Log-Linear Dynamic Inversion Control With Provable Safety Guarantees in Lie Groups

• 成果类型: Article
• 署名作者: Lin, Li-Yu; Goppert, James; Hwang, Inseok
• 署名单位: Purdue University System; Purdue University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3369549
• 发表日期: 2024
• 页码: 5591-5597
• 关键词: Algebra; nonlinear dynamical systems; Vehicle dynamics; vectors; trajectory; Nonlinear distortion; Atmospheric modeling; Dynamic inversion control; Lie group theory; log linearization; mixed-invariant systems; safety verification

摘要

In this article, we use the derivative of the exponential map to derive the exact evolution of the logarithm of the tracking error for mixed-invariant systems, a class of systems capable of describing rigid body tracking problems in Lie groups. In addition, we design a log-linear dynamic inversion-based control law to remove the nonlinearities due to spatial curvature and enhance the robustness of the controller. We apply linear matrix inequalities to bound the tracking error given a bounded disturbance amplified by the distortion matrix and leverage the tracking error bound to create flow pipes. To demonstrate the usefulness of our method, we show its application with urban air mobility) scenarios using a simplified kinematic aircraft model and polynomial-based path planning methods.