Lecture

Offset-free tracking: Necessary conditions and Feedforward compensation

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In course

ME-422: Multivariable control

This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embe ...

Description

This lecture covers the concept of offset-free tracking in multivariable control, focusing on necessary conditions and feedforward compensation to reject disturbances and achieve constant setpoints. The instructor explains the problem setup, steady-state analysis, and the importance of meeting necessary steady-state conditions for offset-free tracking. Different design approaches, such as feedforward compensation and disturbance estimation, are discussed. The lecture also delves into the steady-state condition for offset-free tracking and the unique equilibrium given by the system. Various methods and architectures for designing LTI controllers to ensure offset-free tracking are presented, emphasizing the importance of system properties and stability during transients.

Instructor

Giancarlo Ferrari Trecate

Expertise Automatic control, Dependable control, Neural-network Control, Machine learning, Microgrids, Hybrid systems Mission See the webpage of the DECODE (Dependable Control and Decision) group. Teaching & PhD PhD Students Laura Meroi, Julien Pallage, Nicolas Léo Pierre Kirsch, Simone Baratto, Daniele Martinelli, Riccardo Cescon, Jakob Nylöf, Sabri El Amrani Past EPFL PhD Students Pulkit Nahata, Mustafa Sahin Turan, Baiwei Guo, Jean-Sébastien Brouillon, Clara Galimberti, Andrea Martin, Muhammad Zakwan,

Official source

Ontological neighbourhood

Information engineering

Control theory and engineering: Control theory

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