Design & Control

Optimal control and its use for aerospace system design.

Overview

With numerous variable parameters and hard constraints amid nonlinear aerodynamics, control and design of aerospace systems is a challenging task. Optimization methods can help to search for a control or design solution which both satisfies constraints as well as offers a trade-off between multiple desired performance indicators. However, the computational cost for solving large optimization problems has been a limiting factor for the use of optimization-based approaches in aerospace systems. In our research, we combine nonlinear optimal control with results from variational analysis as well as viability of dynamic systems to develop advanced control and design methods.

Evaluation of a nonlinear optimal control problem within a multidisciplinary design optimization scheme. ©2023 by Cunis, Kolmanovsky, & Cesnik

Publikationsliste aus dem Themengebiet Design & Control

  1. T. Cunis, I. Kolmanovsky, und C. E. S. Cesnik, „Integrating Nonlinear Controllability into a Multidisciplinary Design Process“, Journal of Guidance, Control, and Dynamics, Jan. 2023, doi: 10.2514/1.G007067.
  2. R. M. Bertolin, G. C. Barbosa, T. Cunis, I. Kolmanovsky, und C. E. S. Cesnik, „Gust Rejection of a Supersonic Aircraft During Final Approach“, in AIAA SciTech Forum 2022, in AIAA SciTech Forum 2022. San Diego, CA, 2022. doi: 10.2514/6.2022-2174.
  3. T. Cunis, I. Kolmanovsky, und C. E. S. Cesnik, „Control Co-Design Optimization: Integrating nonlinear controllability into a multidisciplinary design process“, in AIAA SciTech Forum 2022, in AIAA SciTech Forum 2022. San Diego, CA, 2022. doi: 10.2514/6.2022-2176.
  4. R. Schieni, M. Simsek, T. Cunis, O. Bilgen, und L. Burlion, „Control of Bistable Structures Using a Modified Hybrid Position Feedback Controller“, in AIAA SciTech Forum 2022, in AIAA SciTech Forum 2022. San Diego, CA, 2022. doi: 10.2514/6.2022-0922.
Dieses Bild zeigt Torbjørn Cunis

Torbjørn Cunis

Dr.

Akademischer Rat auf Zeit / Gruppenleiter Aerospace Control Systems & Optimization

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