Control of Mechanical Systems
Graduate Course (taught yearly during the 1st semester), MEC2358 - CONTROLE DE SISTEMAS MECANICOS, 2019
Master the skills necessary to design closed-loop systems tipically found in mechanical applications such as servomechanisms and vibration mitigation.
Goals
The goals of the course are to get proficient with
- The design of linear control loop systems using frequency and time domain methods
- Model predictive control for nonlinear systems and its hyerarchical formulations
in applications typical of Mechanical Engineering, such as servomechanisms and vibration mitigation.
Syllabus
- Representations for linear and nonlinear dynamic systems
- Analysis of dynamic systems
- Root locus
- Pole placement
- Model predictive control
- Mechanical Engineering applications of feedback systems
Evaluation
The evaluation will be
- Written exams
- Final project (presentation + report)
References
ASTROM, K.; WITTENMARK, B. Computer-controlled systems. 3rd Ed. Upper Saddle River, NJ: Prentice Hall, 1997.
DORF, R. C.; BISHOP, R. H. Modern Control Systems, 12th Ed. Upper Saddle River, NJ: Prentice Hall, 2011.
FRANKLIN, G. F.; POWELL, J. D.; EMAMI-NAEINI, A. Feedback Control of Dynamic Systems. 8a Ed. New York, NY: Pearson, 2019.
NISE, N. S. Control Systems Engineering. 7th Ed. John Wiley & Sons: Hoboken, NJ, USA, 2015.
OGATA, K. Modern control engineering. 5th Ed. Upper Saddle River, NJ: Prentice Hall, 2010.
RAWLINGS, J. B.; MAYNE, D. Q.; DIEHL, M. M. Model Predictive Control: Theory, Computation, and Design. Nob Hill Publishing, LLC, Madison, Wisconsin, USA, 2nd edition, 2017.
Invited Talks/Seminars
Eng. Reneu Andrioli (Embraer): Modelagem e Leis de Controle de Sistemas Aeronáuticos
Previous exams
2022.1 (undergrad)
Exam 1 | Exam 1 Solutions |
2021.2 (undergrad)
Exam 1
Exam 2
2021.1
2020.1
2019.1
Exam 1 | Exam 1 Solutions |
Exam 2 | Exam 2 Solutions |