Webinar

Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim

Webinar

Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim

Event Date & Time

Nov 3, 2022, 1:00 PM

Nov 3, 2022, 1:00 PM

ET

Speakers

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Event Date & Time

Nov 3, 2022, 1:00 PM

ET

Speakers

Share

Watch a step-by-step demonstration of a typical workflow for a control engineer with JuliaSim. Using a realistic case study of controlling a non-linear Research Civil Aircraft Model (RCAM), you’ll learn about:

  • Building the dynamic system model using ModelingToolkit

  • Trimming, linearization and the trim point

  • Formulation and solution of a closed-loop linear MPC model together with the non-linear observer and plant model

The new MPC surrogatization feature presented allows for fast, optimizer-free closed-loop control by learning the control law from data. With the toolkit, linear MPC problems can be solved at 4000 Hz, nonlinear MPC problems at 1000 Hz, and surrogatized MPC problems at 1,000,000 Hz.

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

Dr. Avinash Subramanian holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU). Before joining JuliaHub in January 2023, where he specializes in simulation, optimization, and control, he was a graduate researcher at the Process Systems Engineering Laboratory in the MIT Department of Chemical Engineering. Avinash also served as a Lecturer at NTNU from August to December 2022, where he co-taught a PhD course on Mixed-Integer and Nonconvex Optimization in collaboration with Professor Paul Barton (MIT). His expertise bridges advanced optimization methods and their applications in process systems, energy, and industrial digital twin technologies.

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

Dr. Avinash Subramanian holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU). Before joining JuliaHub in January 2023, where he specializes in simulation, optimization, and control, he was a graduate researcher at the Process Systems Engineering Laboratory in the MIT Department of Chemical Engineering. Avinash also served as a Lecturer at NTNU from August to December 2022, where he co-taught a PhD course on Mixed-Integer and Nonconvex Optimization in collaboration with Professor Paul Barton (MIT). His expertise bridges advanced optimization methods and their applications in process systems, energy, and industrial digital twin technologies.

Speakers

Dr. Fredrik Bagge Carlson leads the Dyad Control-systems team at JuliaHub. He holds a PhD in Automatic Control from Lund University, and has over 10 years of experience in the fields of modeling, control, system identification and robotics.

Dr. Avinash Subramanian holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU). Before joining JuliaHub in January 2023, where he specializes in simulation, optimization, and control, he was a graduate researcher at the Process Systems Engineering Laboratory in the MIT Department of Chemical Engineering. Avinash also served as a Lecturer at NTNU from August to December 2022, where he co-taught a PhD course on Mixed-Integer and Nonconvex Optimization in collaboration with Professor Paul Barton (MIT). His expertise bridges advanced optimization methods and their applications in process systems, energy, and industrial digital twin technologies.

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Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim

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Trimming, Linearization, and Model Predictive Control (MPC) Design with JuliaSim