Robust Linear Design for Flight Control Systems with Operational Constraints
Marcel Menner, Eugene Lavretsky

TL;DR
This paper introduces a systematic design method for robust linear flight controllers that satisfy operational constraints, ensuring safety, robustness, and anti-windup features in aircraft control systems.
Contribution
It develops a novel control design framework using Nagumo Theorem and Control Barrier Functions to guarantee constraint satisfaction and robustness in flight control systems.
Findings
Ensures constraint satisfaction with continuous piecewise-linear feedback.
Maintains gain and phase margins comparable to unconstrained controllers.
Validates effectiveness through nonlinear aircraft simulations.
Abstract
This paper presents a systematic approach for designing robust linear proportional-integral (PI) servo-controllers that effectively manage control input and output constraints in flight control systems. The control design leverages the Nagumo Theorem and the Comparison Lemma to prove constraint satisfaction, while employing min-norm optimal controllers in a manner akin to Control Barrier Functions. This results in a continuous piecewise-linear state feedback policy that maintains the analyzability of the closed-loop system through the principles of linear systems theory. Additionally, we derive multi-input multi-output (MIMO) robustness margins, demonstrating that our approach enables robust tracking of external commands even in the presence of operational constraints. Moreover, the proposed control design offers a systematic approach for anti-windup protection. Through flight control…
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