or spinal injuries. It was connected to thighs and shanks of the patient and moved the patient’s legs as a function of the EMG (electromyogram) signals measured from the wearer [4]. Through the use of DC motors integrated with harmonic drives, each leg of HAL-5 powers the flexion/extension motion at the hip and knee in the sagittal plane.

The lower extremity power-assisted exoskeleton system (LEPES) designed by our Robotics Laboratory is a kind of wearable mechanical legs, which contains mechanical systems, sensors and control systems. The mechanical system includes waist, hip, knee, leg and foot. In regardless of complex activities such as jumping and going-upstairs, the main purpose of LEPES is providing power assistance for wearers when they walk hard. Thus, in the aspect of DOFs’ distribution, the LEPES features three DOFs at the hip, one at the knee, and three at the ankle per leg. Of these, two DOFs are actuated by Maxon DC motors: hip flexion/extension and knee flexion/extension in the sagittal plane. The mechanical structure built in our Robotics Laboratory is shown in Fig. 1.

As a wearable biped exoskeleton system, LEPES should be programmed to walk naturally to provide intimacy to human. However, the human gait is a complex dynamic activity. Therefore, in order to get accurate control strategies and conduct the optimization design of mechanical structure, it is very important and necessary to build the dynamic and kinematics model and gain the kinematical and dynamic equation for LEPES.

Fig. 1The lower extremity power-assisted exoskeleton system

The lower extremity power-assisted exoskeleton system

Fig. 2Kinematical model of LEPES

Kinematical model of LEPES

2. Kinematical model of LEPES

The kinematic analysis of LEPES can be facilitated by using the Denavt-Hartenberg (D-H) convention because of its well-established analysis procedures.

In order to simplify the calculation of the kinematical model, the waist (actually the projection of waist in the sagittal plane), the legs and the feet are regarded as the rigid links; the hip, knee and ankle are simplified as the revolute pair in the sagittal plane. Thus, the whole kinematical model is a five-link biped model, and the link frames {0} through {6} of the LEPES can be established, as shown in Fig. 2. Here, frame {0} represents the world reference frame, where x0 is horizontal axis, y0 is vertical axis and z0 is perpendicular to the surface with the outward direction as the positive direction.

Based on the D-H rules and the five-link biped model, parameters of LEPES can be deduced as shown in Table 1. It should be noted that the parameters in Table 1 can be selected in different ways because the D-H notation is not unique.

According to the D-H convention, D-H homogeneous matrix representation is used to describe the spatial displacement between neighboring link coordinate frames to obtain the information related to kinematics of each link [5].

Assuming Mi i-1 is the homogeneous transformation matrix describing the relative translation and rotation between li-1 and li coordinate systems, then we can obtain:

1
M 01=cθ1-sθ100sθ1cθ10000100001,
2
M 12=cθ2-sθ20l1sθ2cθ20000100001,
3
M 23=cθ3-sθ30l2sθ3cθ30000100001,
4
M 34=cθ4-sθ40l3sθ4cθ40000100001,
5
M 45=cθ5-sθ50l4sθ5cθ50000100001,
6
M 56=cθ6-sθ60l5sθ6cθ60000100001,

where sin and cos are represented by s and c, respectively.

Table 1D-H parameters for LEPES

i
li-1
αi-1
di-1
θi-1
qi
0
0
0
0
θ1
θ1
1
l1
0
0
θ2
θ2
2
l2
0
0
θ3
θ3
3
l3
0
0
θ4
θ3
4
l4
0
0
θ5
θ5
5
l5
0
0
θ6
θ6
Note: i is the link number,
li-1 is the distance between zi-1 and zi along xi,
αi-1 is the angle between zi-1 and zi about xi,
di-1 is the distance between xi-1 and xi along zi-1,
θi is the angle between xi-1 and xi about zi-1,
qi is the joint variable about li.

Thus, the ankle reference frame {6} can be expressed in the world reference frame {0}, as given in Eq. (7):

7
M 06=M 01M 12M 23M 34M 45M 56=cj=16θj-sj=16θj0l5cj=15θj+l4cj=14θj+l3cj=13θj+l2cj=12θj+l1cθ1sj=16θjcj=16θj0l5sj=15θj+l4sj=14θj+l3sj=13θj+l2sj=12θj+l1sθ100100001.

According to D-H convention, Eq. (7) can be transformed as follows:

8
nxoxaxpxnyoyaypynzozazpz0001=cj=16θj-sj=16θj0l5cj=15θj+l4cj=14θj+l3cj=13θj+l2cj=12θj+l1cθ1sj=16θjcj=16θj0l5sj=15θj+l4sj=14θj+l3sj=13θj+l2sj=12θj+l1sθ100100001.

