Page 200 - Handbook of Biomechatronics
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Upper-Limb Prosthetic Devices                                197


              (bidirectional interface with the brain), and (b) the low-level, which ensures
              that these commands are followed with the required accuracy.
                 Although actuation adds the capability for motion and force application,
              a low-level control system is needed to interpret feedback signals and send
              appropriate currents to motors so as to achieve the desired motion, or apply
              the desired force to the environment. In a sense, the control system is
              required to recreate a force-velocity relationship for the prosthesis similar
              to that of the missing limb; then the prosthesis is “transparent” and felt as
              an extension of the patient’s body.
                 To develop a control system, one needs to have some knowledge of the
              dynamics of the system to be controlled. As this has many-DoF and is
              described by nonlinear equations of motion, the control system should be
              nonlinear, too, making its design more involved that for single-DoF linear
              systems. Prostheses have much in common with robotic arms and exoskel-
              etons (Proietti et al., 2016), therefore control strategies that apply to them
              can be classified as position control, force control, and interaction control.
                 In position control, the aim is to ensure that all controlled variables, usu-
              ally joint angles or displacements, achieve their commanded value at the
              right time. This must be achieved in the presence of friction, gravity, and
              even external disturbances, such as loads or impacts, and requires position
              sensors such as encoders or potentiometers. A large number of control
              schemes exist such as PID, model-based, LQR, adaptive, etc., (Bhuiyan
              et al., 2015). However, this type of control is only appropriate when the
              limb moves in free space.
                 In force control, the aim is to have the limb apply a desired force or
              moment to the environment, as for example, when using a hand tool, such
              as a drill. This type of control requires a force sensor, so that the applied force
              is available for feedback reasons and appropriate correction by the controller.
              As it is not possible to control simultaneously the velocity and the force of
              any body, position, and force controllers are incompatible. To have them
              both, switching between the two modes would be required. Even then, a
              delay in switching from position to force control can have undesired effects
              on the prosthetic and the patient itself.
                 This problem is addressed by impedance control (Hogan, 1985) and its
              variants (Calanca et al., 2016), where the aim is to control the relationship
              between velocity and force, without any switching of controllers. Although
              this is quite appealing for prostheses applications, the tuning of the control
              gains is not easy and usually it is task dependent. Recently Variable imped-
              ance actuators were introduced, where the controller takes into account the
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