Automation in Environmental Engineering Lecture notes 2

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Automation in Environmental Engineering dr inż. Patryk Wójtowicz

description

Lecture notes for Automation in EE course EQM. Wrocław University of Technology, Poland

Transcript of Automation in Environmental Engineering Lecture notes 2

Page 1: Automation in Environmental Engineering Lecture notes 2

Automation in Environmental Engineering

dr inż. Patryk Wójtowicz

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Signals

•  Signal is a variable that conveys the value of a parameter (information) between the elements of a system

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Signal types by physical form

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General classification of signals

Signal

Analogue

Discrete Pulse

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Analogue signals

• Analogue signals are continuous in nature •  Analogue signals may vary over some finite

range and may have any value within that range (determined by a physical phenomenon)

• Most process signals are analogue

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Discrete signals

• Discrete signals have two or more states. At any point in time, may only exist as one or other of those states

• Discrete signals are used to convey status information such as auto/manual, on/off, open/closed, running/stopped

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Analogue vs digital

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Pulse signals

•  Pulse signals consist of trains of pulses, each pulse being equivalent to a fleeting discrete signal.

•  Pulse signals are typically associated with rotary devices such as turbine meters or agitator shafts

•  A known number of electrical pulses are generated with each revolution. Counting of the pulses with respect to time yields an average shaft speed

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Standard signal ranges

•  Signals have some standard ranges. • Compatibility of input and output signals

enables systems to be configured from off-the-shelf elements

barg – gauge pressure

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Signal interpretation

•  Knowledge of the behaviour or calibration of the elements and of the nature of the signal is necessary to determine the value of the parameter being transmitted

• Determine temperature reading assuming linear calibration (see diagram below)

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Signal interpretation

•  Analogue signals have a non-zero lower limit to their range to enable zero valued signals to be distinguished from faulty ones (4 – 20 mA signal while 0 mA = fault)

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Signal processing - Linearity

•  Signals which are linear are easy to interpret

•  In practice non-linear input-output relationships prevail

•  A basic strategy of control system design is to eliminate nonlinearities

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Linearization - example

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Orifice (ISO 5167)

orifice flow coefficient

mass flow rate

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General instrument or function symbols

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General instrument or function symbols contd

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Symbols according to DIN 30600 and ISO 14617

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Symbols according to DIN 30600 and ISO 14617

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Symbols according to DIN 30600 and ISO 14617