Module Descriptors
APPLICATIONS OF CONTROL
MECH50481
Key Facts
Digital, Technology, Innovation and Business
Level 5
15 credits
Contact
Leader: David Dyke
Email: David.Dyke@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 24
Independent Study Hours: 126
Total Learning Hours: 150
Assessment
- PORTFOLIO weighted at 100%
Module Details
Module Resources
Control laboratory facilities
Computer control packages
Computer control packages
Module Texts
N.Nise, Control Systems Engineering, 4th Ed, Wiley, 2004, ISBN 0-471-45243-2
W. Bolton, Instrumentation and Control systems, Newnes, 2004, ISBN 0750664320
M.Hargreaves, Engineering Systems-Modelling and Control, Longman 1996, ISBN 0-582-23419-0
W. Bolton, Instrumentation and Control systems, Newnes, 2004, ISBN 0750664320
M.Hargreaves, Engineering Systems-Modelling and Control, Longman 1996, ISBN 0-582-23419-0
Module Learning Strategies
12 lectures and 12 tutorials/practicals
2 hours lectures / tutorials each week. The tutorials will include teaching on how to use a computer based control simulation package.
12 x 1 hour hour laboratory and independent study which will complement the lectures.
2 hours lectures / tutorials each week. The tutorials will include teaching on how to use a computer based control simulation package.
12 x 1 hour hour laboratory and independent study which will complement the lectures.
Module Additional Assessment Details
A lab-based portfolio weighted at 100% based on design exercise and practical measurement assessing Learning Outcomes 1-3.
Module Indicative Content
Modelling of typical elements of a servo mechanism (motor, gearbox, amplifier and sensors) and block diagram representation of systems.
Open and closed loop simplification.
Transfer function analysis of transient and steady state response.
S-plane and frequency response analysis, gain and phase margins.
How PID control improves the response of a system.
Digital implementation of a control system and examination of parameters that affect response (sampling rate, aliasing, pre-filtering and quantisation).
Open and closed loop simplification.
Transfer function analysis of transient and steady state response.
S-plane and frequency response analysis, gain and phase margins.
How PID control improves the response of a system.
Digital implementation of a control system and examination of parameters that affect response (sampling rate, aliasing, pre-filtering and quantisation).
Module Special Admissions Requirements
None.