A full trajectory optimization design method based on two-layer optimization strategy

Abstract

The invention provides a full trajectory optimization design method based on a two-layer optimization strategy. The method comprises the following steps that 1, the total coverage time TCT of a vehicle to a ground target is set as a target function F(pai), and optimization parameters pai=[a,i,tm] are set; 2, target functions F(pai) of all individuals in a population are calculated through the optimization parameters pai=[a,i,tm] generated by a genetic algorithm; 3, if the precision of a maximum value, obtained in the step 2, of the total coverage time of the vehicle to the ground target meets the requirement or the iteration frequency exceeds the maximum iteration frequency, iteration stops, the step 4 is conducted, and otherwise, a new generation population is generated through the genetic algorithm, and the step returns to the step 2; 4, a whole course trajectory of the vehicle is obtained according to the optimization parameter pai=[a,i,tm] obtained when iteration stops in the step 3 and optimization variables corresponding to all the stages. According to the method, all the stages in the flight process can be effectively combined, the optimization parameters of all the stages are supplied, the optimization efficiency is improved, and the robustness is achieved.

Description

technical field [0001] The invention relates to an optimal design method for a full track of a vehicle. Background technique [0002] Spatial response tasks have received more and more attention. However, few research works can provide a suitable solution for fully reusable and partially reusable launch vehicles (RLV for short) to achieve space-responsive manipulation tasks. Edwin published Overview of SOV Concepts and Technology Need at the 39th AIAA / ASME / SAE / ASEE Joint Propulsion Conference and Exhibit in June 2003, which provided a global structural analysis method and pointed out several space control vehicles (SOV for short) Potential to meet spatial responsiveness goals. He noted the importance of establishing space superiority using RLVs to provide the ability to deliver payloads to enhance intelligence, surveillance and detection. Inspired by the theory of utilizing RLV for response detection tasks, a reproducible vehicle is needed for temporary control response t...

AI Technical Summary

Problems solved by technology

Since each stage of the entire voyage will have its own different dynamic equations and laws of motion, it can be optimized by a variety of standard nonlinear optimization strategies, but it is difficult to find a convergent solution for the entire trajectory with a single optimization method

The complexity of mission design parameters (such as target orbit semi-major axis, orbit inclination, orbit maneuver time, orbit reentry time) and control variables (such as angle of attack, roll angle, etc.) makes the optimization problem difficult

In addition, the long-term span of the detection task and the nonlinear characteristics of the dynamical system undergoing large-scale iterations make it difficult to guarantee the robustness of the design method.

Therefore, at present, there is no effective optimization strategy for optimizing the entire trajectory, but more for the optimization of one or several stages. The optimization method is very mature, but obviously it cannot meet the requirements of the entire trajectory optimization.

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