Mechanisms to Handle Structural Variability in MATLAB/Simulink Models

Leitner, Andrea; Ebner, Wolfgang; Kreiner, Christian

doi:10.1007/978-3-642-38977-1_2

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The presented three-layer structure ensures the variability of components and models as well, similarly to [10]. Variability means that libraries in the first and second layers might be changed or replaced by alternate versions.…”

Section: Derivation Of the Three-layer Model Architecturementioning

confidence: 99%

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Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

Horvath

Kuslits²,

Lovas

2020

Electr Eng

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This paper presents a new control algorithm development approach for induction machines by using model-based design and a systematically built model architecture implemented in MATLAB/Simulink. The model architecture follows a threelayer structure, and it is developed according to the principle of functional decomposition and the needs of reusability and expandability. The first model layer consists of elementary model and algorithm components, the second contains a machine simulation model and a field-oriented control (FOC) algorithm, built upon the first layer's components, and the third realises the executable models by connecting the models and algorithms defined in the second layer. Furthermore, rapid control prototyping (RCP) is discussed as an experimental validation method, and an experimental setup with RCP is also introduced. The application of the presented methods is demonstrated by simulations as well as by experiments, and by using a control algorithm based on FOC as an example. KeywordsInduction machine · Control algorithm development · Field-oriented control (FOC) · Model-based design (MBD) · Modular architecture · Rapid control prototyping (RCP) · MATLAB/Simulink Abbreviations DRFOC Direct rotor field-oriented control DSC Direct self-control DTC Direct torque control ECU Electronic control unit FOC Field-oriented control HIL Hardware-in-the-loop MBD Model-based design NIC Network interface control PMSM Permanent magnet synchronous machine PWM Pulse width modulation RCP Rapid control prototyping SRTT Simulink Real-Time target TI Texas instruments UI User interface List of symbols i ds d-Axis stator current (A) T l Load torque (Nm) p Number of pole pairs J Rotor inertia (kg m 2 ) D Viscous friction coefficient (Nm s/rad) T 0 Static friction (Nm)

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Section: Derivation Of the Three-layer Model Architecturementioning

confidence: 99%

“…However, the usage of these features is spontaneous rather than systematic. In paper [10], component variability and reusability concepts in MATLAB/Simulink environment are discussed.…”

Section: Introductionmentioning

confidence: 99%

Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

Horvath

Kuslits²,

Lovas

2020

Electr Eng

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“…The Simulink internal implementation isn't different to the CME-concept. [8] presents a concept for modeling variability in Simulink based on a 3 layered template approach. The concept enhances the usability of existing Simulink variability mechanisms by adding another layer of abstraction.…”

Section: Related Workmentioning

confidence: 99%

“…It is very similar to the MEMA concept but adds a special input and output signal processing to cope with interface changes. We decided to not include [8] and [4] in our study as both are similar to the MEMA concept and because there was no implementation of the concepts available to us.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Variability Concepts for Simulink in the Automotive Domain

Kolassa

Rendel²,

Rumpe³

2015

2015 48th Hawaii International Conference on System Sciences

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“…Effective code clone detection will support perfective maintenance. Up to the present, several code clone detection methods have been proposed (Petersen 2012;Al-Batran 2011;Leitner et al 2013). Comparison and evaluation of code clone detection techniques and tools have been carried out by (Bellon and Koschke 2014;Bellon et al 2007) and (Roy and Cordy 2007;Roy et al 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Method-level code clone detection through LWH (Light Weight Hybrid) approach

Kodhai

Kanmani

2014

J Softw Eng Res Dev

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Background: Many researchers have investigated different techniques to automatically detect duplicate code in programs exceeding thousand lines of code. These techniques have limitations in finding either the structural or functional clones. Methods:We propose a LWH (Light Weight Hybrid) approach combining textual analysis and metrics for the detection of method-level syntactic and semantic clones in C and Java projects. This approach has been experimenting for the detection of all four types of clones by a specific set of metrics assessment and textual comparison. A tool named CloneManager has been developed in Java to support the experiments carried out and to validate the proposed approach. Results: A benchmark dataset widely referred in the literature and medium to large size open-source projects developed in C or Java. Java is used for the experiments. Conclusions:The results show that the proposed approach is able to detect all four types of clones accurately with the precision and recall values ranging from 88% to 100%.

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Mechanisms to Handle Structural Variability in MATLAB/Simulink Models

Cited by 7 publications

References 17 publications

Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

Evaluation of Variability Concepts for Simulink in the Automotive Domain

Method-level code clone detection through LWH (Light Weight Hybrid) approach

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