ARCHITECTURE FOR RESEARCH, TRAINING AND EDUCATION IN CONTROL ENGINEERING.

HOSSU, Daniela; FAGARASAN, Ioana; ILIESCU, Sergiu Stelian; HOSSU, Andrei; STAMATESCU, Grigore; STAMATESCU, Iulia; ARGHIRA, Nicoleta; CALOFIR, Vasile

In control engineering both practical and theoretical components of the education are very important for courses as well as laboratory work. The aspects of design and implementation of control need to be integrated in the whole process of learning and training. The paper is presenting a proposal of an architecture of a platform dedicated for research, training and education in control engineering. The proposed architecture is based on components with important "ready to evolve" features. The open platform for study has as input an image process data with an online updating snapshots of data. The structure is based on a connection to the real process to be study and periodically this connection is providing to the platform a new set of data improving an updating image of the process current used by the platform. This transfer of data is obtained from the process via Internet by the simulation and modeling PC of the proposed platform. A fuzzy black-box modeling technique is used in this purpose. In order to complete the functionality of our propose platform, inside the architecture will be included a PLC for implementing and experimenting different types of control strategies from very simple ones to the most advanced algorithms. Also, the proposed platform includes a SCADA station for providing the most complete education and training experience. The advantage of proposed architecture is to use the real data input from a complex industrial process, to build a model improved in time, but to isolate and protect the process from research, training and education area contained in the built platform.

AUTOMATIC control systems; CONTROL theory (Engineering); SUPERVISORY control & data acquisition systems; DATA acquisition systems; SUPERVISORY control systems; EDUCATION

eLearning & Software for Education, 2017, Vol 2, p365

2066-026X

Conference Proceeding

10.12753/2066-026X-17-137