SIMULATION: Transactions of The Society for Modeling and Simulation International

Belpedio, Ron

doi: 10.1177/003754978905300501pmid: N/A

Schroer, Bernard J.

doi: 10.1177/003754978905300502pmid: N/A

This paper presents a structured approach to modeling manufac turing systems. The structured approach is accomplished through a simulation assistant consisting of a set of predefined GPSS simulation macros, a user interface, and an automatic code generator.

McLeod, John

doi: 10.1177/003754978905300503pmid: N/A

Hsing Chien Yeh, ; Kastenberg, William E.; Karplus, Walter J.

doi: 10.1177/003754978905300504pmid: N/A

The application of a host/ coprocessor system, consisting of an IBM PC/AT and a Marinco peripheral array proc essor, to the simulation of nuclear power plant transients is described. The simulation algorithm employs a multistep, multirate integration method. Rapidly varying transients were implemented on the array processor, while the slow components of the system dynamics were handled by the host computer. The generation of nonlinear functions of dependent variables using table lookup techniques was also implemented on the array processor. A simplified model of a pressurized water reactor was employed as a benchmark. Flow rate and power transients using a variety of integration formulas are presented along with data showing the speed up achieved through the use of the peripheral processor.

Majeti, Venkata C.

doi: 10.1177/003754978905300505pmid: N/A

Ludwig, Donald

doi: 10.1177/003754978905300506pmid: N/A

DeBrota, David J.; Dittus, Robert S.; Roberts, Stephen D.; Wilson, James R.

doi: 10.1177/003754978905300507pmid: N/A

Norris Software Systems, Inc.,

doi: 10.1177/003754978905300508pmid: N/A

Wildberger, A. Martin

doi: 10.1177/003754978905300509pmid: N/A

Spelt, P.F.; Lyness, E.; deSaussure, G.

doi: 10.1177/003754978905300510pmid: N/A

The Center for Engineering Systems Advanced Research (CESAR) conducts basic research in the area of intelligent machines. Recently at CESAR a learning expert system was created to operate on board an autonomous robot working at a process control panel. A two- computer simulation system was used to create, evaluate and train this learning system. The simulation system has a graphics display of the current status of the process being simulated, and the same program which does the simulat ing also drives the actual control panel. Simulation results were validated on the actual robot. The speed and safety values of using a computerized simulator to train a learning computer, and future uses of the simula tion system, are discussed.