Multi-Objective Optimization of Real-Time Parameters for Thermal Management System of Hypersonic Vehicle Actuating System

Hypersonic vehicle actuating system will endurance great thermal load when it re-enters the atmosphere. Pump-controlled loop pipe (PCLP) is widely used to dissipate its thermal load. PCLP is a kind of organic Rankine cycle (ORC). ORC is also commonly used in residual energy recovery. To address challenges to optimize multiple conflicting objectives at the same time in ORC, a multi-objective optimization (MOO) method for ORC is proposed, using energy consumption, total exergy loss, and compression ratio as objective functions. The unconstrained multi-objective evolutionary algorithm based on decomposition and fitness rate rank based multi-armed bandit (MOEA/D-FRRMAB) is enhanced to handle constrained MOO problem. An improved entropy weight-technique for order preference by similarity to an ideal solution (entropy weight-TOPSIS) approach is proposed for selecting the best solution from Pareto optimal solutions, which can obtain a set of real-time optimized parameters of system to achieve a comprehensive optimization effect, considering the system’s thermal load.