Advanced observation method and device

A technology of subtraction unit and filter, applied in the direction of electric controllers, controllers with specific characteristics, etc., can solve the problems of low efficiency and low ratio of low-order observers
CN109901385AActive Publication Date: 2019-06-18GUANGDONG POWER GRID CO LTD +1
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG POWER GRID CO LTD
Publication Date
2019-06-18

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Abstract

The invention provides an advanced observation method and device. Advanced observation measured time, inertia combination filters, high gain ratio-integral controllers, 1-order inertia filters and a subtraction unit are arranged. An input signal accesses a subtracted input end of the subtraction unit, and the input signal is a process signal requiring advanced observation. An output end of the subtraction unit is connected to the input end of each high gain ratio-integral controller. The output end of each high gain ratio-integral controller is connected to the input end of each inertial combination filter. The output end of each inertial combination filter is connected to a subtraction input end of the subtraction unit, and the output end of each high gain ratio-integral controller is connected to the input end of each 1-order inertial filter. Advanced observation output of the input signal is acquired on the output end of each 1-order inertial filter. An advanced phase peak value ishigh and a ratio of the advanced phase peak value and a gain peak value is high too.
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Description

technical field

[0001] The present application relates to the technical field of automatic control, in particular to an advance observation method and device. Background technique

[0002] The advance information of process response can be obtained by using advanced observation, which is of great significance for improving the performance of process control. There are many forms of advance observation, such as differentiator, inertial inverse model (Inertial inverse model, SOIIM), proportional-differential (Proportion-Differentiation, PD) controller and so on.

[0003] In control practice, there are mainly two types of hysteresis, inertial hysteresis and pure hysteresis. The current advanced observation is mainly for inertial lag, for example, the inertial inverse model can realize advanced observation for inertial lag. In control practice, high-order inertial processes are ubiquitous. Ideally, the high-order inertial inverse model can observe the input of the high-order ...

Claims

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