This paper reviews the state of the art of field- programmable gate array (FPGA) design methodologies with a focus on industrial control system applications. This paper starts with an overview of FPGA technology development, followed by a presentation of design methodologies, development tools and relevant CAD environments, including the use of portable hardware description languages and system level programming/design tools. They enable a holistic functional approach with the major advantage of setting up a unique modeling and evaluation environment for complete industrial electronics systems. Three main design rules are then presented. These are algorithm refinement, modularity, and systematic search for the best compromise between the control performance and the architectural constraints. An overview of contributions and limits of FPGAs is also given, followed by a short survey of FPGA-based intelligent controllers for modern industrial systems. Finally, two complete and timely case studies are presented to illustrate the benefits of an FPGA implementation when using the proposed system modeling and design methodology. These consist of the direct torque control for induction motor drives and the control of a diesel-driven synchronous stand-alone generator with the help of fuzzy logic.

/pdf/fpga-design-methodology-for-industrial-control-systems-a-2kzb7fwd0q.pdf

FPGA Design Methodology for Industrial Control Systems—A Review

The aim of this paper is to present the interest of implementing digital controllers using field-programmable gate array (FPGA) components. To this purpose, a variety of current control techniques, which is applied to alternating current machine drives, is designed and implemented. They consist of on-off current controllers, proportional-integral current controller, and predictive current controller. The quality of the regulated current is significantly improved. It is mainly due to a very important reduction of the execution time delay. Indeed, in all described techniques, the execution time of the designed hardware architectures is only a few microseconds. This time reduction derives directly from the possibility offered by FPGAs to design very powerful dedicated architectures. Numerous experimental results are given in order to illustrate the efficiency of FPGA-based solutions to achieve high-performance control of electrical systems.

FPGA-Based Current Controllers for AC Machine Drives—A Review

neural and fuzzy logic control of drives and power systems neural and fuzzy logic control of drives and power systems neural and fuzzy logic control of drives and power systems neural and fuzzy logic control of drives and power systems neural and fuzzy logic control of drives power systems neural and fuzzy logic control of drives and power systems neural and fuzzy logic control of drives and power systems chapter 8 fuzzy logic and neural network applications in fuzzy logic applications to power electronics and drives expert system, fuzzy logic, and neural network speed control of dc motor using fuzzy logic technique dynamic fuzzy-neural network controller for induction neural and fuzzy logic control of drives and power systems advanced fuzzy systems design and applications khbd adaptive neural fuzzy inference systems controller for induction motor drive using fuzzy logic citeseerx embedded fuzzy controller for industrial applications direct torque control of induction motor using fuzzy logic application of learning methodologies in control of power fuzzy logic application for intelligent control of a speed control of dc motor using fuzzy pid controller application of fuzzy logic in engineering problems lnai 3949 dsp based fuzzy-neural speed tracking control a servo motor drives based on hybrid genetic algorithm gvpce(a ) m.tech. power electronics & drives 2013 neural fuzzy rule – based model reference adaptive control for artificial neural network and logic control for hvdc systems fuzzy logic control of maximum power point tracking for controlling speed of dc motor with fuzzy controller in speed control of brushless dc motor using fuzzy ijdacr design and performance evaluation of a fuzzy-logic-based maximum power point tracking of pv system using anfis power electronics and motor drives elsevier

/pdf/neural-and-fuzzy-logic-control-of-drives-and-power-systems-2gnm35onla.pdf

Neural and Fuzzy Logic Control of Drives and Power Systems

In this paper, an efficient and reliable neural active power filter (APF) to estimate and compensate for harmonic distortions from an AC line is proposed. The proposed filter is completely based on Adaline neural networks which are organized in different independent blocks. We introduce a neural method based on Adalines for the online extraction of the voltage components to recover a balanced and equilibrated voltage system, and three different methods for harmonic filtering. These three methods efficiently separate the fundamental harmonic from the distortion harmonics of the measured currents. According to either the Instantaneous Power Theory or to the Fourier series analysis of the currents, each of these methods are based on a specific decomposition. The original decomposition of the currents or of the powers then allows defining the architecture and the inputs of Adaline neural networks. Different learning schemes are then used to control the inverter to inject elaborated reference currents in the power system. Results obtained by simulation and their real-time validation in experiments are presented to compare the compensation methods. By their learning capabilities, artificial neural networks are able to take into account time-varying parameters, and thus appreciably improve the performance of traditional compensating methods. The effectiveness of the algorithms is demonstrated in their application to harmonics compensation in power systems

