IPT Logotipo do IPT

Engenharia Eletrotécnica - Especialização em Controlo e Eletrónica Industrial

Optimal and Adaptive Control

<< back to Curriculum Plan

6 ECTS; 1º Ano, 2º Semestre, 28,0 T + 28,0 PL + 5,0 OT + 2,0 O , Cód. 30197.

Lecturer

(1) Docente Responsável
(2) Docente que lecciona

Prerequisites
Not applicable.

Objectives
General knowledge of control, including most common techniques and methods in MIMO control (multivariable) and state-space approaches; analysis and design skills through practical applications of the different techniques such as state estimate using Kalman Filter; design optimal and adaptive systems

Program
1 - Introduction and Reviews: Controllability and observability; design of state feedback and output feedback control: Ackermann's formula.
2 - Regulator Design and Reference Following: Controller with state observer; Predictor estimator; Current estimator. Reference inputs for full-state feedback systems; reference input with estimators; reference input with output error command; comparison of the estimator structure and classical methods.
3 - Disturbances and Control by State Augmentation: Disturbances estimation; Control by state augmentation, including the process model; Control by state augmentation, including the disturbances model; Integral control action.
4 - Adaptive Control: Least Squares Method; parameter estimate.
5 - MIMO Systems and Optimal Control: Time-varying optimal control; Linear quadratic regulator (LQR) steady-state optimal control; Optimal estimation based on Kalman Filter; Multivariable Control Design.
6 - Brief introduction to system identification techniques.

Evaluation Methodology
Exam (50%) and practical assignments (50%). The student must obtain a minimum grade of 8 marks (on a scale of 0 to 20) in the exam and a minimum grade of 9.5 marks (on a scale of 0 to 20) in the practical assignments. The average of the two components must be greater than or equal to 9.5 marks (on a scale of 0 to 20).

Bibliography
- Ogata, K. (1994). Discrete-time Control Systems. USA: Prentice-Hall
- Wittenmark, H. e Astrom, K. (1997). Computer-controlled systems: theory and design. USA: Prentice-Hall
- Workman, M. e Powell, D. e Franklin, G. (1998). Digital Control of Dynamic Systems. USA: Addison-Wesley

Teaching Method
Lectures supported by illustrative cases. Theoretical-practical lessons focused on concept application and problem-solving. Practical works proposed to the students.

Software used in class
Matlab / Simulink

 

 

 


<< back to Curriculum Plan
Elemento gráfico

News | Agenda

NP4552
Financiamento
b-on
santander
erasmus
catedra
portugal2020
centro2020
compete2020
crusoe
fct
feder
fse
poch
portugal2030
poseur
prr
republica
UE next generation
Centro 2030
Lisboa 2020
co-financiado