Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Paintshop production line optimization using response surface methodology
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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Distributed real-time simulation is the focus of intense development, with complex systems being represented by individual component simulations interacting as a coherent model. The real-time architecture may be composed of physically separated simulation centres. Commercial off-the-shelf (COTS) and Freeware Real-time software exists to provide data communication channels between the components, subject to adequate system bandwidth. However if the individual models are too computationally intensive to run in real time, then the performance of the real-time simulation architecture is compromised. In this paper, model representations are developed from dynamic simulation by the response surface methodology (RSM), allowing complex systems to be included in a real-time environment. A Permanent Magnet AC (PMAC) motor drive simulation with model reference control for a more electric aircraft application is examined as a candidate for inclusion in a realtime simulation environment.