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ME40051: Advanced control

Follow this link for further information on academic years Academic Year: 2017/8
Further information on owning departmentsOwning Department/School: Department of Mechanical Engineering
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: EX 100%
Further information on unit assessment Assessment Detail:
  • Examination (EX 100%)
Further information on supplementary assessment Supplementary Assessment:
ME40051 Reassessment Examination (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take ME30029 OR take EE30041
Further information on descriptions Description: Aims:
To give an understanding of sampled data system theory with reference to the digital control of dynamical systems.
To provide an introduction to modern control theory and to explore the links between this and classical control.
To show how modern control techniques can be used to control physical systems.

Learning Outcomes:
After taking this unit the student should be able to:
* Evaluate the behaviour of single input/single output digital control systems and determine system stability.
* Understand the problems associated with sampling signals.
* Select appropriate methods to improve control systems performance. Represent and analyse both continuous-time and discrete-time systems described in state variable forms.
* Understand the key features of neural and fuzzy controllers.

Problem solving; numeracy; working independently.

Nature of sampled signals; selection of sample rate; aliasing; prefiltering. The Z transform. Open-loop and closed-loop digital control; stability of closed-loop digital systems. Root locus; estimation of the transient response using the Z-plane. Frequency response of discrete-time systems. Digital design techniques; approximation methods; digital PID controllers. Adaptive control. State representation of physical systems; non-uniqueness of states. Controllability and observability. Time response of continuous- and discrete-time systems. Observers and state feedback; modal control. Parameter estimation. Introduction to neural networks and fuzzy control. Topics for self study that could be examined.
Further information on programme availabilityProgramme availability:

ME40051 is Optional on the following programmes:

Department of Electronic & Electrical Engineering
  • UEXX-AFM02 : MEng(Hons) Integrated Mechanical and Electrical Engineering (Year 4)
  • UEXX-AKM02 : MEng(Hons) Integrated Mechanical and Electrical Engineering with Year long work placement (Year 5)
Department of Mechanical Engineering
  • UEME-AFM04 : MEng(Hons) Aerospace Engineering (Year 4)
  • UEME-AKM04 : MEng(Hons) Aerospace Engineering with Year long work placement (Year 5)
  • UEME-AFM16 : MEng(Hons) Mechanical Engineering (Year 4)
  • UEME-AKM16 : MEng(Hons) Mechanical Engineering with Year long work placement (Year 5)
  • UEME-AFM47 : MEng(Hons) Mechanical with Automotive Engineering (Year 4)
  • UEME-AKM47 : MEng(Hons) Mechanical with Automotive Engineering with Year long work placement (Year 5)