Fast regulation of multi-position differentiated environment: Multi-step joint optimization of air supply parameters

It is necessary to maintain differentiated air parameters oriented to their desired values for objects at various positions. Parameter regulation at each target position is expected to be performed more rapidly. In this study, a multi-step joint optimization (MSJO) and regulation strategy is proposed for the fast regulation of multi-position differentiated parameters. A linear relationship under a fixed flow field is adopted to correlate the air parameters at each target position with various influencing factors in a non-uniform environment. Two air supply optimization models are established based on the linear relationship: one for the fast regulation of air parameters during the intermediate steps and the other for satisfying the desired parameters in the final step. Based on numerical analysis, MSJO is shown to be significantly superior to one-step optimization, and the parameter variation time for the single and two positions can be reduced by more than 70%. Even if the number of target positions exceeds that of the air supply inlets, the parameter at each position can be regulated to the vicinity of their desired values, and the parameter variation time can be reduced by at least 36%. The reverse regulation of parameters at the two target positions does not affect the acceleration of parameter variation, and MSJO can reduce the time by at least 32%. The proposed model-based air supply regulation strategy may serve as a reference for establishing a multi-position non-uniform environment.