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Un controlador PID (controlador proporcional, integral y derivativo) es un mecanismo de control simultáneo por realimentación ampliamente usado en sistemas de control industrial

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00:08Hello friends, today I present to you the proportional, integral, and derivative controller.
00:15Here I use the normal x operation, which serves to normalize, followed by the scale x operation, which serves to scale.
00:24To do this, I will discuss in the standard block x the following values.
00:29Min equals 0, minimum analog input value in decimal, max equals 27648, maximum analog input value in decimal,
00:38value equals U30, analog input address used, out equals MD200, double word 32 bits mark to store normalized value.
00:48In the scale x block, assign the following values.
00:52Min equals 0, 0, minimum scale value equals 0V, max equals 10, 0, maximum scale value
00:59equal to 10V, value equal to MD200, double word mark 32 bits that stores normalized value.
01:05Out equals MD210, double word 32 bits to store scale value.
01:14For this I will describe what was done in factor and I, through normalization and scaling, for the development
01:20Regarding the programming of a tank, which we have here is simply an open tank, which we have already modeled,
01:27even from this system on another occasion, where we have an inlet valve that will be my control valve, this
01:33The valve will then have an opening, from 0 to 100%, or from 0 to 1.
01:41To do this, I will move on to the simulation.
01:54Here I will use the block for the proportional, integral, and derivative controller that TIA Portal has, whose configuration will deal with the setpoint
02:01PV and CV are configured as percentages.
02:14Here the PV disturbance and the CV established as a percentage will be presented.
02:59We observe the red signal on the filling valve at some point; it will stabilize as it goes on.
03:04filling the tank.
03:05My goal is to reach an optimal measurement; when the process is slowed down, it will automatically stabilize.
03:11just analyze how much you need to enter.
03:14The liquid appears quite stable; it's not like the control or not, what we're looking for is that the
03:18setpoint is equal to the process variable.
03:43For development, a certain disturbance must be forced, to see how it deals with stability.
03:57The goal is to make the setpoint equal to the process variable.
04:25Thank you for your attention.
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