Final project presentations are 10-15 minutes each and can be pre-recorded. The final project presentations will be presented during the final exam time (3 hrs) with a webinar link for remote participants. Following each presentation, there is an opportunity for the audience to ask questions with 5 minutes of Questions and Answers (Q+A).
The dynamic optimization course is divided into 4 sections including (1) modeling, (2) data, (3) estimation, and (4) control/optimization. The purpose of the progress reports is to give intermediate check-points throughout the course. The expectations for each progress report are discussed below.
The first project progress report should include a description of the input to output dynamic relationships. This should include the constants, parameters, variables, and equations of the dynamic system. This project progress report should show simulation results where a feasible (though not necessarily optimal) solution is obtained. The report should also give an update on the project timeline and discuss any factors that were identified in the project proposal relating to uncertainties. This progress report should also include a discussion of the relevant articles that were identified in the project proposal. The progress report should be the draft section of the final report that includes an introduction, literature review, and model description.
The second project progress report should include a discussion and results related to estimation and dynamic data (simulated or actual). Include a sensitivity analysis to show the steady state and dynamic relationships between the adjustable parameters and the measured (or controlled) variables. Show estimator results to recover unmeasured states or parameters from either simulated or physical data. If the project does not include physical measurements, include appropriate levels of noise and other real-data aspects such as drift, drop-out, and outliers. The progress report should be a draft section of the final report that includes parameter or state estimation results and discussion.
The third project progress report should include a discussion and results related to control and optimization. Include a sensitivity analysis to show the steady state and dynamic relationships between the manipulated variables and the controlled variables. Show simulated control and optimization results that achieve a best objective. For this third phase of the project, it is not necessary to show the estimator and controller working together. Uncorrupted data and full state feedback (all states assumed to be measured) are acceptable for this progress report. The progress report should be a draft section of the final report that includes control and optimization results and discussion.
An objective of this project is to encourage progress on research projects and publication in peer-reviewed conferences and journals. As such, the final project report can either be a report only for this course or a draft of a manuscript that is prepared for submission. The final project report should include the following elements:
The Research & Writing Center (3340 HBLL) is a free resource where trained consultants provide assistance on assignments. Schedule an appointment to receive writing help at all stages of the research and writing process.
Everton Colling of Petrobras shares his experience with GEKKO for modeling and nonlinear control of distillation.