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Rapid Trajectory Optimization for Flight Vehicles with Complex Constraints

Author: XiaMeng
Tutor: DuanGuangRen；JiangCangHua
School: Harbin Institute of Technology
Course: Control Science and Engineering
Keywords: Trajectory Optimization Optimal Control Legendre pseudo- spectral method Reentry Hypersonic vehicle
CLC: V249
Type: Master's thesis
Year: 2010
Downloads: 229
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Abstract


This article looks at the new gliding reentry vehicle design phase of the program reentry trajectory optimization problem. Experienced during reentry vehicle height and flight speed across a larger range, and by the heat and overload and other aspects of strict constraints , while hypersonic reentry flight path of the control variable is very sensitive , which gives our research with to the challenge. Rapid generation of aircraft trajectory , can be more easily deal with any emergencies, so it has great research value. The main work : First , according to the basic assumptions , the establishment of vehicle dynamics, kinematics equations . According to a general aviation aircraft established a set of data aerodynamic models . Then analyzes illustrate reentry vehicle needs to meet constraints and heat overload constraints. Equations of motion and constraints made ??dimensionless after treatment , has been the largest range trajectory optimization optimal control problem . Secondly, discusses several Legendre polynomials based pseudo- spectral method similarities and differences. Based on what we want to solve the practical problems highlighted Legendre pseudo- spectral method and application of the basic principles of this method to solve the problem of optimal control implementation steps . Then, the trajectory optimization problem previously obtained through Legendre pseudo- spectral method into a standard nonlinear programming problem . The final decision as to MATLAB for solving constrained nonlinear programming problem powerful tool in dealing with the issue of using mesoscale sequential quadratic programming algorithm. Simulation results verify the effectiveness of the algorithm , and simulation results are briefly analyzed . Finally, to further improve the accuracy of the solution without unnecessary computational burden trajectory optimization using sub- range . Original track at specific energy points to segment . On the whole trajectory optimization , two-stage and three-stage trajectory optimization trajectory optimization simulation results were compared and analyzed , it can be concluded : Multi- segment trajectory optimization can increase the range, and has a higher computational efficiency and accuracy.

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CLC: > Aviation, aerospace > Aviation > Aircraft instrumentation,avionics, flight control and navigation > Flight control system and navigation
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