A design support method for automation system configuration using model-based simulation

There is an increasing demand to reduce cost and shorten the development period. Though an automation system consists of sub-systems, each sub-system is large. Therefore, the development of such a system is complex. In addition, an automation system, in which there are a wide variety of object requests, may not achieve the processing performance of the target depending on the combination and arrangement method of the sub-systems. Thus, it is important to design appropriate configuration. We propose a design support method using model-based simulation. This method predicts total system performance by extracting the constraints arising from the system configuration and patterning the various input data. We applied this method to the design of configurations of embedded system composed of multiple processing sub-systems. In the result, the most reasonable configuration was designed from two patterns of system configuration.