Distributed simulation using distributed control systems

ABSTRACT

Modern process automation and control systems must be able to control discrete as well as continuous events. These events are sensed and controlled by distributed devices. Simulation is a necessity in order to design and tune the automatic control system. This paper addresses the advantages and disadvantages of using the discrete and continuous functions available in the control system to perform simulations. The simulation should run in real time for the purpose of operator training. The simulation should be transparent to the operator or user. Simulation should use generic building blocks to gain a wide variety of applications. As an example, the same simulator could be used to train both a nuclear reactor operator and a textile process operator. While this usually does not happen, it could become a necessity in an academic environment where fundamental concepts need to be taught to a variety of students with a minimal amount of duplication of effort.

REFERENCES

• 1: Austin, Wanda M. and Behrokh Khoshnevis. Automatic model generation for production-distribution systems using natural language. Simulation, Vol. 52, No. 5, May 1989, pp. 207-211
• 2: Haas, Allen M., Reed, Morton W. and Dennis C. Williams. Pilot slasher yarn drying model identification. Textile Res. Journal. Vol 5S, No. I. January, 1988, pp. 2?-34
• 3: Coughanowr, Donald R. and Lowell B. Koppel. Process Systems Analysls and Control. McGraw-Hill, Inc. 1965, Chapter 32
• 4: Smith, Cecil L. Digital Computer Process control. International Textbook company, 1972, Chapter 8, pp. 225-231
• 5: Yeh, Hsing Chien, William E. Kastenberg and Walter J. Karplus. D y n am i o nuclear power plant simulations using single-board peripheral array processors. Simulation, Vol. 53, No. 5, Nov. 1989, pp. 209-217

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.1 Simulation Theory
          Subjects: Types of simulation (continuous and discrete)*

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Command and control; Process control

General Terms:
Design, Languages