Thus, the position of the ankle p6 0 can be determined as Eq. (9) with respect to the world reference frame {0}:

9
p 06=l5cj=15θj+l4cj=14θj+l3cj=13θj+l2cj=12θj+l1cθ1l5sj=15θj+l4sj=14θj+l3sj=13θj+l2sj=12θj+l1sθ10.

The posture of the ankle R6 0 can be determined as Eq. (10):

10
R 06=cj=16θj-sj=16θj0sj=16θjcj=16θj0001.

3. Dynamic models of LEPES

A human walking gait cycle can be divided into three gait patterns [6]: the single-foot support model(one foot stance, the other swing), double-feet support model(double feet whole stance) and double-feet support with one redundancy model(one foot whole stance while the heel or the toes of the other kicks the ground).

Since the force and the position of center of mass for each leg and each joint are different in each gait pattern, this paper decides to use Lagrangian method to analyze the three gait patterns respectively.

In order to simplify the calculation of the dynamic model, the waist (actually the projection of waist in the sagittal plane), the legs and the feet are regarded as the rigid links; the hip, knee and ankle is simplified as the revolute pair in the sagittal plane.

3.1. The double-feet support model

The double-feet support dynamic model of LEPES is illustrated in Fig. 3, where αi stands for the distance between the center of mass of link i and the ends of link i; θi represents the angle between link i and link i-1; li is the length of each link; and mi is the mass of each link i, i=1,2,…,6; B1 and B2 represent the DC motors of knee, F1 and F2 stands for the DC motors of hip. Coordinate system {xoy} is the world reference frame.

Thus, Gi(xi,yi) (the center of mass of link i) can be obtained according to the geometric relationships in Fig. 3:

11
x0=a0,x1=a1sθ1,x2=l1sθ1+a2sθ1-θ2,x3=l1sθ1+l2sθ1-θ2+a3sθ3-θ1+θ2,x4=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+a4sθ3-θ1+θ2-θ4,x5=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2++l4s(θ3-θ1+θ2-θ4)+a5s(θ3-θ1+θ2-θ4-θ5),x6=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2++l4s(θ3-θ1+θ2-θ4)+l5s(θ3-θ1+θ2-θ4-θ5)+a6,
12
y0=0,y1=a1cθ1,y2=l1cθ1+a2cθ1-θ2,y3=l1cθ1+l2cθ1-θ2-a3cθ3-θ1+θ2,y4=l4cθ3-θ1+θ2-θ4-a4cθ3-θ1+θ2-θ4+l5cθ3-θ1+θ2-θ4-θ5,y5=l5c(θ3-θ1+θ2-θ4-θ5)-a5c(θ3-θ1+θ2-θ4-θ5),y6=0.

The coordinate of each actuated motor Di(xi,yi) is:

13
xB1=l1sθ1,xF1=l1sθ1+l2sθ1-θ2,xF2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2,xB2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4,
14
yB1=l1cθ1,yF1=l1cθ1+l2cθ1-θ2,yF2=l4c(θ3-θ1+θ2-θ4)+l5c(θ3-θ1+θ2-θ4-θ5),yB2=l5cθ3-θ1+θ2-θ4-θ5.

Fig. 3The double-feet support model

The double-feet support model

Fig. 4The double-feet support with one redundancy (toes of one foot kicking the ground)

The double-feet support with one redundancy (toes of one foot kicking the ground)

3.2. The double-feet support with one redundancy model

As mentioned above, there are two situations of the double-feet support with one redundancy model, and this study just analyzes the model that one foot whole stances while the toes of the other kick the ground because of the same theories, as shown in Fig. 4.

αi stands for the distance between the center of mass of link i and the ends of link i; θi represents the angle between link i and link i-1; li is the length of each link; mi is the mass of each link i, i= 1, 2,…, 6; B1 and B2 represent the DC motors of knee, F1 and F2 stands for the DC motors of hip. Coordinate system {xoy} is the world reference frame.

Therefore, Gi(xi,yi) (the center of mass of link i) can be obtained according to the geometric relationships:

15
x0=l0sθ0-a0sθ0,x1=a1sθ1,x2=l1sθ1+a2sθ1-θ2,x3=l1sθ1+l2sθ1-θ2+a3sθ3-θ1+θ2,x4=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+a4sθ3-θ1+θ2-θ4,x5=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4++a5s(θ3-θ1+θ2-θ4-θ5),x6=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4++l5s(θ3-θ1+θ2-θ4-θ5)+a6,
16
y0=a0cθ0,y1=a1cθ1+l0cθ0,y2=l1cθ1+a2cθ1-θ2+l0cθ0,y3=l1cθ1+l2cθ1-θ2-a3cθ3-θ1+θ2+l0cθ0,y4=l4cθ3-θ1+θ2-θ4-a4cθ3-θ1+θ2-θ4+l5cθ3-θ1+θ2-θ4-θ5,y5=l5cθ3-θ1+θ2-θ4-θ5-a5cθ3-θ1+θ2-θ4-θ5,y6=0.

The coordinate of each actuated motor Di(xi,yi) is:

17
xB1=l1sθ,xF1=l1sθ1+l2sθ1-θ2,xF2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2,xB2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4,
18
yB1=l1cθ1+l0cθ0,yF1=l1cθ1+l2cθ1-θ2+l0cθ0,yF2=l4cθ3-θ1+θ2-θ4+l5cθ3-θ1+θ2-θ4-θ5,yB2=l5cθ3-θ1+θ2-θ4-θ5.

3.3. The single-foot support model

Fig. 5 shows the single-foot support dynamic model of LEPES. αi stands for the distance between the center of mass of link i and the ends of link i; θi represents the angle between link i and link i-1; li is the length of each link; mi is the mass of each link i, i= 1, 2,…, 6; B1 and B2 represent the DC motors of knee, F1 and F2 stands for the DC motors of hip. Coordinate system {xoy} is the world reference frame.

Thus, Gi(xi,yi) (the center of mass of link i) can be obtained according to the geometric relationships:

19
x0=l0sθ0-a0sθ0,x1=a1sθ1,x2=l1sθ1+a2sθ1-θ2,x3=l1sθ1+l2sθ1-θ2+a3sθ3-θ1+θ2,x4=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+a4sθ3-θ1+θ2-θ4,x5=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4++a5s(θ3-θ1+θ2-θ4-θ5),x6=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4++l5s(θ3-θ1+θ2-θ4-θ5)+a6,
20
y0=a0cθ0+h,y1=a1cθ1+l0cθ0+h,y2=l1cθ1+a2cθ1-θ2+l0cθ0+h,y3=l1cθ1+l2cθ1-θ2-a3cθ3-θ1+θ2+l0cθ0+h,y4=l4cθ3-θ1+θ2-θ4-a4cθ3-θ1+θ2-θ4+l5cθ3-θ1+θ2-θ4-θ5,y5=l5cθ3-θ1+θ2-θ4-θ5-a5cθ3-θ1+θ2-θ4-θ5,y6=0.

Fig. 5The single-foot support model

The single-foot support model

The coordinate of each actuated motor Di(xi,yi) is:

21
xB1=l1sθ,xF1=l1sθ1+l2sθ1-θ2,xF2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2,xB2=l1sθ1+l2sθ1-θ2+l3sθ3-θ1+θ2+l4sθ3-θ1+θ2-θ4,
22
yB1=l1cθ1+l0cθ0+h,yF1=l1cθ1+l2cθ1-θ2+l0cθ0+h,yF2=l4cθ3-θ1+θ2-θ4+l5cθ3-θ1+θ2-θ4-θ5,yB2=l5cθ3-θ1+θ2-θ4-θ5.

3.4. The equation of Lagrangian dynamics

According to the method of Lagrangian dynamics, the Lagrangian function is defined as the difference of the system between kinetic energy EK and potential energy EP, i.e.:

23
L=EK-EP.

The equation of Largrangian dynamics can be obtained according to Eq. (23), as shown in Eq. (24):

24
Qj=ddtLq˙j-Lqj, j=0,1,...,n,

where n is number of generalized coordinate system, qi represents the generalized coordinate, q˙j stands for the generalized velocity, Qj is the generalized force or generalized torque applied to the jth coordinate.

The total kinetic energy of drive motors in each dynamics model of LEPES is:

25
EI=12IB1q˙B12+IB2q˙B22+IF1q˙F12+IF2q˙F22,

where q˙B12=x˙B12+y˙B12, q˙B22=x˙B22+y˙B22, q˙F12=x˙F12+y˙F12, q˙F22=x˙F22+y˙F22; and IB1, IB2, IF1, IF2 is equivalent moment of inertia of each motor respectively in generalized coordinate system.

The total kinetic energy of links in each dynamic model of LEPES can be calculated as follows:

26
EK=i=06EKi,

where EKi=12mivi2, vi2=x˙i2+y˙i2, i=0,1,...,6, mi is equivalent mass of each links, vi stands for the velocity of each link in the generalized coordinate.

Thus, the total kinetic energy of each dynamic model of LEPES can be obtained, in accordance with the Eq. (25) and Eq. (26):

27
EKI=EK+EI=12i=06mix˙i2+y˙i2+IB1q˙B12+IB2q˙B22+IF1q˙F12+IF2q˙F22.

The total potential energy of each dynamic model of LEPES is:

28
EP=i=06EPi,

where EPi=migyi, g is the component of acceleration of gravity along y-axis.

The Lagrangian function for each dynamic model can be expressed as below, based on the Eq. (27) and Eq. (28):

29
L=EKI-EP=12i=06mix˙i2+y˙i2+IB1q˙B12+IB2q˙B22+IF1q˙F12+IF2q˙F22-i=06migyi.

Therefore, according to Eq. (24) and Eq. (29), the Lagrange equation of each dynamic model in the jth generalized coordinate can be obtained:

30
Qj=ddtLθ˙j-Lθj.

Finally, the entire kinetic equation of each dynamics model can be expressed as:

31
Q=[Q0Q1Q2Q3Q4Q5]T.

In accordance with the Eq. (31), in the double-feet support model, Q0 and Q5 represented the actuated torque of ankles, Q1 and Q4 stand for the actuated torque of knees, Q2 and Q3 are the actuated torque of hips. In the double-feet support with one redundancy model, Q0 and Q5 represent the actuated torque of ankle that the toes kicking ground and the ankle which the whole foot supporting ground respectively, Q1 and Q4 stand for the actuated torque of knee that the toes kicking ground and the knee which the whole foot supporting ground respectively, Q2 and Q3 are the actuated torque of hip that the toes kicking ground and the hip which the whole foot supporting ground respectively. In single-foot support model, Q0 and Q5 represent as the actuated torque of ankle that the foot swing and the ankle which the foot supporting ground respectively, Q1 and Q4 stand for the actuated torque of knee that the foot swing and the knee which the foot supporting ground respectively, Q2 and Q3 are the actuated torque of hip that the foot swing and the hip which the foot supporting ground respectively.

4. Simulations verification

In this Section, MATLAB and ADAMS are used to verify the accuracy of D-H equation of kinematics and Lagrange equation of dynamics respectively.

According to the design principles of exoskeleton mentioned in literature [7], this paper assumes the kinematical parameters of LEPES as listed in Table 2.

Theoretically, according to Eq. (7), the homogeneous transformation matrix can be obtained using the parameters in Table 2:

32
M 06=0.87-0.500 759.820.500.870119.9800100001.

By virtue of MATLAB, the simulation result of the LEPES’s kinematics model is consistent with the theoretical result, as illustrated in Fig. 6.

Fig. 6. The simulation result of kinematics model by MATLAB

As for the simulation of the dynamic model of LEPES, in order to get the accurate result of dynamics simulation, the data of human gait mentioned in literature [8] and ADAMS are used. Fig. 7 shows the virtual prototype of the LEPES’s dynamic model built by ADAMS, and the torques of actuated motors can be obtained by the simulation, as shown in Fig. 8.

Table 2The given kinematical parameters of LEPES

Link
Length
Joint variable
Angle
l1
420 mm
q1
-π4
l2
419 mm
q2
-π6
l3
200 mm
q3
π2
l4
419mm
q4
π4
l5
420 mm
q5
π6
q6
-π3

According to Fig. 8, the motor torque of the hip joint is the largest, while the torque of ankle is the smallest. Thus, there is no need to set motors to drive the ankles; instead, the DOFs of ankles can be regarded as the assistant DOFs when designing the structure.

Fig. 7The virtual prototype of LEPES’s dynamics model

The virtual prototype of LEPES’s dynamics model

Fig. 8The simulation result of dynamic model of LEPES

The simulation result of dynamic model of LEPES

a)

The simulation result of dynamic model of LEPES

b)

The simulation result of dynamic model of LEPES

c)

The simulation result of dynamic model of LEPES

d)

The simulation result of dynamic model of LEPES

e)

The simulation result of dynamic model of LEPES

f)

5. Conclusions

In conclusion, from kinematical views of the lower extremity power-assisted exoskeleton system which is designed by our Robotic Laboratory, this paper described the kinematical characteristics of the lower extremity power-assisted exoskeleton system (LEPES) via Denavt-Hartenberg (D-H) convention, and the homogeneous transformation matrix that could describe the position and posture of the kinematical model of LEPES was obtained. Thus, the precise position and gesture of the end ankle could be obtained according to the kinematical equation and the θi (i=1, 2,..., 6) given by the further researches which put forward an improved control strategies. Therefore, this research on kinematics provided a significant theoretical basis for the further study on control strategies and control algorithm of the actuated motors.

In addition, as for the dynamic analysis, Largrangian dynamics was applied to get the kinetic equations of the three dynamic models of LEPES. And the kinetic equation of each model is obtained. According to the Largrangian dynamics of LEPES, the theoretical torque of each motor in each model could be calculated, which was helpful to choosing the drive motors of LEPES and optimizing the whole structure. Therefore, this research on dynamics provided an essential theoretical basis for the motor selection and the optimization design of mechanical structure.

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About this article

Received
13 November 2013
Accepted
23 January 2014
Published
31 March 2014
Keywords
lower exoskeleton
dynamic
kinematics
simulation
Acknowledgements

This research was financially supported by the Fundamental Research Funds for the Central Universities (TD2013-3). The authors also appreciate very much the comments and suggestions from anonymous reviewers and the editors.