A Model Comparison Performance Index for Servo Drive Control

Quellmalz, Johannes; Rehm, Matthias; Schlegel, Holger; Drossel, Welf‐Guntram

doi:10.1007/978-3-319-02294-9_89

Cited by 4 publications

(2 citation statements)

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“…The method does not require any additional sensory and is applicable to state of the art controller systems. Further details are given in [15] and [16].…”

Section: Control Loop Performance Monitoringmentioning

confidence: 99%

Improved Controller Performance for Electromechanical Axes

Schlegel

Hellmich

Hipp

et al. 2016

SSP

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The cascaded position control structure is state of the art in modern production machines and machine tools. Since an adequate controller performance of the electromechanical axes is still a key aspect for a resource efficient and high-quality production, this topic is addressed by the paper. An overall approach/framework to monitor and ensure an improved controller performance over time, comprising five tangible approaches is presented. All methodologies were developed in the department for control and feedback control technologies of the Technische Universitaet Chemnitz. They will be demonstrated and also be discussed based on experimental results.

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“…The method does not require any additional sensory and is applicable to state of the art controller systems. Further details are given in [15] and [16].…”

Section: Control Loop Performance Monitoringmentioning

confidence: 99%

Improved Controller Performance for Electromechanical Axes

Schlegel

Hellmich

Hipp

et al. 2016

SSP

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“…After the commissioning the loops behavior is not monitored further. In younger days, some efforts have been made to close this gap [3,4] and use the loops available signals for further performance measuring. This is different to condition monitoring (known for machine tools) utilizing additional sensors [5].…”

Section: Introductionmentioning

confidence: 99%

Performance Index for Servo Drives under PI Speed Control

Quellmalz

Schlegel

Rehm

et al. 2016

SSP

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The paper points out a minimum variance based performance index for restricted controller structure, known in literature and applied in process industries. The theory is introduced briefly. As core of the paper adaption to the topic of speed control for electromechanical drives is shown. Simulational and experimental results for various single and dual-mass systems show good sensitivity to relevant parameters. As main drawback, the index prefers tough controller settings.

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