A Study on Bifurcation Control Using Pattern Recognition of Thermal Convection.
Sei-ichi IIDA, Kakuji OGAWARA, Satoshi Furusawa · JSME International Journal Series B · 1996
The Benard thermal convection field is known to have multiple solutions for a certain Rayleigh number condition. This means that several convection flow patterns can be stably sustained without an external control force. This study demonstrates that bimodal switching control is possible by means of flow state estimation. A neural network was used to recognize the transition state of the convection flow pattern. In order to change the flow pattern, an unstable feature of Benard convection was utilized. That is, the chaotic nature of wobbling around multiple solutions contributes to fast switching between stable modes. Numerical simulations were carried out to show the ability of the current control method.