Identification of key transfer parameters of rocket engine pressurization system
In order to solve the difficulty of determining the key heat transfer parameters in the design of rocket pressurization system,a heat transfer parameter identification method based on adaptive chaotic particle swarm optimization(ACPSO)algorithm was proposed.The mathematical model of the pressurization system considering the heat transfer terms was established.The parameters to be identified were selected by sensitivity analysis,and then identified by particle swarm optimization method with local minimum prevention and adaptive weight strategy.The root mean square function with weight decay was optimized.The results showed that the identified simulation value was in good agreement with the measured value.The deviation between the simulation and the measured value of the opening time of the pressurization electric valve of the oxygen tank was less than 3％,and the deviation between the simulation value and the measured value of the temperature at the end of a flight of the gas bottle was only 2.4 K.If the identification results were applied to a similar newly developed pressurization system,the volume and weight of the gas bottle was reduced by 32 L and 11.6 kg compared with the design under the adiabatic assumption,which effectively saved cost caused by redundant design.
system engineeringheat transferparticle swarm optimization algorithmparameter identificationrocket pressurization system
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