A Unified Artificial Neural Network Architecture for Active Power Filters

This article presents the benefits of using field-programmable gate array (FPGA)-based controllers for power electronics and drive applications. For this purpose, an algorithm perspective is first proposed, where it is stated that, depending on the intrinsic parallelism properties as well as level of complexity, it makes sense to implement each control algorithm on a specific hardware and/or software architecture to get the best performances in terms of execution time or the best ratio performance versus cost. Then, an application perspective is proposed where the constraints specifically linked to the control of power converters are discussed.

FPGA-based Controllers

Latest developments in digital intelligent motion, as digital signal processors (DSPs), has strongly improved AC motor control performances. Application-specific-integrated circuit (ASIC) technology has changed the need for rapid process and low-cost processor. However, new technological problems appeared, requiring digital properties which need considering, such as quantization, sampling, word length and data types. The authors of this paper propose to study the quantization problems on ASIC-based direct torque control of an induction machine. They present a high level behavior model of the specific circuit and analyze the torque quantization errors. Finally, simulation results illustrate quantization influences on control performances with different data type solutions.

Quantization problem analysis on ASIC-based direct torque control of an induction machine

An advanced common control method for shunt and series active conditioners, which compensate for the main types of disturbances in electrical power systems, is considered. If shunt and series actives conditioners are already well known as good compensation solutions for power quality improvement, it is also admitted that they generate some undesired components at switching frequency. To avoid these propagation problems, conditioner designers proposed a high-order output filter associated to a specific controller based on the RST control method. However, by applying this controller, it can be observed that a phase lag between the reference and the injected signal appears in the current and voltage control loop, which damages harmonic compensation. Therefore, a new RST controller is proposed, called RSTimp, to overcome the phase lag effects over the entire bandwidth for both active conditioners. The RSTimp proposed control method is validated through SABER simulations. These simulations show very good active conditioner performance in terms of rapidity, tracking and robustness for both current and voltage compensation.

Advanced common control method for shunt and series active compensators used in power quality improvement

FPGA implementation by modular design reuse mode to optimize hardware architecture and performance of AC motor controller algorithm

The authors present a methodology for designing a CMOS very large scale integration (VLSI) controller for AC motor control. Step-by-step, top-down methodology based on hardware description languages (HDL) with mixed simulation was used to study digital adaptation and architecture implementation of the control algorithm. An application using the proposed methodology was studied: the direct torque control (DTC) of an AC motor. The DTC is described and VLSI examined. Analogue and digital models were used to describe the algorithm implementation, specific binary format and architecture. The register transfer level (RTL) model for the DTC controller was validated by mixed simulation. The ASIC layout was created using Austria Mikro System standard cell library for 0.8 μm CMOS. Finally, the authors compared this VLSI approach with software implementation and co-design methodology.

HDL-based methodology for VLSI design of AC motor controller

This paper deals with the main perturbations such as voltage harmonic pollution, voltage unbalance and voltage sag in electrical systems. The series active conditioner is able to compensate these voltages on the customer side or on the sub-transmission side, leaving the fundamental voltage in the load terminals. Two control approaches (PI, RST) have been studied to ensure the regulation of the output voltage filter. An advanced RST corrector has been developed. Two methods of the disturbance identification have been proposed and compared. In this paper, through the simulations made by SABER numerical code, an energetic study is presented when the compensation of one or a combination of these voltages is aimed at. A power rating comparison has also been performed between the case with PLL and without PLL.

Energetic study of a series active conditioner compensating voltage dips, unbalanced voltage and voltage harmonics

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

F. Braun

Author Tools

Chat about Author