Optimization of dynamic characteristics of a dual power split transmission system

The Runge-Kutta method was utilized to solve the load sharing coefficients and dynamic load coefficients of a coaxial twinrotor dual power split transmission system. Employing a multi-objective optimization method with a genetic algorithm, the optimal solution set and Pareto frontier diagram for each stage clearance combination was obtained, using the load sharing coefficient and dynamic load coefficient of each stage as optimization objectives. The research revealed that the scatter plot shows a spatial curve composed of the two objective functions, with a relatively uniform distribution of points. Consequently, the results of this optimal set encompass most of the optimal solutions, offering higher accuracy, a broad range of adaptability, and superior global performance.