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2015•Unpublished venueRequires access

Optimal target aiming maneuver for an advanced aircraft via timescale pseudospectral method

Liao Kaijun, Qian Kun, Hao Yan, Qian Zhengzai, Sun Yuqian

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Abstract

A two-timescale Chebyshev pseudospectral optimal control method, which can reduce the converted nonlinear programming (NLP) significantly, is proposed. The optimal aiming maneuver problem of an advanced aircraft, which is a six-degree-of-freedom trajectory problem, is solved by this two-timescale method. It is the first time that the six-degree-of-freedom equations are used to solve optimization of the flight trajectory problems.

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What this paper is about

A two-timescale Chebyshev pseudospectral optimal control method, which can reduce the converted nonlinear programming (NLP) significantly, is proposed. The optimal aiming maneuver problem of an advanced aircraft, which is a six-degree-of-freedom trajectory problem, is solved by this two-timescale method. It is the first time that the six-degree-of-freedom equations are used to solve optimization of the flight trajectory problems.

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Available abstract

A two-timescale Chebyshev pseudospectral optimal control method, which can reduce the converted nonlinear programming (NLP) significantly, is proposed. The optimal aiming maneuver problem of an advanced aircraft, which is a six-degree-of-freedom trajectory problem, is solved by this two-timescale method. It is the first time that the six-degree-of-freedom equations are used to solve optimization of the flight trajectory problems.

Key concepts: Pseudospectral optimal control, Trajectory, Gauss pseudospectral method, Trajectory optimization, Chebyshev pseudospectral method, Pseudo-spectral method, Control theory (sociology), Optimal control

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