Module Code - Title:
EE4214
-
CONTROL 1
Year Last Offered:
2025/6
Hours Per Week:
Grading Type:
N
Prerequisite Modules:
MA4001
MA4002
MA4003
Rationale and Purpose of the Module:
The module introduces students to some basic control theory, Dynamic System Modelling, open- and closed-loop systems, signal flow graphs, time response of first and second order systems. This module also gives students a basic introduction (from the control perspective to support the control theory and dynamic systems modelling) to some of the basic devices used in control, including actuators, sensors and transducers.
Syllabus:
Dynamic System Modelling: Laplace Transform method, open and closed loop systems, signal flow graphs, transfer functions, time response of first and second order systems.
Laboratory Work: Modelling and simulation of dynamic systems using Matlab Simulink and LabVIEW. Basic laboratory exercises, including data acquisition from sensors.
Introduction to instrumentation. Sensor characteristics. Signal conditioning. Review of typical sensors.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
1. Demonstrate how to obtain equations of motion for simple mechanical/electrical systems.
2. Develop the general principle of how to build simulation diagram for dynamic systems described by a set of differential equations. Demonstrate this principle using simulation tools like Matlab or LabVIEW.
3. Illustrate analogies that exist between mechanical and electrical systems.
4. Explain and demonstrate how to draw the signal flow graph from a set of equations or simulation diagram. Explain Mason's rule for finding the transfer function between any system input and output.
5. Define and explain sensitivity of transfer function to variation in a parameter.
6. Explain basic properties of open-loop and closed-loop systems.
7. Analyse time responses of first and second order systems.
8. Explain the concept of system stability. Demonstrate how to check stability of linear time-invariant systems using Routh, Hurwitz and Nyquist criteria.
9. Describe basic principles of measurements using sensors. Demonstrate how to acquire data from sensors using real-time hardware.
Affective (Attitudes and Values)
Not applicaple to technology module
Psychomotor (Physical Skills)
Not applicaple to technology module
How the Module will be Taught and what will be the Learning Experiences of the Students:
Two hours lectures per week.
Laboratory sessions - where students follow a structured set of laboratory sessions (introduction to Matlab and LabVIEW, modelling and simulation of dynamic systems using Matlab and LabVIEW, sensor data acquisition using real-time hardware). Undertake assignments to apply the knowledge gained through lectures and laboratory sessions in solving real-world problems. The lab is supported by a technician and teaching assistants.
Labs tutorials and experiments are integrated to provide a comprehensive treatment of this technical lab-based subject.
Research Findings Incorporated in to the Syllabus (If Relevant):
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Prime Texts:
Dorf, R.C., and R.H. Bishop (2002)
Modern Control Systems (9th Ed)
, Addison Wesley
Other Relevant Texts:
Bishop, R.H. (2002)
Modern Control Systems - Analysis and Design using Matlab and Simulink (2nd Edition)
, Addison Wesley
Programme(s) in which this Module is Offered:
Semester(s) Module is Offered:
Module Leader:
edin.omerdic@ul.ie