Trajectory Optimization Method for Flexible Hypersonic Vehicle Based on Pigeon-Inspired Optimization
Yueyang Wang, Yifang Tang, Chaofang Hu · 2025
In this paper, a multi-objective trajectory optimization problem under multiple constraints is addressed to enhance control performance and suppress flexible vibration of the flexible hypersonic vehicle (FHSV). In order to better handle multiple objectives and avoid falling into local optimum, a trajectory optimization method based on the multi-objective-pigeon-inspired optimization (MPIO) algorithm is proposed. Initially, focusing on flexible suppression, trajectory oscillation and minimum energy consumption, a multi-objective optimization problem is established. Secondly, the multi-objective trajectory optimization problem is transformed into a nonlinear programming (NLP) problem by pseudo-spectral method, and the intelligent MPIO algorithm is employed for trajectory solution, the penalty function is introduced to converted the trajectory optimization problem into the unconstrained form. Then, the Pareto classification is employed for pigeons categorization and ranking. Meanwhile, the Tube model predictive control (Tube-MPC) is utilized to ensure the stable flight of the FHSV. Finally, the reference trajectory is applied to the FHSV, and the effectiveness of the proposed method is verified through simulation experiments.