Industrial Laser Cladding Systems: FPGA-Based Adaptive Control

Rodríguez-Araújo, Jorge; Rodríguez-Andina, Juan J.; Fariña, José; Vidal, F.; Mato, J.L.; Montealegre, M. A.

doi:10.1109/mie.2012.2221356

Cited by 37 publications

(13 citation statements)

References 19 publications

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“…Improved control performance in industrial laser cladding processes has been demonstrated to be achieved by the system presented in [87]. This work proposes an adaptive fuzzy PI controller that works with data extracted from a real-time image processing system (achieving 100Hz sampling rate for 800x600-pixel images).…”

Section: Electronic Instrumentationmentioning

confidence: 99%

Advanced Features and Industrial Applications of FPGAs—A Review

Rodríguez-Andina

Valdes-Pena

Moure

2015

IEEE Trans. Ind. Inf.

147

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research interests include the design of SoC systems based on FPGA, focusing on signal acquisition and conditioning, signal processing, and wireless sensors networks for industrial applications.María J. Moure (M'99) is an Associate Professor at the Department of Electronic Technology, University of Vigo. Her research interests include the design of SoC systems based on FPGA, focusing on signal acquisition and conditioning, signal processing, and wireless sensors networks for industrial applications.

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Section: Electronic Instrumentationmentioning

confidence: 99%

Advanced Features and Industrial Applications of FPGAs—A Review

Rodríguez-Andina

Valdes-Pena

Moure

2015

IEEE Trans. Ind. Inf.

147

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“…The authors in [19] developed a reliable low-complexity reusable digital controller, by using an FPGA implementation. The work in [20] presents an FPGAbased adaptive digital PI controller and emphasizes the advantages provided by FPGAs in the control of complex industrial processes. MPC was addressed for the control of power converters [22] and electric drives [23], FPGA-based solutions showing good control performance [24], [25].…”

Section: A Portable Implementation On Industrial Devices Of a Predictmentioning

confidence: 99%

A Portable Implementation on Industrial Devices of a Predictive Controller Using Graphical Programming

Folea

Moiş

Muresan

et al. 2016

IEEE Trans. Ind. Inf.

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Abstract-This paper presents an approach for developing an extended prediction self-adaptive controller employing graphical programming of industrial standard devices for controlling fast processes. For comparison purposes, the algorithm has been implemented on three different field-programmable gate arrays (FPGAs) chips. This paper presents research aspects regarding graphicalprogramming controller design, showing that a single advanced control application can run on different targets without requiring significant program modifications. Based on the time needed for processing the control signal and on the application, one can efficiently and easily select the most appropriate device. To exemplify the procedure, a conclusive case study is presented.

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“…Some of the applications in the field of electrical systems built around reconfigurable chips include reliable lowcomplexity reusable digital controllers [14], adaptive digital PI controllers [15], communication processors and interfaces, signal processors [16] and many others. Model predictive control was applied to power converters [17] and induction machines [18], papers [19] and [20] showing that solutions implemented in FPGAs offer good control performances.…”

Section: Fpga-based Process Control Applicationsmentioning

confidence: 99%

Implementation of an extended prediction self-adaptive controller using LabVIEW<sup>TM</sup>

Folea

Moiş

Muresan

et al. 2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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-The implementation of the Extended Prediction SelfAdaptive Controller is presented in this paper. It employs LabVIEW TM graphical programming of industrial equipment and it is suitable for controlling fast processes. Three different systems are used for implementing the control algorithm. The research regarding the controller design using graphical programming demonstrates that a single advanced control application can run on Windows, real time operating systems and FPGA targets without requiring significant program modifications. The most appropriate device may be selected according to the required processing time of the control signal and of the application. A relevant case study is used to exemplify the procedure.

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Industrial Laser Cladding Systems: FPGA-Based Adaptive Control

Cited by 37 publications

References 19 publications

Advanced Features and Industrial Applications of FPGAs—A Review

Advanced Features and Industrial Applications of FPGAs—A Review

A Portable Implementation on Industrial Devices of a Predictive Controller Using Graphical Programming

Implementation of an extended prediction self-adaptive controller using LabVIEW<sup>TM</sup>

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