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Course Catalog 2014-2015
ASE-1257 Introduction to Control, 4 cr |
Additional information
The course material may vary from year to year. A few extra points are available from e.g. voluntary PC sessions and a Guest Lecture.
Person responsible
Terho Jussila
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
A practical LAB work of 60-90 minutes, a practical DEMO of 45 minutes, Matlab sessions PC1, PC2, PC3 and PC4 of 90 minutes each, examination.
Completion parts must belong to the same implementation
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 as well as 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; is able to analyze potential stability and performance risks due to uncertainty and guard against them; can exploit use Matlab, Simulink, Control System Toolbox and Symbolic Toolbox or another similar enough software in the tasks mentioned; is able to communicate on these things with students and engineers educated elsewhere.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Introduction to control systems. Rough specifications. Open loop, feedforward and error feedback control. Block diagrams. PID control with feedforward compensation. Filtering. Introduction to Digital Control. Detailed Specifications and Concepts. | Alternate implementations of PI, PD and PID controllers. Modifications of PD and PID controllers. | MS Excel for simulation of digital control. State-Feedback control. |
| 2. | Modelling and simulation. Equilibrium, linearization, sensitivity. Standard form of a linear state space model. Laplace transform. Polynomial and transfer function models. Simplification of block diagrams. | Empirical modelling. Eigenfunction derivations of transfer functions. | Derivation of an example Distributed Parameter model. Derivation of polynomial models from those of sub-systems. Simulink simulation. Control System Toolbox (of Matlab). Symbolic Toolbox (of Matlab). MS Excel for simulation of digital control. |
| 3. | Observability and Controllability. Minimum realization. Eigenvalues, poles, zeros. Internal and external stability. Inverse of a rational Laplace Transform. On convergence and boundedness of the signals. Routh Test for asymptotic stability. | Root Locus (as a concept only). | Numerical inversion of a non-rational Laplace Transform. Extension of Routh Test for marginal stability. |
| 4. | Oscillations and their frequency response analysis. Analysis and design of stability, relative stability and sensitivity with frequency response. | Nichols diagram. | MS Excel for frequency response studies. Nichols Charts. |
| 5. | Nominal and robust stationary accuracy. Nominal and robust performance. Performance indices for step responses. Derivation and implementation of compensator and controller structures using functional blocks. | Integral Performance Indices IE, IAE. Two-Degree-of-Freedom Control. Reliable implementations of compensator and controller structures using elementary blocks. | Analog electronics implementation of filters, compensators and controllers. |
Instructions for students on how to achieve the learning outcomes
Usual
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Feedback Systems | K. J. Åström & R. M. Murray | 978-0-691-13576-2 | Only partially to exams. | Yes | English | |
| Book | Modern Contol Systems | R. C. Dorf & R. M. Murray | Chapter 1 of Edition 10, 11 or 12 will be used. Otherwise this may serve e.g. as a good hand book and source of many additional exercise problems. | Yes | English | ||
| Summary of lectures | LAB & PC instructions | Terho Jussila | Available in pdf form in POP | Yes | English | ||
| Summary of lectures | Lecture Notes | Terho Jussila | Available in pdf form in POP. | Yes | English | ||
| Summary of lectures | Week Exercise Q & A | Terho Jussila | Available in pdf form in POP | Yes | English | ||
| Summary of lectures | No | English |
Additional information about prerequisites
Satisfactory knowledge of lim, 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 |
| ASE-1257 is a course with 24 lecture hours, 24 exercise hours, 1 LAB hour, 8 PC hours plus exams. Sessions with "ASE-1256:" are not included in ASE-1257 but may be taken bý students who want to replace ASE-1257 of 4cr to ASE-1256 of 6cr due to a request of their home uni. Course administrator: Associate Professor Terho Jussila. | |||
| Spring 2015 implementation without lecture and pen-and-paper exercise sessions but with the compulsory LAB, PC and exam sessions. A wider course ASE-1256 of 6 cp is available on a special request by the student. | |||
| Spring implementation without lecture and pen-and-paper exercise sessions but with the compulsory LAB, PC and exam sessions. |