To introduce the fundamentals of control theory and selected methodologies for linear contrrol systems analysis and design. To illustrate the application of key concepts and and methods to the control of multifaceted physical examples from different areas. To specify the requisites of a general control system in terms of an appropriate balance between closed loop stability, referencetracking, sensor noise and external distrubances attenuation, and robustness against plant model uncertainty. To perform controlsystems design using “root-locus” and Nyquist/Bode techniques. To understand key fundamental limitations to what can possiblybe achieved with control.
1) Introduction to feedback control: motivating examples and historical perspective
2) Modeling of physical systems: representative examples; dynamical systems linearization.
3) Control objectives: stability and performance; robust stability and performance in the presence of modelling uncertainty
4) Block diagrams: rules for block transformation and reduction.
5) Stability of linear time invariant systems; natural response.
6) Impact of feedback: reference tracking, disturbance and noise attenuation, steady state errors.
7) Control systems analysis and design using “root-locus”-based techniques; PID controllers.
8) Control systems analysis and design in the frequency domain using Nyquist/Bode techniques; gain and phase margins, stabilityin the presence of delays.
9) Lead and lag compensation techniques.
10) Introduction to control sysstems design using “loop-shaping” techniques.
11) Fundamental limitations to the performance achievable with feedback control.
50% continuous evaluation / 50% non-continuous evaluation
1. Feedback Control of Dynamic Systems, 8th Edition, G. Franklin, J. Powell, Abbas Emami-Naeini, 2019, Pearson
2. Feedback Systems: an Introduction for Engineers, Karl Astrom, Richard Murray, 2008, Princeton University Press
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