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In all.

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Today I will discuss about tank level control system using PID controller.

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So for that purpose I just open a already given example inside the knee example finders.

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I just go over there.

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Then I just type a keyword PID over here.

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As you see list of codes are there.

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I just select simulation tank level control.

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I just open it.

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As you see over here, it is created by an AI.

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So I just explain you what is inside this and what is inside the program.

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So over here, as you see in the tank level control system, basically this example demonstrates a process

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simulation for the tank level.

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Inside this we have different type of errors or disturbances like noise valve deadband lag, dead time,

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a level controller adjust inlet flow.

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And we have also a drain valve we can manually on off it.

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So in this particular program we just insert a PID controller that can be manually controlled or automatically

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controlled.

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We just need to check how it tracks the final set point.

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Okay.

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So over here there are some symbols.

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Let's say a T over here stands for level transmitter on the field.

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And 101 is the loop count L I, c stands for level controller at the control room again 101 is your

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loop count L c V is your level control valve.

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And over here H V stands for hand control valve on the field.

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And 102 is your loop count.

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So I just go to the front panel right now.

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Also I'm in front panel.

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I just change the type of operation.

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As you see over here, we have a symbol of tank and all the valves like level controller and control

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valve are there.

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And over here we have a PID parameters initially.

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We just set it to auto mode.

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Okay.

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So we just in the starting, we just put some set point over here.

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You can change this set point according to this the inlet flow this inlet flow will be controlled using

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this PID controller.

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And over here this is the drainage we just on off it so that it will empty the tank.

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Over here we have a flow sensor and the process chart we just show over here.

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So right now I just show you the front panel part.

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Let's run it when you just run it.

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Initially the set point is around 76.4706.

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As you see over here.

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Different colors.

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Process variable blue color.

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This one set point is red one constant.

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It is not changing.

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And the controller output it is changing now okay this is right now it just want to track the output

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okay.

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So now process variable and controller set point are nearly same as you see.

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And the controller output you just check over here okay.

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And over here you just see the inlet flow inside the tank.

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Then you just change the set point.

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Let's check what happened.

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There is a change.

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If it is not clearly visible, I just make it.

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I mean, I just changed the style.

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Basically, I want to increase the width.

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So it is clearly visible to you all.

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As you see right now, I just again run it.

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When it just reached the set point.

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When set point and process variable are nearly same, then controller output changes as you see over

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here.

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This is the controller output green one.

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So right now it just maintain around 51.634.

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So I just change the set point as you see right now.

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Again when it is near by again controller change its output.

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Otherwise it is maximum.

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And over here you can find out different parameters.

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Proportional parameter.

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Integral parameter and derivative parameter p I'd.

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These are three parameters p I'd.

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Okay.

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So you just from here right now I just want to change this LCD.

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It is not allowing me to change it because it is in automatic mode.

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So right now I just hope on brain function.

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Also, as you see right now it just decrease the value.

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Right now automatic on mode is on.

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I just show you in the manual mode.

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Also, what is the function of this brain function.

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Because it is in automatic mode.

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According to this it will just change the value of these PID parameters.

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Let's say I want to just decrease the set point.

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PID parameters are over here.

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And this is level control valve.

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How much?

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It is open.

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As you see over here.

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So if you just increase this value, you just check.

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What happened over here as you see.

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Okay.

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So basically to tune the P I'd, I already made some videos uh, to tune second order system.

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If the transfer function is of second order you just go through Ziegler-nichols method.

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There is a set of rules.

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You just need to find out the ultimate gain, then ultimate period.

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According to that, you just need to find out these values proportional value, integral value and derivative

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value.

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And then it will just automatically approach where system.

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Right now I just again make it to let's say ten.

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And it is let's say one.

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What happened.

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Basically, the controlling in this process mainly depends on this controller, this PID controller.

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Okay, so I just stop it and I just show you the code.

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Also just press control E over here.

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As you see this one is your PID controller.

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I just press control H, select it.

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This is your P I'd y loop not PD control.

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This is your y loop okay.

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This is your PID controller.

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PID advanced controller.

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It is inside the controller simulation.

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Just go to control and simulation PID.

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Over here you can find out different PID controllers.

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Okay.

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This is your pi d.

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This is your PID advanced.

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Pretty advanced auto tuning for the temperature.

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As you see, there are different parameters.

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This is PID lead lag compensator.

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Okay.

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So I just show you this is your feedback controller and this is your valve.

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As you see this one is just a symbol.

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And this symbol is placed over a Boolean control indicator.

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This is our indicator.

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This is a control okay.

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This is your set point.

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So over here and this is your plant I just show you what is inside the plant system.

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Just go control E again.

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This is your while loop.

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And over here we just put some parameters for the process.

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As you see initial value of process variable static gain.

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Lag dead time load deadband sensor noise plant plant noise.

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All these are added inside the plant okay.

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And this is your transportation delay.

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As you see there is a delay.

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There is a sine wave and there are two sine wave.

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One is blue color, one is red color orange color.

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And the phase difference is there between these two.

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And this is your lead lag compensator okay.

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And this is your PID timing estimator.

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Using these functions you just develop your own PID controller for tank level control system for speed

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control of DC motor.

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Any application in the industry mainly these type of controllers are used that is known as PID controller

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because the cost is very less and easy to implement.

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Okay, so I just go to our system when we just make it to manual mode.

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So right now I just put it to manual mode.

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Right now the parameters are not right because you just find out the parameter value using trial and

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error method based on trial and error method, or using Ziegler-nichols method.

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Okay, because Ziegler-nichols gives a set of algorithm using which you can find out these parameter

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values so your process variable easily track your state set point.

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Right now there is a delay because the PID values are not appropriate earlier.

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The values are okay, we just change the PID values.

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So let's increase this.

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Let's check what happened.

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You can also say check different values like rise time, delay time, settling time, different values.

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I just show you from where you can find out.

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Just go over here, go to the control and simulation parameter in the simulation or here in the container.

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Not uh, over here.

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Nonlinear.

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This one is the PID controller.

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Over here we have the delay.

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And there are different symbols like step signal, pulse, signal, using which you want to test your

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system, and the function that I want to check over here, this one.

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This is the parametric time response function.

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It will give you rise time delay time settling time I just show you.

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Right now it is just adding, let's say just go as you see over here.

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It will show you rise time, peak time, settling time, overshoot, steady state gain, peak value,

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different values.

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It will show you okay.

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So right now this is all about the tank level control system.

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You can.

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Check any example inside the LabVIEW example finder.

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And this is for the tank level control system using automatic PID control system.

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Okay.

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Thank.