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2015•Unpublished venueRequires access

A novel real-time simulation platform for testing control algorithm

Yinsong Wang, Xiaohe Qu

Open publisher page 3 citations

Abstract

In this paper, a novel real-time simulation platform, used to test the control algorithm, is presented. The platform consists of three parts, which are Matlab/Simulink, PLC and dSPACE. Matlab/Simulink plays the role of controller along with PLC (Programmable Logic Controller), dSPACE simulation system is used to model the real controlled plant, the controller and controlled plant form a closed-loop real-time control system. Both the hardware connection and the communication realization of the platform are described in detail. The platform makes full use of the powerful data processing capabilities, abundant toolboxs of Matlab/Simulink and the profuse modeling methods in dSPACE, it's straightforward and flexible to realize the algorithm and model the controlled plant. Taking the parameter adaptive fuzzy PID as example, the simulation results explicitly show the effectiveness of the platform.

About this research paper

What this paper is about

In this paper, a novel real-time simulation platform, used to test the control algorithm, is presented. The platform consists of three parts, which are Matlab/Simulink, PLC and dSPACE. Matlab/Simulink plays the role of controller along with PLC (Programmable Logic Controller), dSPACE simulation system is used to model the real controlled plant, the controller and controlled plant form a closed-loop real-time control system. Both the hardware connection and the communication realization of the platform are described in detail. The platform makes full use of the powerful data processing capabilities, abundant toolboxs of Matlab/Simulink and the profuse modeling methods in dSPACE, it's straightforward and flexible to realize the algorithm and model the controlled plant. Taking the parameter adaptive fuzzy PID as example, the simulation results explicitly show the effectiveness of the platform.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, a novel real-time simulation platform, used to test the control algorithm, is presented. The platform consists of three parts, which are Matlab/Simulink, PLC and dSPACE. Matlab/Simulink plays the role of controller along with PLC (Programmable Logic Controller), dSPACE simulation system is used to model the real controlled plant, the controller and controlled plant form a closed-loop real-time control system. Both the hardware connection and the communication realization of the platform are described in detail. The platform makes full use of the powerful data processing capabilities, abundant toolboxs of Matlab/Simulink and the profuse modeling methods in dSPACE, it's straightforward and flexible to realize the algorithm and model the controlled plant. Taking the parameter adaptive fuzzy PID as example, the simulation results explicitly show the effectiveness of the platform.

Key concepts: Computer science, Algorithm, Real-time computing

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