海军航空大学学报2026，Vol.41Issue(2)：401-407,418,8.DOI:10.7682/j.issn.2097-1427.2026.02.014
基于多目标粒子群优化算法的全电式高平机轨迹优化
Trajectory Optimization of Fully Electric Elevating Equilibrator Based on Multi-Objective Particle Swarm Optimization Algorithm
摘要
Abstract
Aiming to address the technical limitations of traditional pneumatic-hydraulic elevating equilibrator,such as low reliability and slow response speed,a fully electric elevating equilibrator driven by an electric cylinder is developed to replace its traditional counterpart,achieving millisecond-level rapid response.A mathematical model of the self-propelled artillery's elevating equilibrator is constructed to analyze the torque balance and motion trajectory characteris-tics during the elevation process of the all-electric mechanism.A multi-objective particle swarm optimization algorithm is employed to optimize and reconfigure the core parameters affecting elevation performance,leading to a significant en-hancement in the dynamic performance of the elevation process.It provides important theoretical support for the full electrification of self-propelled artillery.关键词
全电式高平机/火炮调炮/多目标粒子群优化算法/运动轨迹优化Key words
electric elevating equilibrator/artillery adjustment/multi-objective particle swarm optimization/motion tra-jectory optimization分类
军事科技引用本文复制引用
王子攸,葛建立,张杰,杨国来,王修业..基于多目标粒子群优化算法的全电式高平机轨迹优化[J].海军航空大学学报,2026,41(2):401-407,418,8.基金项目
国家自然科学基金(52475020) （52475020）
