差动活塞式热气自增压系统优化设计

In order to obtain the optimal design of a differential piston warm gas self-pressurization system for the liquid attitude and divert propulsion system, an approach for design optimization through genetic algorithm is discussed. The system includes the solid start cartridge, pressure amplified tank with liquid monopropellant, liquid regulator, gas generator, pipes. The multi-objective constrained optimization is aimed at the system total mass and starting time minimization with given requirements, constraints and design assumptions. Evaluation modules are developed to estimate the system total mass, the axial dimension, the radial dimension and the system performance parameters. The weighted sum method and penalty function method as well as the genetic algorithm are utilized to solve the multi-objective constrained optimization. According to the Pareto-frontier solutions, the optimized results can be obtained, whereas the weighted factor of the system total mass varies within [0.4, 1.0]. The single-objective optimizations are executed to obtain the optimal value of each system parameter, the system total mass, the starting time, the centroid drift, the axial dimension and the radial dimension can be respectively decreased 23.17%, 34.40%, 84.10%, 62.28% and 4.14%, and the pressurization efficiency can be increased 0.42%. The design variables effects on the system parameters are also investigated. These parameters are mainly affected by the gas cavity initial volume, the liquid cavity diameter of the pressure amplified tank and the solid propellant mass of the start cartridge.