Super-Twisting Algorithm Applied to Velocity Control of DC Motor without Mechanical Sensors Dependence
A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we prop...
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| Other Authors: | , , , , |
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| Format: | Artículo |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://doi.org/10.3390/en13226041 https://www.mdpi.com/journal/energies |
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| Summary: | A DC motor velocity control in feedback systems usually requires a velocity sensor,
which increases the controller cost. Additionally, the velocity sensor used in industrial applications
presents several disadvantages such as maintenance requirements and signal conditioning. In this
work, we propose a robust velocity control scheme applied to a DC motor based on estimation
strategies using a sliding-mode observer. This means that measurements with mechanical sensors are
not required in the controller design. The proposed observer estimates the rotational velocity and load
torque of the motor. The controller design applies the exact-linearization technique combined with
the super-twisting algorithm to achieve robust performance in the closed-loop system. The controller
validation was carried out by experimental tests using a workbench, which is composed of a control
and data acquisition Digital Signal Proccessor board, a DC-DC electronic converter, an interface
board for signals conditioning, and a DC electric generator connected to an adjustable resistive load.
The simulation and experimental results show a significant performance of the proposed control
scheme. During tests, the accuracy, robustness, and speed response on the controller were evaluated
and the experimental results were compared with a classic proportional-integral controller, which uses
a conventional encoder. |
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