Multi-objective optimization analysis of aircraft

An optimization method which has the minimum system entropy generation as objective function is used to the integrated optimization calculation of aircraft environmental control system and engine.The multi-objective optimization concept is introduced,as the requests of design variables to minimize total entropy generation for different flight phases are different,and even conflict exists.The total entropy generation minimum at different flight phases of mission profile are regarded as different objective.The multi-objective optimization model is established through analysing the relationship between two systems.The design variables are chosen and constraint conditions are analysed.An adaptive evolutionary particle swarm optimization algorithm is adopted to compute the multi-objective optimization model,and the Pareto optimal set is obtained,providing theoretical basis for scheme decision.Simulation results validate the validity of the given method,providing a new thought for aircraft system integrated optimization.