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Unit of Study ENI83040 - Control Systems and Automation (2018)

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Unit Snapshot

  • Enrolment information

    N/A

Unit description

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

Availabilities

Not currently available in 2018

Learning outcomes and graduate attributes

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:

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
Learning outcome count Learning outcome description GA1 GA2 GA3 GA4 GA5 GA6 GA7
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:

  1. interpret the significance and relevance of systems and associated control in mechanical engineering
    • GA1:
    • GA4:
  2. understand the concept of stability and its importance in systems analysis and control
    • GA1:
    • GA4:
  3. form systems models of basic mechanical, electrical, and electromechanical systems
    • GA1:
    • GA4:
  4. analyse these system models for steady-state and transient performance and stability
    • GA1:
    • GA4:
  5. employ classical control system design methods in the design of feedback loops to achieve a specified dynamic behaviour from a system
    • GA1:
    • GA4:
  6. develop skills in effectively and safely using laboratory equipment in a team environment, and in reporting findings
    • GA4:
    • GA6:
  7. understand the application of control and automation in mechanical engineering professional practice.
    • GA6: