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full Paper - Nguyen Dang Binh

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Figure 22: An example of arm trajectory recorded to derive quantitative<br />

requirements for the actuation system<br />

analyse intrinsically 3D solution, such as the transmission<br />

system described in Subsection 7.1. Moreover, it has been<br />

possible an iterative process of design, by changing the dimensional<br />

parameters of a part in consequence of the results<br />

of the analyses performed on the whole system.<br />

Secondly, a software tool has been developed in order to<br />

evaluate the lowest resonant mode associated to the multi<br />

DOFs, coupled transmission system. Such tool implements<br />

the dynamic model of such type of tendon driven robot.<br />

Finally, a dynamical simulation software application has<br />

been developed to evaluate quantitatively the performance<br />

required to the actuators (see Section 8.1.<br />

8.1. Dynamical simulation tool<br />

The derivation of quantitative requirements for the actuators<br />

has been based on the following specifications:<br />

A the kinematics and dynamics of the device, in terms of<br />

joint variables;<br />

B the transmission structure, in terms of the relationship it<br />

introduces between joint variables and motor variables;<br />

C a description of the arm free movements workspace, in<br />

terms of joint positions, velocities, accelerations during<br />

the expected usage of the device. Since the haptic device<br />

has no repetitive usage, a quite large set of typical operation<br />

has been chosen and arm trajectory acquisition has<br />

been done using infrared markers attached on user arm<br />

(see Figure 22 for an example trajectory).<br />

D a specification of the peak forces the haptic device is requested<br />

to apply on the human arm.<br />

c­ The Eurographics Association 2005.<br />

Massimo Bergamasco / Haptic Interfaces<br />

19<br />

Figure 23: Anthropomorphic haptic device for the upper limb in<br />

reference posture<br />

Given the complexity of the anthropomorphic haptic device,<br />

the first two items have been determined with confidence<br />

only thanks to the adoption of a 3D CAD environment<br />

capable of computing masses and inertia of the complex assemblies<br />

of mechanical parts, which forms the links of the<br />

device.<br />

Items A,B,C and D have been used as inputs to the dynamical<br />

simulation software tool (see the precedent Section)<br />

which solves the inverse dynamic problem along all the arm<br />

trajectories and computes the associated motor trajectories,<br />

under the hypothesis of rigid transmissions. From the motor<br />

trajectories, a set of indexes, such as peak continuous<br />

and rms values of motor torque, velocity, acceleration and<br />

mechanical power output are computed. These values have<br />

been used to select the motors (see Table 3).<br />

9. Design solutions<br />

The device closely follows the human arm from the shoulder<br />

to the palm; it features 7 rotational joints in order to <strong>full</strong>y<br />

preserve the freedom of movement of the user arm (see Figure<br />

23 for an global view).<br />

The choices, already experienced in the Arm Exoskeleton,<br />

of a totally anthropomorphic kinematics and of the usage<br />

of electrical actuation, cable transmission and joint torque<br />

control approach, have been renewed.<br />

The kinematic congruence of the device to the user arm<br />

kinematics is guaranteed by means of a regulation system<br />

for the arm and forearm links. The lengths of the arm link<br />

and the forearm link are continuously adjustable within a<br />

range of 005m and 003m. The adjustments induce no rotation<br />

on the actuators and they can be performed with the<br />

device powered and controlled by a special software.

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