Robust flight control : a design challenge
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書誌事項
Robust flight control : a design challenge
（Lecture notes in control and information sciences, 224）
Springer, c1997
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
In October 1994, 22 organisations throughout Europe accepted a challenge to solve a specific robust flight control design problem. The results of that design challenge, presented at the GARTEUR Specialists' Workshop in Toulouse, France in April 1997, are reported here. Two flight control benchmarks are considered, based on the automatic landing phase of a large cargo aircraft and on the control of a military aircraft. Methods applied include: classical control; multi-objective optimisation; eigenstructure assignment; modal multi-model approach; LQ, Lyapunov and H'-techniques; '-synthesis; nonlinear dynamic inversion; robust inverse dynamics estimation; model predictive control and following; and fuzzy control. Involved in the definition of the benchmarks and the evaluation process have been representatives from the European aeronautical industry, bringing a strong link with flight control law design practice.
目次
Multi-objective parameter synthesis (MOPS).- Eigenstructure assignment.- Linear quadratic optimal control.- Robust quadratic stabilization.- H ? mixed sensitivity.- H ? loop-shaping.- ?-Synthesis.- Nonlinear dynamic inversion control.- Robust inverse dynamics estimation.- A model following control approach.- Predictive control.- Fuzzy logic control.- The RCAM design challenge problem description.- The classical control approach.- Multi-objective parameter synthesis (MOPS).- An Eigenstructure Assignment approach (1).- An Eigenstructure Assignment approach (2).- A model multi-model approach.- The Lyapunov approach.- An H ? approach.- A ?-synthesis approach (1).- A ?-synthesis approach (2).- Autopilot design based on the Model Following Control approach.- Flight management using predictive control.- A fuzzy control approach.- The HIRM design challenge problem description.- Design via LQ methods.- The H ? loop-shaping approach.- Design of stability augmentation system using ?-synthesis.- Design of a robust, scheduled controller using ?-synthesis.- Nonlinear dynamic inversion and LQ techniques.- The Robust Inverse Dynamics Estimation approach.- The industrial view.- Another view on the Design Challenge achievements.- Concluding remarks.
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