Alexander Tuzikov
Publications:
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Balandin D. V., Tuzikov A. M., Biryukov R. S., Polovinkin A. V.
Abstract
Spherical robots are a type of robots that have a spherical shape, allowing them to move by
rolling. The drive for this category of robots can be implemented in various ways. This paper
proposes the use of a new electromagnetic drive for this type of robot, resembling a spherical
motor in structure. It includes permanent magnets and electromagnets, and the robot’s motion
is achieved through electromagnetic interaction between them.
The main goal of this work is to substantiate the fundamental possibility of controlling the
motion of a spherical robot using an electromagnetic drive. To this end, first, a mathematical
model of the quasi-stationary electromagnetic interaction of magnets placed on different moving
shells was constructed. Second, based on this model, the dependence of the torque acting
on the inner spherical shell of the robot on the angular displacement between the permanent
magnet and the electromagnet was derived; using this dependence, the parameters of an effective
configuration of the spherical robot with electromagnetic drive were calculated, along
with the energy-optimal distribution of currents in the electromagnets. Third, using Kirchhoff’s
equations, as well as results from previous works on optimal control of the motion of a spherical
robot with a mechanical drive, equations for currents and voltages were derived that enable the
implementation of optimal motion of the spherical robot on an uneven surface without slipping.
Finally, the motions of the spherical robot on flat and bell-shaped surfaces were considered, and
the dependences of currents and voltages in the electromagnets necessary for implementing the
specified motions were obtained, containing information on the dynamic and frequency ranges
of the control signals supplied to the electromagnets.
To track the trajectory of the spherical robot’s motion, a regulator based on linearization of
the robot’s dynamics equations near the reference trajectory was used. To suppress disturbances
and minimize deviations, a regulator based on the generalized $H_2$-norm was applied.
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