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Course Catalog 2012-2013
ASE-1256 Introduction to Control and Automation, 6 cr |
Additional information
The third weekly exercise hour is for repetition of pre-knowledge and new topics. A shorter course ASE-1257 is available for MSc Degree Program of Machine Automation. The student can take only one of the courses ASE-1256, ASE-1257, ASE-1250. The material may vary from year to year. Extra points are available from a voluntary PC session PCG and from a Guest Lecture or another session. Active participation on the last lecture and exercise frees the student from examination of their topic.
Person responsible
Terho Jussila
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
LAB1 (1h), LAB2 (1h), six PC Exercises (PCA to PCF,each of 2h), DEMO (1h), examination.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
Additional weekly exercise hour available for repetition of old and new knowledge.
Learning outcomes
After the course the student knows the potential and limitations of decision & control both within and beyond actual control engineering ; knows typical control structures , and connections and the roles nature of the control system components ; can derive simple dynamical models, simplify models and perform model conversations ; masters typical system terms and concepts including performance specifications ; is able to describe and analyze control systems and other dynamical systems ; understands , and can analyze and even limitedly design stability, damping, accuracy and speed of systems with standard methods.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Introduction to control and controllers. Specifications. Open loop, feedforward and feedback control. Block diagrams. Introduction to Digital Control. | Introduction to decoupling multivariable control. | |
| 2. | Modelling and simulation (using time domain model presentations). Equilibrium, linearization, sensitivity. State space models and their basic theory. | Matlab skills including Simulink use. | |
| 3. | Laplace transform. Inverse Laplace Transform. Polynomial and transfer function models. Signal Flow Graph. Simplification of block diagrams. | Matlab skills | |
| 4. | Stability concepts . Routh Test. Degree of stability. Root Locus. | Matlab skills | |
| 5. | Oscillations and their modelling with frequency response. Analysis of nominal and robust stability with Frequency Response Methods. Nyquist Stability Theorem. Designing robust stability. | Matlab skills | |
| 6. | Stationary accuracy (including robustness study). Transient performance (including robustness study). | Matlab skills |
Evaluation criteria for the course
Usual
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Additional information about prerequisites
Satisfactory knowledge of lim values, derivatives, integrals and complex numbers assumed.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |