(Created 2011-09-01.)

AUTOMATIC CONTROL, BASIC COURSE | FRT010 |

**Aim**

The aim of the course is to give knowledge about the basic principles of feedback control. The course will give insight into what can be achieved with control, and the possibilities and limitations. The course covers linear continuous-time systems.

*Knowledge and understanding*

For a passing grade the student must

- be able to define the fundamental concepts of control
- be able to linearise nonlinear dynamical models
- be able to compute the relations between dynamical models in the form of transient responses, transfer functions, differential equations on state-space form, and frequency responses described with Bode or Nyquist diagrams
- be able to analyse dynamical systems with respect to stability, robustness, stationary characteristics, controllability, and observabilility
- be able to implement controllers using discretization of analog controllers

*Skills and abilities*

For a passing grade the student must

- be able to design controllers from given specifications on robustness and performance based on models on state-space form, transfer function form, Bode diagrams or Nyquist diagrams
- be able to design controllers based on cascade connections, feedforward, and delay compensation
- be able to evaluate controllers by analysing transient and frequency responses, and via laboratory experiments on real processes

*Judgement and approach*

For a passing grade the student must

- understand relationships and limitations when simplified models are used to describe complex dynamical systems
- show ability for teamwork and collaboration at laboratory exercises

**Contents**

Introduction; overview of control; describing dynamical systems using time-invariant ordinary differential equations, transfer function, frequency responses, Bode and Nyquist diagrams; relations between different representations; controllability and observability; analysis of feedback systems, signal following and disturbance rejection; stability; overview of stability analysis methods: root locus and Nyquist criterion; practical stability; phase and amplitude marginals; synthesis and implementation of controllers; specifications; control principles and controller structures: PID control, cascade control, feedforward; synthesis of systems with a given transfer function: pole-placement through state feedback and output feedback; reconstruction suing Kalman filter; Bode and Nyquist compensation; delay compensation; application examples

**Literature**

Glad T, Ljung L: Reglerteknik grundläggande teori, Studentlitteratur, 2006 or

Åström KJ, Murray RM: Feedback systems, Princeton 2008.

Compendium in Control, Hägglund, T.

Compendia with examples, formulas and instructions for laboratory work.