Research on the Parameters Optimization of Hydro-mechanical Compound Transmission with MOGA

Abstract

Under the premise of the implementation of optimum control, the coupling optimization considering parameter and control can be used to solve the parameters matching problem of compound transmission system well. This paper takes a typical multi-mode hydro-mechanical compound transmission device as research object, and conducts kinematic analysis. Multi-Objective Genetic Algorithm(MOGA) based on Pareto optimal principle is used to solve the parameters optimization problem, including the choice of design variables, the determination of optimization goals, the imposition of constraints, and so on. The optimization model of transmission system is established, climbing angle and fuel consumption rate are considered as objective functions of dynamic performance and fuel economic performance, experimental design and optimization algorithm are combined to seek the optimum solution by global search. The results show that climbing angle (o) average value is 27.259, 99% confidence interval is [26.074, 28.445], and Pareto optimal solution is 27.931; fuel consumption rate (g/kW·h) average value is 208.876, 99% confidence interval is [208.622,209.130], and Pareto optimal solution is 206.760. The climbing angle increases with the decrease of the fuel consumption rate, so the optimal solution can be selected according to the actual needs.