Design and Simulation of Servo System of Based on Kalman Filter

Min Tao; Xin Rong Wang; Gui Ping Zhang

doi:10.4028/www.scientific.net/AMR.787.532

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 787Design and Simulation of Servo System of Based on...

Design and Simulation of Servo System of Based on Kalman Filter

Abstract:

In order to enhance metrical precision of radar on the vessel, Kalman filter based on Singer model is designed to filter angle-error signals in servo system of the radar in this paper. Precision of angle-error signal in the servo system is a key factor influencing precision of tracking and control. But it inevitably corrupted by external disturbances and internal noise during transmission and detection. Kalman filter, which is a kind of linear minimum variance estimation, can estimate state vector at any time when a parameter variable changing with time (state vector) and a linear model (system model) are provided. Therefore, its extremely suitable for filtering the angle-error signals in servo system. Experiments on practical signal show that Kalman filter can reduce noise of the angle-error signals effectively and hence enhancing metrical precision of the radar.

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Periodical:

Advanced Materials Research (Volume 787)

Pages:

532-537

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.787.532

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Online since:

September 2013

Authors:

Min Tao, Xin Rong Wang, Gui Ping Zhang

Keywords:

Angle-Error Signal, Kalman Filter (KF), Servo System

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DOI: 10.1109/taes.1970.310128

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