LEARNING OUTCOMES
After the course, the participant will understand:
- Dynamic process models using input-output and state-space representations;
- Process dynamics and stability of linear time-invariant process models;
- Controllability and observability of linear time-invariant process models;
- State-feedback control and the synthesis of linear quadratic regulators LQR;
- Optimal state estimation and the Kalman filter;
- Optimal estimation and control using linear quadratic Gaussian regulators LQG.
Credits: 5
Schedule: 21.10.2024 - 05.12.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Francesco Corona
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
We study the mathematical principles and the basic computational tools of state-feedback and optimal control to manipulate the dynamic behaviour of process systems. The course aims at understanding state-feedback control in process systems, while at the same time showing how this approach can be used in general application domains in chemical and bio-chemical engineering.
Assessment Methods and Criteria
valid for whole curriculum period:
Home assignments and/or project work, and exam.
Workload
valid for whole curriculum period:
Lectures (24h) and Exercises (24h)
Home assignments and independent study (80h)
Exam (4h)
DETAILS
Study Material
valid for whole curriculum period:
Process dynamics and control, by D. Seborg (2016);
Feedback systems: An introduction for scientists and engineers, by K. Åstrom and R. Murray (2010);
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
4 Quality Education
5 Gender Equality
6 Clean Water and Sanitation
7 Affordable and Clean Energy
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn II
2025-2026 Autumn IIRegistration:
A maximum number of 65 students is admitted to the course. Priority is given to degree students taking in the Chemical and Metallurgical Engineering MSc programme and the Chemical and Process Engineering major of the Chemical, Biochemical and Materials Engineering MSc programme. If space, other students (exchange students, other Aalto MSc students, doctoral students, etc) will be admitted to the course based on registration order.
A course implementation may be cancelled if the number of students enrolled to the course implementation does not meet the required minimum of five students. In the case of cancelled course implementations, the students enrolled to them will be provided with an alternative way of completing the course or advised to take some other applicable course.