Application of evolutionary strategy of research of static characteristics of liquid propellant rocket engine

The mathematical models of the static characteristics of the full-flow staged combustion cycle rocket engine were presented. These mathematical models are composed of some non-linear equations. Using the conventional algorithms is very difficult to get to solution. Evolutionary strategy algorithm of solving the large dimension non-linear mathematical model was developed. It converts the problem of solving non-linear equations into the optimization problem of the solving the minimum value with constraints. The mathematical models of evolutionary strategy algorithm were built. The designs of mutation operator and recombination operator were presented. According to the experience and calculation results, the select operator was presented. The method of dealing with constraints was employed. The method is named as direct comparison proportional method (DCPM). Evolutionary strategy algorithm is applied solving the static characteristics of the full-flow staged combustion cycle rocket engine. Calculation results show that using evolutionary etrategy algorithm can research the static characteristics of the full-flow staged combustion cycle liquid propellant rocket engine.