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Method, controller, and computer program product for reducing oscillations in technical system

A technology of computer programs and technical systems, applied in the direction of general control systems, calculations, calculation models, etc., can solve problems such as difficult to reduce oscillation modes and complexity, and achieve the effect of optimal control

Pending Publication Date: 2020-06-30
SIEMENS AG
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Problems solved by technology

In many cases, however, the complexity of such control strategies results in complex oscillatory modes that are difficult to reduce or detect

Method used

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  • Method, controller, and computer program product for reducing oscillations in technical system
  • Method, controller, and computer program product for reducing oscillations in technical system

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Embodiment Construction

[0022] figure 1 A machine learning module LRN for training a control model CM for a technical system GT is illustrated in a schematic representation. In this embodiment, the technical system GT is a gas turbine. Alternatively or additionally, the technical system GT may comprise wind turbines, combustion engines, production plants, 3D printers and / or power grids.

[0023] The gas turbine GT has one or more sensors SE which measure and provide operating data OP of the gas turbine GT. Such operational data OD may include sensor data, physical data (e.g. temperature, pressure, entropy, voltage or current values), chemical data, control data, performance data, status data, condition data, measurement data, environmental data, forecast data , simulated operating data, default data or specify the status or properties of the technical system GT or other data generated by or about the technical system GT. Besides, the operating data OD can be obtained from other sources, such as co...

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Abstract

For reducing oscillations in a technical system (GT) a plurality of different controller settings (CP) for the technical system (GT) is received. For a respective controller setting (CP) a signal (SG)representing a time series of operational data of the technical system controlled by the respective controller setting (CP) is received, the signal (SG) is processed, whereby the processing comprisesa transformation into a frequency domain, and an entropy value (S) of the processed signal (PSG) is determined. Depending on the determined entropy values (S) a controller setting (SCP) from the plurality of controller settings (CP) is selected, and the selected controller setting (SCP) is output for configuring the technical system (GT).

Description

Background technique [0001] Complex technical systems, such as gas turbines, wind turbines, internal combustion engines, production plants, 3D printers or power grids, often require complex control countermeasures or control strategies in order to operate the technical system within a productive and stable operating range. In many cases, complex dynamic interactions between various components of a technical system and / or their controllers cause oscillations in the technical system. However, such oscillations generally impair the efficiency of the technical system and / or increase its wear. [0002] Contemporary controllers for complex technical systems often utilize machine learning methods based, for example, on artificial neural networks. Such machine learning methods are often able to model complex dynamic behavior and provide efficient control strategies for controlling technical systems. In many cases, however, the complexity of such control strategies results in complex...

Claims

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Application Information

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IPC IPC(8): G05B5/01
CPCG05B5/01G06N20/00G06N3/08
Inventor S.迪尔K.黑舍G.辛格M.C.韦伯
Owner SIEMENS AG
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