Title:
TOWARDS TRACTABLE METHODS FOR FORMAL VERIFICATION OF AUTONOMY IN AEROSPACE SYSTEMS

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Klett, Corbin
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Feron, Eric
Chen, Yongxin
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Abstract
Formal verification techniques for control systems are developed and applied to realworld aerospace systems, including experimental platforms as well as mathematical models that contain features closely resembling those found in real systems. Though prolific in academia, these analysis techniques are not prevalent in industry, where system-level requirements are commonly validated by rudimentary measures of system robustness such as gain and phase margin as well as by extensive simulation and testing. Conventional methods have proven their efficacy for the certification of safety-critical systems but are also incapable of exhaustively testing a system’s behaviors. Integrating more advanced mathematical techniques into system design and analysis workflows could enable additional autonomy capabilities, improve safety, and decrease development, operating, and certification costs. The verification strategies developed and demonstrated in this work rely on key results from nonlinear systems theory, real algebraic geometry, and convex optimization. First, a method for constructing homogeneous polynomial Lyapunov functions is presented for the class of nonlinear systems that can be represented by a linear time-varying or a switchedlinear system. Procedures are developed that produce improved certificates of set invariance, bounds on peak norms, and system stability margin. Additionally, an algorithm that uses a Lyapunov function certificate to search for a worst-case trajectory is developed and applied to several aerospace examples, including an attitude-controlled spacecraft. Characterization of the safe operating envelope for this spacecraft is demonstrated using Lyapunov theory. This result is integrated into a run-time assurance algorithm, which is shown to significantly increase the vehicle’s operational capabilities as demonstrated on an experimental hardware platform. Finally, strategies are proposed for the formal analysis of gas turbine engine control systems that offer advantages over some conventional practices.
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Date Issued
2022-01-12
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Dissertation
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