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<journal-id>International Journal of Aerospace and Lightweight Structures</journal-id>
<publication_date>2013</publication_date>
<volume>2</volume>
<issue>1</issue>
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<title-group>
<doi>10.3850/S201042862013000574</doi>
<article-title>Multiphase Trajectory Optimization for Hypersonic Vehicle Using Gauss Pseudospectral Method</article-title>
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<author>Yuyang Shi<sup>1,a</sup>, Zi-ming Wan<sup>2</sup> and Min Xu<sup>1</sup></author>


<author-citation>Shi, Yuyang; Wan, Zi-ming; Xu, Min</author-citation>

<aff><sup>1</sup>Department of Astronautics, Northwestern Polytechnical University, Xi&#8217;an, 710072, China.</aff>

<email><a href="mailto:sunrainny@163.com"><sup>a</sup>sunrainny@163.com</a></email>

<aff><sup>2</sup>The Second System Design Department of the Second Research Academy of CASIC, Beijing, 100854, China.</aff>



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<abstract>
<title>ABSTRACT</title>
<p>This paper shows the application of the Gauss pseudospectral method (GPM) to solve a
multiple phase maximum range trajectory optimization problems for hypersonic vehicles
in the presence of constraints such as dynamic pressure and heat flux. Unlike most
trajectory optimization problems, the path of hypersonic vehicle has to undergo large
change in altitude and associated aerodynamic conditions. The trajectory optimization of
hypersonic vehicle is a nonlinear, path constrained and terminal constraint discontinuous
optimal control problem. The Gauss pseudospectral method is based on using global
Lagrange interpolating polynomial approximation to the dynamic equation at a set
of Gauss collocation points, it has been shown to be accurate numerical methods and
possesses fast convergence characteristic for solving optimal control problems. To solving
multiphase optimal control problem, a piecewise pseudospectral method is proposed.
Firstly, dynamic equation and optimization model are described. Then, control variables
and state variables are parameterized, and trajectory optimization problem is transcribed
into a mathematical programming problem using the Gauss pseudospectral method. The
resulting parameter optimization problem is solved by Sequential Quadratic Program-
ming algorithms. To verify the precision of optimal solution, dynamic equations are
solved with a fourth-order Runge-Kutta method, which angle of attack obtained from
the optimization. The simulation results show that the Gauss pseudospectral method is
appropriate for solving multiple-phase trajectory optimization problem, and the method
is not sensitive to initial guess, have a high accuracy solution and converge faster.</p>

<p><italic>Keywords: Dynamic equation, Gauss pseudospectral, Hypersonic vehicle, Trajectory
optimization.</italic></p>
</abstract>
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