System integration of a multivariable process plant utilising an intelligent control technique

• Autorzy: Naidoo P. , Govender D. T. P. , van Niekerk T. I.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The research objective is to maintain a desired process outlet temperature. Firstly, communication between the control system and the process field devices by means of Profibus-PA and Profibus-DP is established. Secondly the process flow rate and level in the supply vessel must be controlled in the same system. The final manipulated variable, an air-to-open control valve is regulated to achieve the research objective [2]. The paper will discuss introductory aspects of Profibus and simulated results on the knowledge based controller as the research is on-going. Design/methodology/approach: The research project comprises the design, engineering and analysis of a multi input/output rule-based process control system on the Profibus communication platform. A programmable logic controller is configured to control the plant and a Profibus system is used to communicate input and output signals between the field instrumentation and the process control system. Findings: The plant and control knowledge derived for the design of the decision-making control algorithm in the research was obtained from available data in the open-loop mode as the plant is still to be commissioned. The designed algorithm will be tested on the process plant in comparison with the simulated results in order to evaluate its feasibility in a networked control system for temperature, level and flow on a Profibus-DP and Profibus-PA network. A mathematically-based control strategy will contribute to increasing the settling time tremendously thereby impacting negatively on factors like production time and quality. Practical implications: The process control system will monitor and control measured variables such as flow, temperature and level on a typical industrial plant. The plant will be used to transfer technology education and training to industry and practitioners alike. Originality/value: The control strategy emerging from this research may be applied to similar process plants in industry.

Słowa kluczowe

EN

Profibus; intelligent control; PLC

PL

inteligentne sterowanie; sterowniki PLC

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2008
• Tom: Vol. 31, nr 2
• Strony: 540--546
• Opis fizyczny: Bibliogr. 11 poz., wykr., il.

Twórcy

autor

Naidoo P.

autor

Govender D. T. P.

autor

van Niekerk T. I.

• Department of Electrical Engineering, Mangosuthu University of Technology, Durban, KwaZulu Natal, South Africa,

Bibliografia

• [1] J. Weigmann, G. Kilian, Decentralisation With Profibus DP/DPv1, Publicis Corporate, 2003, 53-75.
• [2] D. Reynders, E. Wright, TCP/IP and Ethernet Networking, IDC Technologies, 2003, 21-25.
• [3] IDC Technologies, TCP/IP Networking, IDC Technologies, 2000, 6.25-6.32.
• [4] S. Mackay, E. Wright, J. Park, D. Reynders, Industrial Data Networks, Elsevier, 2004, 200-210.
• [5] A. G. Samson, ProfibusPA Manual, Samsan AG, 2008, 21-40.
• [6] I. Niemelä, O. Jenkins, E. Suojalehto, J. Vehmas, M. Ankerman, Intelligent Fieldbus Positioner Evolved to Maintain Optimum Performance, African Pulp & Paper week, Proceedings of the International Convention Centre, Durban, 2002.
• [7] P. Naidoo, T. I. Van Niekerk, Knowledge Base Temperature Control on a Solar Parabolic Trough, Proceedings of the 22nd International Conference „CAD/CAM, Robotics and FOF”, 2006, 753-761.
• [8] H. Zhuang, X. Wu, Membership Function Modification of Fuzzy Logic Controllers with Histogram Equalization, IEEE Transactions 31 (2001) 125-132.
• [9] Y. Bai, H. Zhuang, Modeless Robots Calibration in 3D Workspace with an on-line Fuzzy Interpolation Technique, Proceedings of the IEEE Conference „Fuzzy Systems”, vol. 6, 2004, 5233-5239.
• [10] J. P. Ylen, Improved Performance of Self-Organising Fuzzy Controller (SOC) in pH Control, Proceedings of the IEEE World Congress „Computational Intelligence”, Fuzzy Systems 1, 1998, 258-263.
• [11] H. Vermaak, J. Kinyua, Multi-Agent Systems based Intelligent Maintenance Management for a Component-Handling Platform, Proceedings of the IEEE International Conference „Automation Science and Engineering”, 2007, 1057-1062.