A novel real-time simulation platform for testing control algorithm

Author

Yinsong Wang ; Xiaohe Qu

Author_Institution

North China Electr. Power Univ. Inst. of Technol., Baoding, China

fYear

2015

fDate

23-25 May 2015

Firstpage

4748

Lastpage

4750

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.

Keywords

adaptive control; closed loop systems; control engineering computing; fuzzy control; mathematics computing; programmable controllers; real-time systems; simulation; testing; three-term control; Matlab; PLC; Simulink; closed-loop real-time control system; dSPACE simulation system; parameter adaptive fuzzy PID; programmable logic controller; real-time simulation platform; testing control algorithm; Adaptation models; Algorithm design and analysis; Hardware; MATLAB; Mathematical model; Real-time systems; Matlab/Simulink; OPC; PLC; Real-time Simulation Platform; dSPACE;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2015 27th Chinese

Conference_Location

Qingdao

Print_ISBN

978-1-4799-7016-2

Type

conf

DOI

10.1109/CCDC.2015.7162764

Filename

7162764