Synthesis of robust control systems for a hypersonic aircraft

Christopher I. Marrison; Robert F. Stengel

Synthesis of robust control systems for a hypersonic aircraft

Christopher I. Marrison, Robert F. Stengel

Mechanical & Aerospace Engineering

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

Stochastic Robustness Analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions.

Original language	English (US)
Pages (from-to)	3324-3329
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	4
State	Published - 1994
Event	Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4) - Lake Buena Vista, FL, USA Duration: Dec 14 1994 → Dec 16 1994

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Cite this

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year = "1994",

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AU - Marrison, Christopher I.

AU - Stengel, Robert F.

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N2 - Stochastic Robustness Analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions.

AB - Stochastic Robustness Analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions.

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M3 - Conference article

AN - SCOPUS:0028749103

SN - 0191-2216

VL - 4

SP - 3324

EP - 3329

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4)

Y2 - 14 December 1994 through 16 December 1994

ER -

Synthesis of robust control systems for a hypersonic aircraft

Abstract

All Science Journal Classification (ASJC) codes

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