ASE-1258 Introduction to Control, 4-6 cr
Additional information
The extended versions of 5-6 cr are especially for exchange students whose home university requires a wider course than that of 4 cr. The number of Lecture + Exercise hours for 4, 5 and 6 cr are 24+24, 30+30 and 36+36, respectively. The 5 cr version may be built in two different ways depending on the needs of the student. ASE-1258 is not for students who have or will have the credits of ASE-1130, ASE-1251, ASE-1250, ASE-1256, ASE-1257, ASE-1230 or any similar older 1st control course of TUT.
Person responsible
Terho Jussila
Lessons
| Study type | Hours | Time span | Implementations | Lecture times and places |
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| ASE-1258 2015-01 |
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Requirements
4 cr: examination of 12 topics, a practical lab (60-120min) and PC sessions 1-3 (each of 120min);
5 cr: examination of 15 topics, a practical lab (60-120min) and PC sessions 1- 6 (120, 120, 120, 60, 60 and 60min);
6 cr: examination of 18 topics, a practical lab (60-120min) and PC sessions 1- 8 (120, 120, 120, 60, 60, 60, 60, 60, 60 and 120 min).
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 and approximate simple dynamical models in time domain. In LTI (Linear Time Invariant) systems: can derive transfer function and state space models; can simplify block diagrams 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; masters a few synthesis and design techniques; 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. In the 6cr option design with state space methods, too.
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. Detailed Specifications and Concepts. | Alternate implementations of PI, PD and PID controllers. Modifications of PD and PID controllers. | |
| 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. Use of Matlab: Simulink simulation. Control System Toolbox analysis. Symbolic Toolbox. |
| 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. | ||
| 4. | Oscillations and their frequency response analysis. Analysis and design of stability, relative stability and sensitivity with frequency response. | ||
| 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. | Analog electronics implementation of filters, compensators and controllers. |
Instructions for students on how to achieve the learning outcomes
Please repeat concepts like limit, derivative, integral, complex number, vector, matrix, rank, inverse matrix, determinant on your own time or in the sessions organized by the teacher. Work 8-10 h for each topic and prepare yourself to the work sessions in advance as proposed in the instructions. Participate in Topic Exams. If it is not possible use SubExams as a 2nd plan. Try to avoid the need of a single Exam on all the topics in a session!
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Additional information about prerequisites
We need basic concepts like limit (lim), derivative, integral, complex number, vector, matrix. Repetitions of them are organized.
Correspondence of content
There is no equivalence with any other courses