The Research On Optimal Control For Boeing 737 Airplane Pre-conditioning

From the view of running costs and safety,air quality to analyze,the use of airplane pre-conditioning to replace aircraft APU has some advantages,therefore,it is of high significance to search airplane pre-conditioning optimizing operation with energy conservation to reduce the cost of energy consumption for airline basis of air conditioning area human comfor and air quality.For airplane pre-conditioning system,make integrated dicision by global coordination optimal control method based on local control optimization.In the research,the airplane pre-conditioning system is decomposed in hierarchical structure based on system decomposed-coordination theory and operating principle.Using the decentralized identification algorithm to establish the steady state model,and the overall hardware and software platform of experimental system were design.With airport aporn meteorogical parameters adopted to predict the system load,ASHRAE method was proposed to predict the aporn hourly temperature.The Grey-NN neural network prediction algorithm and culture particle optimization prediction algorithm were designed to predict airplane pre-conditioning system dynamic load,and the forecast result could be the basis for the objective and constraints of the global optimization.Steady-state optimization problem of airplane pre-conditioning large-scale system was studied based on energy consumption model is established,and the global system optimization operating condition model was constructed.The OPBMLF with local feedback was designed to optimize globally airplane pre-conditioning system,the optimal solution of the objective function is obtained with Matlab.The experimental results show that,using global optimization strategy can be a great solution to airplane pre-conditioning system control and optimization in summer condition.