Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: EEE220
Module Title: Instrumentation and Control System
Module Level: Level 2
Module Credits: 5.00
Academic Year: 2017/18
Semester: SEM2
Originating Department: Electrical and Electronic Engineering
Pre-requisites: N/A
Study on control system design with sensor and transducer is required to get an ability to analyse the measurand, controller design, and system performance analysis. Module covers from the understanding of sensor/transducer itself and its circuit design to the integration of controller design with data acquisition unit. Naturally, the aims of this module are to enable the students:

To understand the concepts of instrumentation and control system.

To understand the sensors type and application to the system

To understand data error and approximation

To understand the data acquisition process and applying instrument to control system.

To understand the mathematical modelling of dynamic systems and different formats of system models.

To learn the frequency domain design and analysis of control systems.

To understand the system stability and how to determine if a system is stable.

To understand control system synthesis methods in frequency domain.

To conduct computer aided system analysis and design using Matlab.

To provide the student with the ability to select a suitable transducer and associated system for a given measurement application and to consider possible alternative solutions.

Learning outcomes 
Students completing the module successfully should:
(note: for accreditation and other reasons, sub-headings could be added apart from the items below by departments)

A Knowledge and Understanding

After successful completion of the module, the student should be able to:

understand the behavior of linear systems, the derivation of mathematical models in differential, transfer function and state space representation

familiarise the problem of instability and apply standard tests for stability

appreciate the advantages and disadvantages of closed-loop feedback with regard to system response speed, sensitivity to parameters and disturbances, accuracy and stability

familiarise common types of system controller, and select the most appropriate controller for a given problem

appreciate how complete control schemes are implemented in hardware and software, and the problems of system integration

appreciate basic sensors/transducer specifications and their interpretation

understand the system requirements for a typical measurement system and some common factors that can affect its performance

B Intellectual Abilities

After successful completion of the module, the students should be able to demonstrate ability in applying knowledge of the module topics to:

linear system modelling in differential equations, transfer functions representation, block diagrams and state space realization.

analyse dynamic and static characteristics of linear systems in both time and frequency domains.

design and tune controllers (e.g. PID controllers) for linear system with frequency domain methods.

optimise sensor arrangement to get effective value.

design a typical measurement system, including the choice of transducer, associated signal conditioning and transmission path requirements.

Method of teaching and learning 
This module will be delivered by a combination of formal lectures, tutorials, experiments, assignments and case studies.
Lectures on this module constitute 13 weeks with four hours a week, and 4 hours tutorial, and 10 hours of experiment and computer lab.

Lecture 1: (one week)
Review and introduction to instrumentation systems including terminology, sensor, transducer, and specifications, control systems and the basic concepts of control systems. Concept of open and closed loop systems.

Lecture 2:(one week)
Sensor and transducers include temperature, tensile and bending strain, displacement and level. Linear and rotary displacement transducers: capacitive, inductive, optical. The LVDT, synchro-resolvers and fuel tank senders.

Lecture 3: (two weeks)
First and second order response of systems, application to step and sinusoidal response of transducers: temperature transducers, accelerometers, differential equations. Laplace transform of standard signals. Block diagram, and State space model. Dynamics and transient responses. Transient and steady state response of first and second order systems.

Lecture 4: (one week) The transmission path, Bandwidth requirements of analogue and digital paths, quantization error, principles of A-D and D-A conversion, signal-flow graph and Mason's rule. Converting a system model from transfer function format to state space model and also from state space to transfer functions.

Lecture 5: (one week)
Signal processing techniques, sources of interference noise, filtering and noise reduction methods, error correcting codes,

Lecture 6: (two week)
Control System performance - transient and steady-state response.
Characteristic equations, poles and zeros. System stability analysis with Routh-Hurwitz stability criteria. Effect of dDisturbances and sensitivity, accuracy, and related error..
Controllability and observablity. General steady state response, accuracy and errors.
System characterization by order and type number. Control System CAS

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 52     10      84  150 


Sequence Method % of Final Mark
1 Final Exam 70.00
2 Midterm Exam 15.00
3 Assignment 15.00

Module Catalogue generated from SITS CUT-OFF: 10/22/2017 9:33:47 PM