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About the possibility of the software-based filtration for noisy signals of the actual location sensor

Meleshkin K. N.  (Postgraduate student, Novosibirsk State Technical University (NSTU))

Khudiakov D. S.  (Ph.D., Associate Professor, Novosibirsk State Technical University (NSTU))

In this paper the possibilities of using different software-based filters during the operation on implemented test-bench cyclically unstable system of the "ball on a rod" type is discussed. It is proposed to use a special infrared distance sensor of the Sharp 2Y0A2 type to measure the distance from the ball to the center of the rod strictly in one plane. The output signal of the sensor contains both constant noise and a random component, therefore filtering of the measured values is necessary for the normal operation of the stabilization system. It is shown that the Kalman filter provides the best filtration quality of measurement noise in this situation.

Keywords:Distance sensor, measurement noise, software filter, pendulum systems, Kalman filter.
 

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Citation link:
Meleshkin K. N., Khudiakov D. S. About the possibility of the software-based filtration for noisy signals of the actual location sensor // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№06/2. -С. 113-118 DOI 10.37882/2223-2966.2022.06-2.24
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