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Implementation of SMC Control Action with Pi Sliding Surface for Non Linear Plant Along with Changing Set Point

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International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-8S3, June 2019

Abstract: A discrete time sliding mode controller (DSMC) is proposed for higher solicitation not withstanding defer time (HOPDT) frames. As portion of structure states and botch, a sliding mode surface is selected and the tuning parameters of the sliding mode controller are resolved using overpowering post circumstance scheme. The control object for "ball in a barrel" is to handle the velocity of a fan blowing air into a chamber to keep a ball suspended in the barrel at a certain predestined position. The DSMC isT attemptedT toT coordinateT theT ball'sT positionT

subsequently.T ButT skillfullyT clear,T thisT isT aT troublesomeT

controlT issueT dueT toT theT non-directT ramificationsT forT theT

ballT andT theT confoundingT materialT scienceT regulatingT itsT

lead.T TheT DSMCT isT attemptedT toT coordinateT theT ball'sT

positionT subsequently.T ButT skillfullyT clear,T thisT isT aT

troublesomeT controlT issueT dueT toT theT non-directT

ramificationsT forT theT ballT andT theT confoundingT materialT

scienceT regulatingT itsT lead.T TheT generationT andT

experimentationT resultsT exhibitT thatT theT proposedT

methodologyT ensuresT neededT afterT components.T TheT

flawlessnessT ofT currentT proposedT frameworkT isT itT stipendsT

followingT ofT advancementT continuouslyT setT point.T ThisT

deviceT toT likelyT investigateT aT standard PID controller and

DSMC controller. The results indicate notable separations in controllers ' implementation characteristics.

Index Terms: PID controller, SMC, DSMC, HOPDT

I. INTRODUCTION

ForT greaterT requests,T aT discreteT timeT slidingT modeT

controllerT (DSMC)T isT suggestedT forT non-resistantT deferT

timeT framesT (HOPDT).T AsT portionT ofT structureT statesT andT

botch,T aT slidingT modeT surfaceT isT selectedT andT theT tuningT

parametersT ofT theT slidingT modeT controllerT areT resolvedT

usingT overpoweringT postT circumstanceT scheme.T TheT

controlT objectT forT "ballT inT aT barrel"T isT toT handleT theT

velocityT ofT aT fanT blowingT airT intoT aT chamberT toT keepT aT

ballT suspendedT inT theT barrelT atT aT certainT predestinedT

position.T TheT DSMCT isT attemptedT toT coordinateT theT ball'sT

positionT subsequently.T ButT skillfullyT clear,T becauseT ofT theT

non-directT ramificationsT forT theT ballT andT theT confusingT

materialT scienceT thatT regulatesT itsT lead,T thisT isT aT

troublesomeT controlT issue.T Additionally,T theT ballT isT

Revised Manuscript Received on May 23 , 2019.

Bharatkumar Shamrao Patil Department of instrumentation, AISSMS Polytechnic, Maharashtra, INDIA

Dr. Laxman M. Waghmare Department of instrumentation SGGS, IOT, Nanded, INDIA

Dr. M. D. Uplane Prof. Instrumentation Science Department, SP Pune, University Pune, INDIA

incrediblyT sensitiveT toT anyT externalT aggravationsT fromT

theT fan.T TakenT together,T itT isT difficultT toT beT compelledT byT

theT standardT science,T andT notT reallyT gotT inT duplicatedT orT

numericalT connectionsT ofT controlT counts.T TheT resultsT ofT

theT generationT andT experimentationT showT thatT theT

methodologyT proposedT ensuresT thatT componentsT areT

needed.T TheT flawlessnessT ofT theT presentT proposedT

structureT isT thatT itT stipendsT onT theT continuousT setT pointT

ofT progress.T ThisT unitT isT likelyT toT exploreT aT conventionalT

controllerT forT PIDT andT DSMC.T TheT resultsT indicateT

notableT separationsT inT controllersT 'T implementationT

characteristics.T

II. METHODOLOGY

Control action depends on the second legislation of movement of Newton. Newton's second movement law is more quantitative and is widely used to calculate what occurs in circumstances involving a force.

