2011
DOI: 10.4028/www.scientific.net/amm.110-116.5232
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Trajectory Optimization of Hypersonic Vehicle Using Gauss Pseudospectral Method

Abstract: The paper presents a gauss pseudospectral solution for the trajectory optimization problem of a hypersonic vehicle. Determination of optimal trajectory of a hypersonic vehicle is of great interest due to the different path and boundary conditions that need to be met for high accuracy. Recent researches show that pseudospectral methods are capable of providing high accuracy in computationally efficient manner. The hypersonic vehicle optimized here is accelerated through solid rocket propulsion to mach 3.5 and a… Show more

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Cited by 10 publications
(5 citation statements)
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“…There are many effective methods to solve NLP availability. Among them, sequential quadratic programming (SQP) is widely used because of its maturity (23,24) .…”
Section: The Basic Principle Of Gpmmentioning
confidence: 99%
“…There are many effective methods to solve NLP availability. Among them, sequential quadratic programming (SQP) is widely used because of its maturity (23,24) .…”
Section: The Basic Principle Of Gpmmentioning
confidence: 99%
“…Zhang and Chen [ 24 ] introduced an easy GPM for optimizing the reentry trajectory of common aero vehicle (CAV) satisfying all of the path constraints and control authority. Tawfiqur et al [ 25 ] and Xie et al [ 26 ] obtained the flight profile using multiphase implementation of the GPM. Yang and Sun [ 27 ] improved the GPM to solve the problem of minimum total heat and demonstrated that the approach is not sensitive to the initial value.…”
Section: Brief Reviewmentioning
confidence: 99%
“…In order to solve the optimal control problems, indirect method and direct method have been applied. By indirect method, the ascent trajectory optimization problem is transformed into Hamilton two‐point boundary value problem (TPBVP), which can be solved by finite difference, 17 finite element, 18 or Gauss pseudospectral method 19 . By contrast, indirect method can be applied onboard for ascent trajectory planning of spacecrafts.…”
Section: Introductionmentioning
confidence: 99%