Purpose

The aim of this study is to design a guidance method to generate a smoother and feasible gliding reentry trajectory, a highly constrained problem by formalizing the control variables profile.

Design/methodology/approach

A novel accelerated fractional-order particle swarm optimization (FAPSO) method is proposed for velocity updates to design the guidance method for gliding reentry flight vehicles with fixed final energy.

Findings

By using the common aero vehicle as a test case for the simulation purpose, it is found that during the initial phase of the longitudinal guidance, there are oscillations in the state parameters which cause to violate the path constraints. For the glide phase of the longitudinal guidance, the path constraints have higher values because of the increase in the atmosphere density.

Research limitations/implications

The violation in the path constraints may compromise the flight vehicle safety, whereas the enforcement assures the flight safety by flying it within the reentry corridor.

Originality/value

An oscillation suppression scheme is proposed by using the FAPSO method during the initial phase of the reentry flight, which smooths the trajectory and enforces the path constraints partially. To enforce the path constraints strictly in the glide phase, ultimately, another scheme by using the FAPSO method is proposed. The simulation results show that the proposed algorithm is efficient to achieve better convergence and accuracy for nominal as well as dispersed conditions.

中文翻译：

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加速分数阶粒子群优化方法的再入导

目的

这项研究的目的是设计一种指导方法，通过形式化控制变量轮廓来生成更平滑可行的滑行再入轨迹，这是一个高度受限的问题。

设计/方法/方法

提出了一种新颖的加速分数阶粒子群算法（FAPSO）用于速度更新，设计了最终能量固定的滑行再入飞行器的制导方法。

发现

通过将普通的航空车辆用作仿真目的的测试案例，发现在纵向引导的初始阶段，状态参数中存在振荡，这导致违反路径约束。对于纵向引导的滑行阶段，由于大气密度的增加，路径约束具有较高的值。

研究局限/意义

违反路径限制可能会损害飞行器的安全性，而执法人员则通过在再进入走廊内飞行来确保飞行安全性。

创意/价值

在再入飞行的初始阶段，采用FAPSO方法提出了一种振动抑制方案，该方案可以平滑轨迹并部分地限制航迹。为了在滑行阶段严格执行路径约束，最终提出了另一种使用FAPSO方法的方案。仿真结果表明，该算法在标称和分散条件下均能有效地达到较好的收敛性和精度。