Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
5405ELE-JAN-CTY
Aims
To develop an understanding of components and the principles of control systems, basic design and analysis techniques, and practice some control applications.
Learning Outcomes
1.
Analyse measurement devices for temperature, position and force.
2.
Demonstrate an understanding of the basic concepts of dynamic system response and closed loop control.
3.
Develop models for simple dynamic plant.
4.
Design controllers and analyse system performance.
5.
Simulate control systems with appropriate software and assess system
performance.
Module Content
Outline Syllabus:Temperature measurement: thermometers, thermistors and thermo-couples
Force and weight measurement: strain gauges and bridge circuit
Displacement measurement: potentiometers, LVDT (linear variable difference transformer)
P&ID Diagrams
Introduction: control system structure including sensors, controllers, actuators and plants.
Matlab/Simulink
Modelling & Simulation: introduce transfer function models for different plants, how to simulate a control system with Matlab/Simulink for system analysis and performance assessment.
Block diagram analysis.
Stability analysis: pole location method and Routh method
Time response analysis: characteristics for first order and second order systems, response to step and ramp input.
Controller design: design specification in time domain, functions of P, I and D control, empirical controller parameter setting method.
State space representation
Computer packages will be used to gain experience in applying and simulating techniques.
Additional Information:This level 5 module develops an understanding of the modelling, application, design and analysis of control systems with Matlab/Simulink.
General Notes
UNESCO Sustainable Development Goals
Good Health and Wellbeing
Quality Education
Affordable and Clean Energy
Decent Work and Economic Growth
Industry, Innovation and Infrastructure
Sustainable Cities and Communities
Responsible Consumption and Production
UK SPEC AHEP 4
CEng.
M1 Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.
M2 Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.
M3 Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed.
M6 Apply an integrated or systems approach to the solution of complex problems.
M9 Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity.
M12 Use practical laboratory and workshop skills to investigate complex problems.
M13 Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations.
M17 Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used.
M18 Plan and record self-learning and development as the foundation for lifelong learning/CPD.
IEng.
B1 Apply knowledge of mathematics, statistics, natural science and engineering
principles to broadly-defined problems. Some of the knowledge will be informed by current developments in the subject of study.
B2 Analyse broadly-defined problems reaching substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles.
B3 Select and apply appropriate computational and analytical techniques to model broadly-defined problems, recognising the limitations of the techniques employed.
B6 Apply an integrated or systems approach to the solution of broadly-defined problems.
B9 Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity
B12 Use practical laboratory and workshop skills to investigate broadly-defined problems.
B13 Select and apply appropriate materials, equipment, engineering technologies and processes.
B17 Communicate effectively with technical and non-technical audiences.
B18 Plan and record self-learning and development as the foundation for lifelong learning/CPD.
Where this module is part of a Degree Apprenticeship programme, the skills learning outcomes is K5.
Assessments
Centralised Exam
Report