Lino Guzzella: Catalogue data in Autumn Semester 2020 |  |
| Name | Prof. em. Dr. Lino Guzzella |
| Field | Thermotronik |
| Address | Inst. Dynam. Syst. u. Regelungst. ETH Zürich, ML K 40.2 Sonneggstrasse 3 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 54 48 |
| lguzzella@ethz.ch | |
| Department | Mechanical and Process Engineering |
| Relationship | Professor emeritus |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 151-0073-30L | ARIS - Rocket Development  This course is part of a one-year course. The 14 credit points will be issued at the end of FS2021 with new enrolling for the same Focus Project in FS2021. For MAVT BSc and ITET BSc only. Prerequisites for the focus projects: a. Basis examination successfully passed b. Block 1 and 2 successfully passed For enrollment, please contact the D-MAVT Student Administration. | 0 credits | 15A | L. Guzzella, M. Zeilinger | |
| Abstract | Students develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc). | ||||
| Objective | The various objectives of the Focus Project are: - Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester - Team organization, work in teams, increase of interpersonal skills - Independence, initiative, independent learning of new topic contents - Problem structuring, solution identification in indistinct problem definitions, searches of information - System description and simulation - Presentation methods, writing of a document - Ability to make decisions, implementation skills - Workshop and industrial contacts - Learning and recess of special knowledge - Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM) | ||||
| Prerequisites / Notice | This Focus-Project is supervised by the following lecturers: Siegwart, R., ASL Haas, R., ASL Beardsley P., Disney Research Zurich | ||||
| 151-0573-00L | System Modeling  | 4 credits | 2V + 1U | L. Guzzella | |
| Abstract | Introduction to system modeling for control. Generic modeling approaches based on first principles, Lagrangian formalism, energy approaches and experimental data. Model parametrization and parameter estimation. Basic analysis of linear and nonlinear systems. | ||||
| Objective | Learn how to mathematically describe a physical system or a process in the form of a model usable for analysis and control purposes. | ||||
| Content | This class introduces generic system-modeling approaches for control-oriented models based on first principles and experimental data. The class will span numerous examples related to mechatronic, thermodynamic, chemistry, fluid dynamic, energy, and process engineering systems. Model scaling, linearization, order reduction, and balancing. Parameter estimation with least-squares methods. Various case studies: loud-speaker, turbines, water-propelled rocket, geostationary satellites, etc. The exercises address practical examples. | ||||
| Lecture notes | The handouts in English will be sold in the first lecture. | ||||
| Literature | A list of references is included in the handouts. | ||||
| 151-0591-00L | Control Systems I | 4 credits | 2V + 2U | L. Guzzella | |
| Abstract | Analysis and controller synthesis for linear time invariant systems with one input and one output signal (SISO); transition matrix; stability; controllability; observability; Laplace transform; transfer functions; transient and steady state responses. PID control; dynamic compensators; Nyquist theorem. | ||||
| Objective | Identify the role and importance of control systems in everyday life. Obtain models of single-input single-output (SISO) linear time invariant (LTI) dynamical systems. Linearization of nonlinear models. Interpret stability, observability and controllability of linear systems. Describe and associate building blocks of linear systems in time and frequency domain with equations and graphical representations (Bode plot, Nyquist plot, root locus). Design feedback controllers to meet stability and performance requirements for SISO LTI systems. Explain differences between expected and actual control results. Notions of robustness and other nuisances such as discrete time implementation. | ||||
| Content | Modeling and linearization of dynamic systems with single input and output signals. State-space description. Analysis (stability, reachability, observability, etc.) of open-loop systems. Laplace transformation, systems analysis in the frequency domain. Transfer functions and analysis of the influence of its poles and zeros on the system's dynamic behavior. Frequency response. Analysis of closed-loop systems using the Nyquist criterion. Formulation of performance constraints. Specification of closed-loop system behavior. Synthesis of elementary closed-loop control systems (PID, lead/lag compensation, loop shaping). Discrete time state space representation and stability analysis. | ||||
| Lecture notes | Analysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag. The textbook is offered for sale at the beginning of the semester. In addition, the slides of the lecture will be put online. | ||||
| Literature | Analysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag. The textbook is offered for sale at the beginning of the semester. | ||||
| Prerequisites / Notice | Basic knowledge of (complex) analysis and linear algebra. | ||||