ASE-2117 Systems and Control, 5-7 cr
The extensions to 6-7 cr are available for ony exchange students whose home university requires more than 5cr.
|ASE-2117 2019-01||3 - 4||
Thinking, concepts, analysis and synthesis needed to control deterministic systems of various complexity, especially for LTI (Linear Time Invariant) systems in DT (Discrete-Time) but also for CT (Continuous-Time). The student should (for grade 3/5): 1. Recognize the basic concepts and elements of systems control needed and relate the methods studied to them. 2. Master identification of ARX models and model conversions (between CT and DT models, between state-space models and transfer function models.) 3. Know the similarities and differences in the CT and DT time domain and frequency domain theory of systems (due to elementary knowledge from a course of CT control) 4. Master Root-Locus Theory exluding angle rules. 5. Perform analysis of stability, controllability (reachability) and observability of a DT LTI state-space model. 6. Design and analyze LTI State-Feedback Controllers and LTI State Observers for LTI DT state-space plants 7. Recognize and handle obvious risks of poor control or computations. Grade (1/5): At least four of the goals listed are reached
|Content||Core content||Complementary knowledge||Specialist knowledge|
|1.||Linear Time Invariant. Elements of systems control. Non-experimental Modelling. Model conversions. Simulation. Similarities and Differences of CT systems and DT systems. Nyquist-Shannon Sampling Theorem.|
|2.||Elementary Block Diagram. z Transform, z Transfer Function, Operator Transfer Functions. State-space Models.||Stability Tests of Schur-Cohn, Jury.|
|3.||Stability, Root Locus, Controllability, Observability. Möbius-Routh Stability Test. Intersample behavior.|
|4.||Analysis and Synthesis of Feedback Controllers. Root Locus.|
|5.||State-Feedback Control, State Observers and Observer Based Feedback Control using pole placement designs including analysis of Relative Stability and Sensitivities.|
|6.||+1cr: Least Squares and Weighted Least Squares Identification. Recursive Identification. Self-Tuning Control. Square Root Algorithms.|
|7.||+1cr: Pole Placement Design using Transfer Functions. Generalized Predictive Control. Implementation of DT controllers, compensators and filters. Anti-windup.|
Instructions for students on how to achieve the learning outcomes
Sufficient work early enough, prestudies before the sessions, Math repetitions on own time and together, active participation in contact teaching sessions.
Numerical evaluation scale (0-5)
|ASE-1259 Introduction to Control||Mandatory|
Additional information about prerequisites
Even the older courses ASE-1258/1257/1256 as well as any 1st control course of university level on analog control (like ASE-1252/1251/1250, ASE-1131/1130) form a sufficient background.
Correspondence of content
|ASE-2117 Systems and Control, 5-7 cr||ASE-2116 Systems and Control, 5 cr|