Neural Network Enhanced Control of Two-Phase Cooling Systems for Power Electronics Converters

The paper deals with the control structure and implementation of a fully integrated Two-Phase Cooling system for power converters. A suitable testbed has been properly designed and built to perform the experimental campaign for the performance evaluation of the Neural Network based control structure applied to an advanced multivariable Two-Phase Cooling system. With respect to traditional cooling approaches, the proposed arrangement allows a greater extraction of the heat at a very low flow rate of the cooling fluid, even with standard industrial-grade heat-sinks. The technology could be implemented for the next generation of power electronics converters. The controllability of such a cooling system is still an open issue in many cases, and the proposed approach tries to suggest a feasible approach, which could be implemented on an industrial grade control board.