Figure1. Block diagram of proposed system

Law of Force and Acceleration states that, according to the formula net force = mass x acceleration, a force on an object

causes it to accelerate. Thus the object's acceleration is directly proportional to the force and inverse to the mass.

a= acceleration of the object, which is velocity change per

time i.e.

= net force on the object, SI unit is mass times

acceleration, = Newton, NT

m = mass of the object

It has what we call acceleration when an object changes its velocity. Newton's second movement law offers an explanation for object conduct when applying forces. The legislation says that internal

forces cause objects to

accelerate, and the quantity

of speed is directly

Bharat Kumar Shamrao Patil, Laxman M. Waghmare, M. D. Uplane

Implementation of SMC Control Action with Pi

Sliding Surface for Non Linear Plant Along with

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proportional to the objects ' net power and inversely proportional to the objects ' mass. Notice that Newton's second law states that the amount of acceleration is directly proportional to the net force acting on the object. What is the net force and how do we calculate it? Net force is the sum of all forces acting on an object in a particular direction. Because forces have direction, they are quantities of vectors. With both magnitude and direction, the vector quantities are fully defined and represented with arrows. Consider an object being pushed to the left with 10 Newtons of force and to the right with 5 Newtons of force. The net force = 5 N to the left as 10 N - 5 N = 5 N. The forces are subtracted from each other since they are pointing in opposite directions. If they pointed in the same direction, the forces would be added to each other. Once the net force is determined, it is possible to determine the object acceleration.

Acceleration: When the velocity of an object changes it is

said to be accelerating. Acceleration is the rate of change of

velocity with time. Any change in the velocity of an object results in an acceleration: increasing speed (what people usually mean when they say acceleration), decreasing speed (also called deceleration or retardation), or changing direction (called centripetal acceleration).

AverageT accelerationT isT determinedT overT aT "long"T timeT

interval.T TheT wordT longT inT thisT contextT meansT finiteT —T

somethingT withT aT beginningT andT anT end.T TheT velocityT atT

theT beginningT ofT thisT intervalT isT calledT theT initialT

velocity,T representedT byT theT symbolT v0T (veeT nought),T andT

theT velocityT atT theT endT isT calledT theT finalT velocity,T

representedT byT theT symbolT vT (vee).T AverageT accelerationT

isT aT quantityT calculatedT fromT twoT velocityT measurements.

InT contrast,T instantaneousT accelerationT isT measuredT overT

aT "short"T timeT interval.T TheT wordT shortT inT thisT contextT

meansT infinitelyT smallT orT infinitesimalT —T havingT noT

durationT orT extentT whatsoever.T ItT isT anT idealT ofT

mathematicsT thatT canT beT realizedT onlyT asT aT limit.T TheT

limitT ofT aT rateT isT calledT aT derivativeT asT theT denominatorT

approachesT zero.T InstantaneousT accelerationT isT thenT theT

limitT ofT averageT accelerationT asT theT timeT intervalT

approachesT zeroT —T orT alternatively,T accelerationT isT theT

derivativeT ofT velocity.

Acceleration is the derivative of time-speed, but velocity itself is the derivative of time-speed displacement. The derivative is a mathematical operation that can be applied to a pair of different quantities multiple times. Once you do it, you get a first derivative. Doing it twice (a derivative) provides you a second derivative. This makes speed the first

speed derivative with moment and the second displacement

derivative with time.

Vectors are written in boldface in formal mathematical writing. In italics, scalars and vector magnitudes are written. Numbers, measurements, and units are written in roman (not italic, not bold, not oblique — ordinary text). For example

Another frequently used unit is the acceleration due to gravity — g. Since we are all familiar with the effects of gravity on ourselves and the objects around us it makes for a convenient standard for comparing accelerations. Everything feels normal at 1 g, twice as heavy at 2 g, and weightless at 0 g. This unit has a precisely defined value of 9.80665 m/s2, but for everyday use 9.8 m/s2 is sufficient, and 10 m/s2 is convenient for quick estimates.

