Optimization of grain design for hybrid rocket engine based on hybrid optimization algorithm

To decrease the performance loss such as specific impulse caused by oxidizer fuel ratio deviation from optimal value during the working process, a hybrid optimization algorithm based on clonal selection algorithm(CSA) and differential evolution(DE) was proposed in this paper, which was called differential clonal selection algorithm(DCS). An optimization model and a scheme for grain design were established, and penalty function was adopted to eliminate the restrictions. The algorithm, model and frame were applied to a hybrid rocket grain design, and the result indicates a good performance of the algorithm and scheme. After the optimization, excrescent propellant ratio and combustor pressure are reduced, the working condition of combustor and nozzle is meliorated, and an average specific impulse increase by 1. 2 percent.