scholarly journals Efficient System Modeling of Complex Real-Time Industrial Networks Using the ACCORD/UML Methodology

2001 ◽  
pp. 11-21 ◽  
Author(s):  
Sébastien Gérard ◽  
François Terrier ◽  
Nikos S. Voros ◽  
Christos Koulamas
Keyword(s):  
Real Time ◽  
System Modeling ◽  
Efficient System ◽  
Industrial Networks

Multirate Integration for Real-Time Simulation of Wheel Loader Hydraulics

1999 ◽  
Author(s):  
Laurenţiu I. Buzdugan ◽  
Ole Balling ◽  
Peter Chien-Te Lee ◽  
Claus Balling ◽  
Jeffrey S. Freeman ◽  
...  
Keyword(s):  
Real Time ◽  
System Modeling ◽  
Pressure Fluctuations ◽  
Integration Scheme ◽  
Step Size ◽  
Integration Algorithm ◽  
Wheel Loader ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Dynamics Models

Abstract This paper details a real-time simulation of an articulating wheel loader, which is comprised of a multibody system modeling the chassis and the bucket assembly and a set of subsystems. The hydraulic subsystem is modeled by a set of ODE’s which represent the oil pressure fluctuations in the system. An Adams-Bashforth-Moulton integration algorithm has been implemented using the Nordsieck form to develop a constant step-size multirate integration scheme, modeling the interaction between the hydraulic subsystem and multibody dynamics models. An example illustrating the simulation of a wheel loader bucket operation is presented at the end of the paper.

Hybrid Wired/Wireless Real-Time Industrial Networks

2009 ◽  
pp. 26-1-26-20
Author(s):  
Stefano Vitturi ◽  
Adriano Valenzano ◽  
Gianluca Cena
Keyword(s):  
Real Time ◽  
Industrial Networks

Real-time simulator and offline/online closed-loop test bed for power system modeling and development

2020 ◽  
Vol 122 ◽  
pp. 106203 ◽  
Author(s):  
Ali Parizad ◽  
Hamid Reza Baghaee ◽  
Mohamad Esmaeil Iranian ◽  
Gevork B. Gharehpetian ◽  
J.M. Guerrero
Keyword(s):  
Power System ◽  
Real Time ◽  
Closed Loop ◽  
System Modeling ◽  
Test Bed ◽  
Power System Modeling

scholarly journals FPGA-Based Implementation of Finite Set-MPC for a VSI System Using XSG-Based Modeling

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 260 ◽  
Author(s):  
Vijay Kumar Singh ◽  
Ravi Nath Tripathi ◽  
Tsuyoshi Hanamoto
Keyword(s):  
Real Time ◽  
System Development ◽  
Control Strategies ◽  
System Modeling ◽  
Experimental System ◽  
Experimental Result ◽  
Voltage Source ◽  
Primary Concern ◽  
Fpga Design ◽  
Finite Set

Finite set-model predictive control (FS-MPC) is used for power converters and drives having unique advantages as compared to the conventional control strategies. However, the computational burden of the FS-MPC is a primary concern for real-time implementation. Field programmable gate array (FPGA) is an alternative and exciting solution for real-time implementation because of the parallel processing capability, as well as, discrete nature of the hardware platform. Nevertheless, FPGA is capable of handling the computational requirements for the FS-MPC implementation, however, the system development involves multiple steps that lead to the time-consuming debugging process. Moreover, specific hardware coding skill makes it more complex corresponding to an increase in system complexity that leads to a tedious task for system development. This paper presents an FPGA-based experimental implementation of FS-MPC using the system modeling approach. Furthermore, a comparative analysis of FS-MPC in stationary αβ and rotating dq frame is considered for simulation as well as experimental result. The FS-MPC for a three-phase voltage source inverter (VSI) system is developed in a realistic digital simulator integrated with MATLAB-Simulink. The simulated controller model is further used for experimental system implementation and validation using Xilinx FPGA: Zedboard Zynq Evaluation and Development Kit. The digital simulator termed as Xilinx system generator (XSG) provided by Xilinx is used for modeling-based FPGA design.

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