Please note
This document only provides information for the academic year selected and does not form part of the student contract
School:
School of Computing and Engineering
Credit Rating:
20
Level (including FHEQ):
H (FHEQ Level 6)
Graded or Non Graded:
Graded
Version Valid From:
2022-09-01
Module Leader:
Qasim Zeeshan Ahmed
Version Number
2022.01
Learning Methods
Lecture
Guided Independent Study
Practical Classes and Demonstrations
Requirements
Recommended Prior Study
Professional Body Requirements
Institution of Engineering and Technology
Synopsis
You will be introduced to analysis and design of a feedback control systems. You will study stability and performance of interconnected systems, using Root Locus and Bode plots. You will design a combination of different controllers using proportional, integral or derivative gains. Furthermore, you will develop a phase lag or … For more content click the Read More button below.
Learning Strategy
In this module the learners will engage in a blend of delivery methods facilitating both individual and collaborative aspects of learning to achieve the specified learning outcomes. In particular, this will require the learner to engage with the VLE materials where the learning is supported by the tutor-led two-way asynchronous … For more content click the Read More button below.
Outline Syllabus
Modelling of a series of heated water tanks with disturbances, using perturbation variables.Analytical solutions of system response to set point changes and system stability using proportional and proportional + integral control. Comparison of analytical solution using MATLAB.Stability using root locus, Bode and Nyquist. Gain and phase margins.Control systems design case … For more content click the Read More button below.
Learning Outcomes
On successful completion of this module students will
1.
Apply the underpinning scientific and mathematical principles, tools and notations proficiently in the analysis and solution of control engineering problems.
2.
Analytically determine the performance of control systems through the use of modelling techniques and computer software.
3.
Demonstrate an awareness of developing technologies related to control, and characterise modern control systems instrumentation.
4.
Explain the limitations of mathematical and computer models relevant to control engineering.
5.
Demonstrate creativity in the specification and design of a practical control system.
Formative Assessment
Assessment 1: Written practice exercise
Summative Assessment
Assessment 1: Written Assignment
Assessment 2: Written Assignment
Assessment 3: In-Class Test
Assessment Criteria
Task 1 SAIL Task 2 2.1 Demonstrate the ability to design, implement and critically appraise control systems and strategies for real, and numerically simulated, linear and non-linear processes. 2.2 Correct application of analytical techniques to determine system stability. Demonstration the use of compensators to stabilise systems and an understanding of … For more content click the Read More button below.