Realization of a Complex Control & Diagnosis System on Simplified Hardware

12th European Workshop on Advanced Control and Diagnosis

Stetter, R.^1 ; Prasad, M Swamy^1

Hochschule Ravensburg-Weingarten, Weingarten

88241, Germany^1

关键词: Diagnosis systems;    Electrical energy consumption;    Industrial environments;    Industrial implementation;    Matlab/Simulink modeling;    Modelling and simulations;    Modelling capabilities;    Simulation and testing;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012018/pdf
DOI  :  10.1088/1742-6596/659/1/012018

来源: IOP

【 摘 要 】

Energy is an important factor in today's industrial environment. Pump systems account for about 20% of the total industrial electrical energy consumption. Several studies show that with proper monitoring, control and maintenance, the efficiency of pump systems can be increased. Controlling pump systems with intelligent systems can help to reduce a pump's energy consumption by up to one third of its original consumption. The research in this paper was carried out in the scope of a research project which involves modelling and simulation of pump systems. This paper focuses on the future implementation of modelling capabilities in PLCs (programmable logic controllers). The whole project aims to use a pump itself as the sensor rather than introducing external sensors into the system, which would increase the cost considerably. One promising approach for an economic and robust industrial implementation of this intelligence is the use of PLCs. PLCs can be simulated in multiple ways; in this project, Codesys was chosen for several reasons which are explained in this paper. The first part of this paper explains the modelling of a pump itself, the process load of the asynchronous motor with a control system, and the simulation possibilities of the motor in Codesys. The second part describes the simulation and testing of a system realized. The third part elaborates the Codesys system structure and interfacing of the system with external files. The final part consists of comparing the result with an earlier Matlab/SIMULINK model and original test data.