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Tuesday, October 15, 2013 Login Temperature Controllers www.factorymation.com Digital, PID, Auto-tune Low Prices start at $79 Different PID Equations The equation used to describe PID control so far in this chapter is the simplest form, sometimes called the parallel equation, because each action (P, I, and D) occurs in separate terms of the equation, with the combined effect being a simple sum: In the parallel equation, each action parameter (Kp, τi, τd) is independent of the others. At first, this may seem to be an advantage, for it means each adjustment made to the controller should only affect one aspect of its action. However, there are times when it is better to have the gain parameter affect all three control actions (P, I, and D). An alternate version of the PID equation exists to provide this very functionality. This version is called the Ideal or ISA equation: Here, the gain constant (Kp) is distributed to all terms within the parentheses, equally affecting all three control actions. Increasing Kp in this style of PID controller makes the P, the I, and the D actions equally more aggressive. A third version, with origins in the peculiarities of pneumatic and analog electronic circuits, is called the Series or Interacting equation: Here, the gain constant (Kp) affects all three actions (P, I, and D) just as with the “ideal” equation. The difference, though, is the fact that both the integral and derivative constants have an effect on proportional action as well! That is to say, adjusting either τi or τd does not merely adjust those actions, but also influences the aggressiveness of proportional action. This “interacting” equation was an artifact of certain pneumatic and electronic controller designs. Back when these were the dominant technologies, and PID controllers were modularly designed such that integral and derivative actions were separate hardware modules included in a controller at additional cost beyond proportional-only action, the easiest way to implement the integral and derivative actions was in a way that just happened to have an interactive effect on controller gain. In other words, this odd equation form was a sort of compromise made for the purpose of simplifying the design of the controller hardware. Interestingly enough, some digital PID controllers still implement the “interacting” PID equation even though it is no longer a necessary artifact of controller design. Add this page to your favorite Social Bookmarking websites Comments (0) Subscribe to this comment's feed Write comment Name Email Website Tit le Comment Disassembly of a sliding-stem control valve Analog Electronic Instrumentation Machine Vibration Measurement - Vibration Sensors Machine Vibration Measurement - Monitoring Hardware Machine Vibration Measurement - Mechanical Vibration Switches Signal Characterization Doctor Strangeflow, or how I learned to relax and love Reynolds numbers Practical Calibration Standards - Temperature Standards Practical Calibration Standards - Pressure Standards Practical Calibration Standards - Flow Standards Fluid Mechanics - Torricelli’s Equation Fluid Mechanics - Flow Through a Venturi Tube Elementary Thermodynamics - Temperature Elementary Thermodynamics - Heat Industrial Physics Terms and Definitions Elementary Thermodynamics - Heat Transfer Elementary Thermodynamics - Specific Heat and Enthalpy Positive Displacement Flowmeters Mathematics for Industrial Instrumentation True Mass Flowmeters SCADA Tutorial [Free] www.dpstele.com/Scada-Intro A really awesome tutorial on SCADA PDF (free): SCADA (PDF) Home News Pics and Vids Forum Careers Books Manuals IAM Blog Glossary Notes converted by Web2PDFConvert.com

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Page 1: Iamechatronics Com

Tuesday, October 15, 2013 Login

Temperature Controllerswww.factorymation.com

Digital, PID, Auto-tune Low Prices start at $79

Different PID EquationsThe equation used to describe PID control so far in this chapter is the simplest form, sometimes called theparallel equation, because each action (P, I, and D) occurs in separate terms of the equation, with thecombined effect being a simple sum:

In the parallel equation, each action parameter (Kp, τi, τd) is independent of the others. At first, this may seem tobe an advantage, for it means each adjustment made to the controller should only affect one aspect of its action.However, there are times when it is better to have the gain parameter affect all three control actions (P, I, andD).

An alternate version of the PID equation exists to provide this very functionality. This version is called the Ideal orISA equation:

Here, the gain constant (Kp) is distributed to all terms within the parentheses, equally affecting all three controlactions. Increasing Kp in this style of PID controller makes the P, the I, and the D actions equally more aggressive.

A third version, with origins in the peculiarities of pneumatic and analog electronic circuits, is called the Series orInteracting equation:

Here, the gain constant (Kp) affects all three actions (P, I, and D) just as with the “ideal” equation. Thedifference, though, is the fact that both the integral and derivative constants have an effect on proportionalaction as well! That is to say, adjusting either τi or τd does not merely adjust those actions, but also influencesthe aggressiveness of proportional action.

