Continuous time state estimation method based on Kalman-Bucy filter

Abstract

The invention provides a continuous time state estimation method based on a Kalman-Bucy filter. The continuous time state estimation method is characterized in that a continuous time state equation of a reactive compensation device under the white noise interfering condition is obtained; a process interfering noise matrix and a measurement noise matrix in the continuous time state equation are substituted into a Riccati equation, and gain coefficients of the Kalman-Bucy filter are obtained through the Riccati equation; and the Kalman-Bucy filter is constructed, and a continuous time state estimation value of the reactive compensation device is obtained. By the method, an unbiased estimation value of the reactive compensation device can be obtained, and process noise and measurement noise interference of the reactive compensation device can be effectively filtered; and the method has a better filtering effect compared with the conventional method in which an observer is used and very suitable for electrical equipment such as the reactive compensation device which is complex in electromagnetic interference.

Description

technical field [0001] The invention relates to the design field of a reactive power compensation device control system in the iron and steel metallurgy industry, and specifically belongs to a continuous-time state estimation method for a reactive power compensation device based on Kalman-Busch filtering. Background technique [0002] The TCR reactive power compensation device plays an important role in solving voltage fluctuations and power factor adjustment in the iron and steel metallurgy industry. At present, reactive power compensation devices in engineering applications mostly use PID control structures based on output feedback. Generally speaking, state feedback control is better than output feedback control. Better dynamic and static control performance can be obtained, and the state observer is the basis of state feedback, so designing an excellent state observer becomes the basis of reactive power compensation control system. The traditional observer based on the L...

AI Technical Summary

Problems solved by technology

The traditional observer based on the Lomberg method is only suitable for state observation without filtering, and cannot eliminate the process noise and measurement noise existing in the system, while the filter based on the Kalman-Busch method can not only monitor the state of the system observation, and can filter out random interference signals in the system, so it is very suitable for power electronic systems such as reactive power compensation devices

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