The unit called acceleration due to gravity (represented by a roman g) is not the same as the natural phenomena called acceleration due to gravity (represented by an italic g). The former has a defined value whereas the latter has to be measured.

Force:T AT ‗Force‘T isT aT vectorT quantityT thatT canT beT

describedT asT aT pushT orT pullT onT anT objectT resultingT fromT

theT object‘sT interactionT withT anotherT object.T WheneverT

thereT isT anT interactionT betweenT twoT objects,T theT objectsT

experienceT anT equalT andT opposingT forceT onT eachT other.T

InT otherT words,T bothT theT objectsT ‗exertT force‘T onT eachT

other.T ForceT onlyT existsT asT aT resultT ofT anT interaction.T IfT

thereT isT noT interaction,T theT objectsT noT longerT experienceT

theT force.T ForceT isT measuredT inT unitsT calledT NewtonsT (N).

Block diagram of proposed system is shown in fig 1 and described as follows:

Control action

ControlT actionT isT dependingT onT Newton‘sT 2ndT lawT ofT

motion.T ForceT actingT onT anT objectT causesT theT objectT toT

changeT itsT shapeT orT size,T toT startT moving,T toT stopT

moving,T toT accelerateT orT decelerate.T WhenT there‘sT theT

interactionT betweenT twoT objectsT theyT exertT aT forceT onT

eachT other,T theseT exertedT forcesT areT equalT inT sizeT butT

oppositeT inT direction.T WhenT anT objectT hasT severalT forcesT

actingT onT it,T theT effectsT ofT forceT isT sameT asT oneT forceT

actingT onT theT objectT inT aT certainT directionT andT thisT

overallT forceT isT calledT theT ‗resultantT force‘.T TheT resultantT

forceT isT essentialT toT changeT theT velocityT ofT anT object.T

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International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-8S3, June 2019

So to keep the height of ball constant, we need to change ‗N‘ such that force exerted on ball will keep the height same. To keep the ball at particular height we have to keep monitoring it and accordingly we have to adjust the volumetric flow of air.

III. SIMULATION RESULTS

Using PID and SMC control activity, reenactment results are tested. Similar computations are tried on the trial setup after reproduction with some handy preliminaries. The findings of recreation are as follows.

Figure2. Simulation Results using PID control action

[image:3.595.64.271.645.751.2]

Figure3. Simulation Results using SMC control action

Figure 1 shows the simulation result of PID control action. While figure 2 reflects that of SMC control action. It gives the full idea of how SMC control action with PI sliding mode results better with suppressed damping and oscillations. Moreover, figure 3 gives idea about how tuning of SMC results in better accuracy.

Figure4. Control signal of sliding mode control for different tuning parameter strategies

IV. EXPERIMENTAL IMPLEMENTATION

TheT exploratoryT systemT includesT aT 1T mT longT straightT

acrylicT tubeT withT aT 45T mmT longT distance.T AsT shownT inT

FigureT 3,T theT breezeT currentT inT theT barrelT isT forcedT byT aT

DCT fanT attachedT toT theT baseT endT ofT theT weightT bind.T

UltrasonicT sensorT isT mountedT onT theT mostT elevatedT

purposeT ofT theT chamberT soT itT canT checkT theT ball'sT

position.T

UltrasonicT sensorsT emanateT aT 8T cycleT burstT ofT ultrasonicT

soundT atT 40T kHz.T TheseT spreadT noticeableT allT aroundT atT

theT speedT ofT sound.T OnT theT offT chanceT thatT theyT strikeT aT

ball-in-tube,T atT thatT pointT theyT areT reflectedT backT asT

reverberationT signsT toT theT sensor,T whichT itselfT registersT

theT separationT toT theT objectiveT dependentT onT theT

time-lengthT betweenT producingT theT flagT andT acceptingT

theT reverberation

Figure5. actual hardware

Distance = {time-span between emitting the signal and receiving the echo} x velocity of sound / 2.

