Adaptive Suppression of Frequency Varying Disturbances for an Oscillating Steel Plate

Andre Kreuzriegler; Engelbert Grünbacher; Lukas Messner

Adaptive Suppression of Frequency Varying Disturbances for an Oscillating Steel Plate

Andre Kreuzriegler
, Engelbert Grünbacher
, Lukas Messner

Institute for Machine Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Many industrial processes - from continuous casting to combustion engines - are subject to disturbances with periodic or almost periodic characteristics in the sense that the frequency and the amplitude may change with time. A specially interesting case is presented by bodies which can produce or transmit a large range of vibrations. In this paper we discuss the asymptotic suppression of such disturbances using an internal model approach and a frequency estimation algorithm. The effectiveness of the algorithm is demonstrated by its application to a single force oscillating steel plate, an experimental setup which confers the suitability of the approach.

Original language	English
Title of host publication	17th IEEE International Conference on Control Applications (CCA)
Number of pages	6
Publication status	Published - 2008

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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title = "Adaptive Suppression of Frequency Varying Disturbances for an Oscillating Steel Plate",

abstract = "Many industrial processes - from continuous casting to combustion engines - are subject to disturbances with periodic or almost periodic characteristics in the sense that the frequency and the amplitude may change with time. A specially interesting case is presented by bodies which can produce or transmit a large range of vibrations. In this paper we discuss the asymptotic suppression of such disturbances using an internal model approach and a frequency estimation algorithm. The effectiveness of the algorithm is demonstrated by its application to a single force oscillating steel plate, an experimental setup which confers the suitability of the approach.",

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N2 - Many industrial processes - from continuous casting to combustion engines - are subject to disturbances with periodic or almost periodic characteristics in the sense that the frequency and the amplitude may change with time. A specially interesting case is presented by bodies which can produce or transmit a large range of vibrations. In this paper we discuss the asymptotic suppression of such disturbances using an internal model approach and a frequency estimation algorithm. The effectiveness of the algorithm is demonstrated by its application to a single force oscillating steel plate, an experimental setup which confers the suitability of the approach.

AB - Many industrial processes - from continuous casting to combustion engines - are subject to disturbances with periodic or almost periodic characteristics in the sense that the frequency and the amplitude may change with time. A specially interesting case is presented by bodies which can produce or transmit a large range of vibrations. In this paper we discuss the asymptotic suppression of such disturbances using an internal model approach and a frequency estimation algorithm. The effectiveness of the algorithm is demonstrated by its application to a single force oscillating steel plate, an experimental setup which confers the suitability of the approach.

M3 - Conference proceedings

BT - 17th IEEE International Conference on Control Applications (CCA)

ER -