This “interacting” equation was an artifact of certain pneumatic and electronic controller designs. Back whenthese were the dominant technologies, and PID controllers were modularly designed such that integral andderivative actions were separate hardware modules included in a controller at additional cost beyondproportional-only action, the easiest way to implement the integral and derivative actions was in a way that justhappened to have an interactive effect on controller gain. In other words, this odd equation form was a sort ofcompromise made for the purpose of simplifying the design of the controller hardware.

Interestingly enough, some digital PID controllers still implement the “interacting” PID equation even though it isno longer a necessary artifact of controller design.

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Disassembly of a sliding-stem controlvalveAnalog Electronic Instrumentat ionMachine Vibrat ion Measurement -Vibrat ion SensorsMachine Vibrat ion Measurement -Monitoring HardwareMachine Vibrat ion Measurement -Mechanical Vibrat ion Sw itchesSignal Characterizat ionDoctor Strangeflow, or how I learnedto relax and love Reynolds numbersPract ical Calibrat ion Standards -Temperature StandardsPract ical Calibrat ion Standards -Pressure StandardsPract ical Calibrat ion Standards - FlowStandardsFluid Mechanics - Torricelli’s Equat ionFluid Mechanics - Flow Through aVenturi TubeElementary Thermodynamics -TemperatureElementary Thermodynamics - HeatIndustrial Physics Terms andDefinit ionsElementary Thermodynamics - HeatTransferElementary Thermodynamics - SpecificHeat and EnthalpyPosit ive Displacement FlowmetersMathematics for IndustrialInstrumentat ionTrue Mass Flowmeters

SCADA Tutorial[Free]www.dpstele.com/Scada-Intro

A really awesome tutorial onSCADA PDF (free): SCADA(PDF)

Home News Pics and Vids Forum Careers Books Manuals IAM Blog GlossaryNotes

converted by Web2PDFConvert.com

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True Mass FlowmetersProcess/Instrument Suitability ofFlowmetersMachine Vibrat ion MeasurementContinuous Analyt ical Measurement -Safety Gas AnalyzersIndustrial Physics for IndustrialInstrumentat ionMetric PrefixesDimensional Analysis for IndustrialPhysicsClassical MechanicsElementary ThermodynamicsFluid MechanicsChemistry for Instrumentat ionContinuous Analyt ical Measurement -Conduct ivity MeasurementFluid Mechanics - PressureFluid Mechanics - Pascal's Principle andHydrostat ic PressureFluid Mechanics - ManometersFluid Mechanics - Systems of PressureMeasurementFluid Mechanics - BuoyancyFluid Mechanics - Gas LawsFluid Mechanics - Fluid ViscosityFluid Mechanics - Reynolds NumberFluid Mechanics - Viscous FlowFluid Mechanics - Bernoulli’s Equat ionElementary Thermodynamics - PhaseChangesElementary Thermodynamics - PhaseDiagrams and Crit ical PointsElementary Thermodynamics -Thermodynamic Degrees of FreedomElementary Thermodynamics -Applicat ions of Phase ChangesContinuous Analyt ical Measurement -pH MeasurementContinuous Analyt ical Measurement -ChromatographyContinuous Analyt ical Measurement -Optical AnalysesChemistry - Terms and Definit ionsChemistry - Atomic Theory andChemical SymbolsChemistry - Periodic Table of ElementsChemistry - Electronic StructureChemistry - SpectroscopyPract ical Calibrat ion Standards -Analyt ical StandardsChemistry - Formulae for CommonChemical CompoundsChemistry - Molecular Quantit iesChemistry - Energy in ChemicalReact ionsChemistry - Periodic Table of the IonsChemistry - Ions in Liquid Solut ionsChemistry - pHFinal Control Elements - Control ValvesFinal Control Elements - Variable-Speed Motor ControlsPrinciples of Feedback ControlBasic Feedback Control PrinciplesOn/Off ControlProport ional -Only ControlProport ional-Only OffsetIntegral (Reset) ControlDerivat ive (Rate) ControlSummary of PID Control TermsP, I, and D Responses GraphedPneumatic PID ControllersAnalog Electronic PID ControllersDigital PID ControllersPract ical PID Controller FeaturesClassified Areas and Electrical SafetyMeasuresConcepts of Probability and ReliabilityProcess Characterizat ionBefore You Tune...Quantitat ive PID Tuning ProceduresTuning Techniques ComparedProcess Safety and Instrumentat ionNotes to Students w ith Regards toProcess Dynamics and PID Controller

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