Trimming, Linearization and Model Predictive Control Design with JuliaSim - Aircraft Control Systems

Watch a technical webinar where Dr. Fredrik Bagge Carlson and Dr. Avinash Subramanian walk through a control engineering workflow using JuliaSim, demonstrating advanced control techniques on a non-linear Research Civil Aircraft Model (RCAM). Learn how to build dynamic system models with ModelingToolkit, perform trimming and linearization around trim points, and implement closed-loop linear Model Predictive Control (MPC) with non-linear observer and plant models. Explore the groundbreaking MPC surrogatization feature that enables ultra-fast optimizer-free closed-loop control through data-driven learning, achieving impressive performance benchmarks - linear MPC at 4000 Hz, nonlinear MPC at 1000 Hz, and surrogatized MPC at 1,000,000 Hz. Gain insights into JuliaSim's next-generation simulation capabilities that combine Scientific Machine Learning (SciML) with equation-based digital twin modeling. Basic familiarity with Model Predictive Control concepts and related fields is recommended for following the technical content.