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Unit Summary
Pre-requisites
Unit aim
Builds on the unit, Electro-Mechanical and Robotics Technology, and introduces students to the theory, tools and methodologies that underpin modelling, analysis and design in control systems engineering. Techniques include the use of differential equations, block diagrams, frequency domain methods, Root Locus and Bode plots. MATLAB is used as a simulation environment. Programmable logic controllers for industrial automation are addressed.
Unit content
Introduction to control system design
System modelling for electrical and mechanical systems
The Laplace transform
Block diagram modelling
Open and closed loop control, role of feedback
Transient and steady state performance
Root locus
Frequency response analysis
Compensator design, practical issues
Industrial PLCs
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | |
|---|---|
| 1 | interpret the significance and relevance of systems and associated control in mechanical engineering |
| 2 | understand the concept of stability and its importance in systems analysis and control |
| 3 | form systems models of basic mechanical, electrical, and electromechanical systems |
| 4 | analyse these system models for steady-state and transient performance and stability |
| 5 | employ classical control system design methods in the design of feedback loops to achieve a specified dynamic behaviour from a system |
| 6 | develop skills in effectively and safely using laboratory equipment in a team environment, and in reporting findings |
| 7 | understand the application of control and automation in mechanical engineering professional practice. |
On completion of this unit, students should be able to:
- interpret the significance and relevance of systems and associated control in mechanical engineering
- understand the concept of stability and its importance in systems analysis and control
- form systems models of basic mechanical, electrical, and electromechanical systems
- analyse these system models for steady-state and transient performance and stability
- employ classical control system design methods in the design of feedback loops to achieve a specified dynamic behaviour from a system
- develop skills in effectively and safely using laboratory equipment in a team environment, and in reporting findings
- understand the application of control and automation in mechanical engineering professional practice.
Prescribed texts
- No prescribed texts.