Identifikation dynamischer Systeme 1

Isermann, Rolf

doi:10.1007/978-3-642-84679-3

Cited by 114 publications

(57 citation statements)

References 9 publications

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“…Zumoffen and Basualdo [11] focused on the need for an efficient fault tolerant control on WWTP. The term "fault" is generally defined as "an unpermitted deviation of at least one characteristic property of the system from the acceptable, usual, standard condition" [1]. Nevertheless, the databased approach to fault detection methods can achieve only limited validity, mainly because vast amounts of data are required but not necessarily available in a WWTP.…”

Section: E3s Web Of Conferencesmentioning

confidence: 99%

“…Common know was fault detection and diagnosis (FDD) methods, which was a family of approaches finalized to detection and location of faults on processing systems. The term "fault" is generally defined as "an unpermitted deviation of at least one characteristic property of the system from the acceptable, usual, standard condition" [1]. The main aim of FDD methods consists in determining the type, size and location of the most possible fault, as well as its time of detection in order to improve product quality, plant efficiency, as well as the ability to meet environmental and safety constraints.…”

Section: Introductionmentioning

confidence: 99%

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The use of mathematical models for diagnosis of activated sludge systems in WWTP

Drewnowski

Zmarzły²

2017

E3S Web Conf.

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Abstract. In this study diagnosis of activated sludge systems in wastewater treatment plant (WWTP) was investigated. Diagnosis of technical objects can be realized in many ways. One of the divisions of the diagnostic methods include modelling with or without a model of the object. The first of these is the analysis of the symptoms for which, based on the parameter values, the abnormality in the diagnosed objects are sought. Another way is to use models of objects undergoing diagnosis. In this case, the diagnosis comes down to a comparison of information from the response object model or the estimated parameters of the model with data from the real object. The aim of this study was to evaluate an innovative concept of the possible use the mathematical model and computer simulation in the diagnosis and control of activated sludge systems in WWTP.

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Section: E3s Web Of Conferencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The use of mathematical models for diagnosis of activated sludge systems in WWTP

Drewnowski

Zmarzły²

2017

E3S Web Conf.

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“…As it is very laborious to remove ropes, cabin and counterweight from the traction sheave, a self-tuning algorithm is needed which robustly identifies the machine inertia even with an attached elevator. The most identification schemes are only valid for transfer functions which are time-invariant during the identification process, as otherwise additional techniques have to be applied [4]. Time-invariance in the elevator model requires that the cabin stays at the same position, as then the transfer function changes (see section 2.3).…”

Section: Self-commissioning Of Servo Drivesmentioning

confidence: 99%

Inertia estimation of servo drives with elastically attached masses

Pletschen

Rohr

Kennel³

2012

6th IET International Conference on Power Electronics, Machines and Drives (PEMD 2012)

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Servo drives in elevators are often controlled by a cascaded structure of PI controllers and need well adjusted parameters to achieve high dynamic and precise positioning. As commissioning is time-consuming and needs qualified personnel an automatic bringing into service is desired. For self-commissioning of the speed controller the machine inertia needs to be known and thus an estimation procedure is proposed which requires less computational power and may run on the same microprocessor as the control algorithms. Therefore the elevator structure is exploited and only a few specific frequencies are excited. This avoids using complex techniques which estimates further parameters -resulting in higher computational needs and less robustness. The proposed algorithm has been tested in simulation and shows good and robust results.

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“…Based on the sampling www.cet-journal.com theorem of Nyquist and Shannon, the maximum possible sampling rate is 0.03 h. Because of a recommended time reserve [29,31] and constraints concerning the frequency of the liquid splitter, the chosen sampling rate is set to 0.00125 h here. The suitability of this value is proven in the following.…”

Section: Sampling Ratementioning

confidence: 99%

“…In this respect, it is required to consider the linear process region and the dominant time constants [28,29]. Tab.…”

Section: Identification Of a Linear Modelmentioning

confidence: 99%

Applying Model Predictive Control to Dividing Wall Columns

2011

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The technology of dividing wall columns can offer enormous energy savings compared to common distillation columns and configurations. The technology of model predictive control is also advantageous since such a controller minimizes the future deviation of the predicted controlled variable from the reference point. The practical application of model predictive controllers for dividing wall columns is still limited due to limited experience with high interactions among the process variables. The scope of this work is the development and analysis of a method for the design of model predictive controllers for dividing wall columns. An experimental investigation verifies the practicability of the applied approach. The methods generated are transferable to other applications. Thus, the industrial acceptance of model predictive controllers for dividing wall columns is enhanced.

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Identifikation dynamischer Systeme 1

Cited by 114 publications

References 9 publications

The use of mathematical models for diagnosis of activated sludge systems in WWTP

The use of mathematical models for diagnosis of activated sludge systems in WWTP

Inertia estimation of servo drives with elastically attached masses

Applying Model Predictive Control to Dividing Wall Columns

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