The Study on Field Programmable Gate Array Based on PID Controllers in Real Time

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.66-68.1923 ◽

2011 ◽

Vol 66-68 ◽

pp. 1923-1929

Author(s):

Fang He

Keyword(s):

Fuzzy Logic ◽

Data Acquisition ◽

Real Time ◽

Fuzzy Controller ◽

Time Data ◽

Software Module ◽

Field Programmable ◽

Labview Fpga ◽

The Comparative Study ◽

Fuzzy Pd

In the present work PID control and the fuzzy logic based intelligent control is used to control the rectilinear plant vibrations. PID controller in real time mode is implemented on FPGA. For implementation of fuzzy logic based intelligent controller the FPGA is used as real time data acquisition (DAQ) platform and the fuzzy controller is implemented on the host PC. The sole reason for using FPGA as data acquisition platform was that the LabVIEW FPGA software module is not supporting the complex mathematics required for the fuzzy logic control and also the rectilinear plant interface with the traditional DAQ was not available. The comparative study of performance of intelligent controllers like fuzzy PD and fuzzy PI+ fuzzy PD is done with the conventional controllers on the basis of above mentioned performance indices. The result of the fuzzy PI + fuzzy PD controller is found to be the best among all.

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LabVIEW-FPGA-Based Real-Time Data Acquisition System for ADITYA-U Heterodyne Interferometry

IEEE Transactions on Plasma Science ◽

10.1109/tps.2021.3082159 ◽

2021 ◽

pp. 1-7

Author(s):

Kiran Patel ◽

Umesh Nagora ◽

Hem C. Joshi ◽

Surya Pathak ◽

Kumarpalsinh A. Jadeja ◽

...

Keyword(s):

Data Acquisition ◽

Real Time ◽

Data Acquisition System ◽

Acquisition System ◽

Heterodyne Interferometry ◽

Time Data ◽

Real Time Data ◽

Labview Fpga

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The Bus Dispatching Optimal Control System Based on Real-Time Data Acquisition

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.195-196.1008 ◽

2012 ◽

Vol 195-196 ◽

pp. 1008-1016 ◽

Cited By ~ 1

Author(s):

Jian Li

Keyword(s):

Optimal Control ◽

Control System ◽

Data Acquisition ◽

Real Time ◽

Time Interval ◽

Time Data ◽

Software Module ◽

Optimal Control System ◽

Departure Time ◽

Real Time Data

In this paper, main software module in the subject The Bus Dispatching Optimal Control System Based on Real-time Data Acquisition has been designed. By gradually changing the departure time interval, the system uses SCM to simulate the system running status in various time periods so as to determine the optimal departure time interval, and has established the integrated and optimal scheduling model through the research and development of four functions i.e. data acquisition, remote network monitoring, C/S/S architecture, network access. This article will focus on the design of the main module of software part in the system.

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Artificial Intelligent Fuzzy Logic Controller Applied on 6DOF Robot Arm Using LabVIEW and FPGA

European Journal of Engineering Research and Science ◽

10.24018/ejers.2018.3.5.661 ◽

2018 ◽

Vol 3 (5) ◽

pp. 1

Author(s):

Ahlam Najm A-Amir ◽

Hanan A.R. Akkar

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Robot Manipulator ◽

Robot Arm ◽

Serial Link ◽

Artificial Intelligent ◽

Field Programmable ◽

Labview Fpga

In this work an efficient Artificial Intelligent Robotic Fuzzy Logic Controller (AIRFC) system have been constructed to control the robot arm. A serial link Robot manipulator with 6 Degree of Freedom (DOF) from DFROBOT of code ROB0036 is used as a case study. A fuzzy logic type1 controller is implemented on LabVIEW to control each joint of the robot arm for nonlinearity measurements and a fuzzy logic type2 controller is applied which is more suitable for uncertainty. The hardware design is implemented and finally downloaded using the Field Programmable Gate Array (FPGA) kit named PCI-7833R from National Instrument. By using the LabVIEW FPGA MODEL the target board can be detected for software implementation of the controllers’ systems. The work shows that in case of type2 fuzzy logic the rise time is less than that of type1 fuzzy logic for the shoulder, wrist roll and the gripper angles and it is higher for base, elbow and wrist pitch angles. The settling time is the same in elbow and wrist pitch angles and for the type2 fuzzy controller it is less for other angles.

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Design of Data Acquisition System Based on FPGA

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.1592 ◽

2011 ◽

Vol 403-408 ◽

pp. 1592-1595

Author(s):

Guo Sheng Xu

Keyword(s):

Data Processing ◽

Data Acquisition ◽

Real Time ◽

High Speed ◽

Image Data ◽

Data Acquisition System ◽

Acquisition System ◽

Time Data ◽

Real Time Processing ◽

Field Programmable

A new kind of data acquisition system is introduced in this paper, in which the multi-channel synchronized real-time data acquisition under the coordinate control of field-programmable gate array(FPGA) is realized. The design uses field programmable gate arrays(FPGA) for the data processing and logic control. For high speed CCD image data processing, the paper adopts regional parallel processing based on FPGA. The FPGA inner block RAM is used to build high speed image data buffer is put into operation to achieve high speed image data integration and real-time processing. The proposed data acquisition system has characteristics of stable performance, flexible expansion, high real-timeness and integration

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The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽

10.3390/j4020012 ◽

2021 ◽

Vol 4 (2) ◽

pp. 147-153

Author(s):

Paula Morella ◽

María Pilar Lambán ◽

Jesús Antonio Royo ◽

Juan Carlos Sánchez

Keyword(s):

Decision Making ◽

Data Acquisition ◽

Real Time ◽

Failure Detection ◽

Cyber Physical Systems ◽

Future Research ◽

Time Data ◽

Physical Systems ◽

The Real ◽

Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

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