TheT DCT blowerT isT usedT toT supplyT theT airT inT theT

cylinderT thatT isT supposedT toT liftT theT ball.T TheT windT

currentT suppliedT toT liftT aT ballT isT relativeT toT theT

fan-connectedT voltage,T whichT correspondsT toT theT

PWMT signal'sT dutyT cycle.T ForcesT appliedT onT theT ballT

areT illustratedT inT figureT 6.T TheT upwardT appliedT forceT

fromT theT blowerT actingT onT ball-in-tube,T F=T -T mgT andT

downwardT forceT exertedT onT ball,T FT =T mg,T whereT 'm'T

isT massT (hereT 2.7T gramT isT theT massT ofT ball)T andT 'g'T

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Figure6. Forces acting on ball in cylinder

For tracking of set point on experimental setup PID and SMC control action is used. It gives good tracking results. For both control actions set point is set as 60cm. Results are as shown in figure below.

Figure7. PID control action results on experimental setup

Figure8. SMC control action results on experimental

setup

ExperimentalT configurationT resultsT showT thatT SMCT

controlT actionT providesT outstandingT precisionT andT

stability.T ForT nonlinearT andT robustT plant,T itT isT theT bestT

choice.T itT isT clearT thatT theT controllerT actionsT givenT byT

proposedT SMCT withT PIT slidingT surfaceT isT smoothT butT PIDT

hasT moreT chattering.T OnT theT sameT setup,T whenT PIDT

fuzzyT actionT isT testedT asT proposedT byT OuyangT ZiweiT etT

al.T theT resultantT responseT isT illustratedT inT figureT 9.

Figure9. Comparison on setup between proposed algorithm and Ouyang Ziwei

It clearly indicates that the results tested by using the Ouyang Ziwei et al. give more oscillations along with peak overshoot.

Table1. Comparison of controllers' performance

Fuzzy PID (Ouyang Ziwei et. al.)

Proposed SMC

with PI sliding surface

Rise time (sec)

1.06 0.9698

Settling time (sec)

5.496 3.15

Overshoot (%) 46.667 22.0339

The beauty of the proposed system is it gives the best results even for the changing set point system. It also with quick response than PID control action. The set point is set as 60 and then after some time the set point is changes to 70. Result of the same is shown in following figure.

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International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-8S3, June 2019

Figure11. Comparison between Simulation Results and Experimental Results

In most of the cases open loop response of the system comes out to be oscillatory. The reduced order model gains;

Figure12.Nyquist plot

TheT responseT ofT continuousT timeT transferT functionT whichT

isT plottedT inT figureT 12.T TheT plotT drawnT inT blueT colourT

representsT NyquistT plotT ofT originalT systemT whereasT plotT

drawnT inT redT colourT representsT NyquistT plotT ofT proposedT

system.

Figure13. Simulation result

FigT 12T showsT stepT responseT ofT originalT andT reduceT orderT

system.T SimulationT resultsT showsT thatT setT pointT isT

responsibleT forT changingT characteristicsT ofT outputT asT oneT

canT seeT asT setT pointT changesT outputT waveformT

simultaneouslyT changes.T ItT resultsT inT smoothT andT quickT

results.

V. CONCLUSION

InT relationT toT momentT defermentT formsT byT predominantT

post-arrangementT strategy,T SMCT controlT activityT withT PIT

slidingT surfaceT isT suggestedT forT set-pointT followingT

greaterT demand.T OverpoweringT postsT areT acquiredT by,T forT

example,T settlingT timeT andT apexT overshootingT fromT theT

idealT closedT hoverT decisions.T TheT arrangementT methodT isT

obviouslyT essentialT becauseT itT includesT aT singleT tuningT

parameter.T TheT proposedT methodologyT hasT noT restrictionsT

inT regardsT toT changingT setT point,T frameworkT request,T

timeT deferral,T coordinatingT andT oscillatoryT conduct,T openT

circleT vibrationT orT non-leastT stageT framework.T TheT

findingsT ofT theT testingT demonstrateT theT materialityT ofT theT

ongoingT applicationT method.T TheT movementT ofT theT

controllerT byT theT proposedT procedureT thumpsT lessT andT theT

expulsionT ofT theT disruptiveT effectsT isT betterT whenT itT

standsT outT fromT theT controllerT ofT theT PID.T TheT tradingT

controlT lawT isT keptT inT theT proposedT techniqueT littleT toT

diminishT motionsT thatT haveT anT offT exchangeT withT theT

strength.

REFERENCES

1. Levant,T Higher-orderT slidingT modes,T differentiationT andT

output-feedbackT control,T InternationalT JournalT ofT ControlT 76T (9/10)T

(2003)T 924–941.

2. Levant,T SlidingT orderT andT slidingT accuracyT inT slidingT modeT

control,T InternationalT JournalT ofT ControlT 58T (6)T (1993)T 1247–1263.

3. Edwards,T S.T Spurgeon,T SlidingT ModeT Control:T TheoryT andT

Applications,T CRCT Press,T BocaT Raton,T FL,T 1998.

4. Levant,T UniversalT single-input-single-outputT sliding-modeT controllersT

withT finite-timeT convergence,T IEEET TransactionsT onT AutomaticT

ControlT 46T (9)T (2001).J.S.T Orr,T Y.B.T ShtesselT /T JournalT ofT theT

FranklinT InstituteT 349T (2012)T 476–492.

5. Klumpp,T ApolloT LunarT DescentT Guidance,T NASAT R-695,T 1971.

6. F.T Bennett,T ApolloT ExperienceT Report—MissionT PlanningT ForT

LunarT ModuleT DescentT andT Ascent,T NASAT TNT D-6846,T 1972.

7. F.T Dodge,T H.T AbramsonT (Eds.),T AnalyticalT RepresentationT ofT

LateralT SloshingT byT EquivalentT MechanicalT Models,T TheT DynamicT

BehaviorT ofT LiquidsT inT MovingT Containers,T NASAT SP-106,T 1966,T

pp.T 199–223.

8. W.T Widnall,T LunarT ModuleT DigitalT Autopilot,T JournalT ofT

SpacecraftT 8T (1)T (1971)T 56–62.

9. E.T Kubiak,T PhaseT PlaneT LogicT DesignT Principles,T NASAT

MemorandumT EH2-86M-149,T MayT 1986.

10. Hall,T Y.T Shtessel,T SlidingT modeT observer-basedT controlT forT aT

reusableT launchT vehicle,T JournalT ofT Guidance,T Control,T andT

DynamicsT 29T (6)T (2006)T 1315–1328.

11. J.T Orr,T Y.T Shtessel,T RobustT controlT ofT lunarT spacecraftT poweredT

descentT usingT aT second-orderT slidingT modeT technique,T in:T

ProceedingsT ofT theT 2008T AIAAT Guidance,T Navigation,T andT

ControlT Conference,T Honolulu,T HI.

12. H.T Khalil,T in:T NonlinearT Systems,T thirdT ed,T Prentice-Hall,T UpperT

SaddleT River,T NJ,T 2002.

13. Y.T Shtessel,T J.T Moreno,T F.T Plestan,T L.T Fridman,T A.T Poznyak,T

Super-twistingT adaptiveT slidingT modeT control:T aT LyapunovT design,T

in:T ProceedingsT ofT theT ConferenceT onT DecisionT andT Control,T

Atlanta,T GA,T December,T 2010.

14. F.T Plestan,T Y.T Shtessel,T V.T Bregeault,T A.T Poznyak,T NewT

methodologiesT forT adaptiveT slidingT modeT control,T InternationalT

JournalT ofT ControlT 83T (9)T (2010)T 1907–1919.

15. J.T Orr,T Y.T Shtessel,T RobustT lunarT spacecraftT autopilotT designT usingT

high-orderT slidingT modeT control,T in:T ProceedingsT ofT theT 2009T

AIAAT Guidance,T Navigation,T andT ControlT Conference,T Chicago,T IL.

16. OuyangZiweiT ,Schnell.MichaelT andT WeiT KexinT ―TheT ExperimentT

"Ball-in-tube"T withT Fuzzy-PIDT ControllerT BasedT onT Dspace‖T 2007T

Figure

Figure 1 shows the simulation result of PID control action. While figure 2 reflects that of SMC control action

References

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