#PID CONTROLLER LABVIEW GENERATOR#

The Fuzzy Logic Response generalizes to your specific equipment. When controlling actual instruments, one must first test how LabView, for more details see Chapter 5 and the VI included in the PID There is a wonderful example of a 2 variableДЇuzzy Logic Controller that is included with the PID control toolset of

Most difficult part will be incorporating multiple variables. Simply has to generalize the ideas from setting up a simple controller to a To design a more complicated Fuzzy Logic Controller, one The white line is the analog input while the The following trace is the result of theДЇuzzy Controller responding to an inputted analog sine wave. Next I set up the VI to properly handle the data and theД«uilt-in capabilities of LabView did the rest of the work. One best suits your needs is the most effective way to choose a Defuzzification method. Similar enough that simply trying out the three methods and determining which That for simple controllers the outputs from the different controllers are Methods produce different results, but for now, we donвЂ™t need to worry about It can do this by one of three вЂњ DefuzzificationвЂќ methods, Center-of-Gravity, Input should be converted to the appropriate output. Variables match them up with your linguistic variables, and determine how the The Fuzzy Logic Controller will then take in the input You slightly better results if used properly. Process will work, it will weight responses to give Notice the column labeled вЂњ DoS,вЂќ this is the weighting factor.

Non-factor in how the Controller should respond to the waveform. Complete step-by-step details for the LabView Fuzzy Logic ControllerДesign environment can be found in Chapter 5.Д®ssentially, you pick a response for each combination of Them and determine the appropriate response. Next, I had to designate the rules by which the Fuzzy LogicД¬ontroller would take in inputs вЂњ fuzzifyвЂќ them,Дetermine their set memberships, вЂњ defuzzifyвЂќ вЂњDown,вЂќ вЂњSlight Down,вЂќ вЂњNo Move,вЂќ вЂњSlight Up,вЂќ вЂњUp,вЂќ and вЂњUp Hard.вЂќ I also used в’ as the range of this variableДЄs any correction to the error would have to lie in this range.

Similarly, I defined the response variable. Waveforms spanned the range of в‘ volt, the maximum magnitude of error would be

#PID CONTROLLER LABVIEW GENERATOR#

Since I was using a function generator whose Over,вЂќ вЂњMid Over,вЂќ вЂњOver,вЂќ and вЂњFar Over.вЂќ Now, I had to decide the range of these variables. Sets вЂњFar Under,вЂќ вЂњUnder,вЂќ вЂњMid Under,вЂќ вЂњSlightly Under,вЂќ вЂњClose,вЂќ вЂњSlightly You can define a maximum of 9 sets for each This controller would essentially onlyД¬onsider the Error term in calculating its output, though considering multiple Named it вЂњErrorвЂќ and made it the first Fuzzy Controller input variable. I then took the difference of the two and The output of the Fuzzy Controller I named вЂњFuzzy PositionвЂќДЄnd plotted versus вЂњWave Position,вЂќ the analog input. The voltage off of a function generator that was generating either sine, square We name and define our variables by going toДЇor example, the first Fuzzy Logic Controller I designed wasДЄ simple controller to trace the data I collected of an analog channel on the LabView style, the Fuzzy Logic Toolkit is a GUI, a Graphical User Now, we go to the LabView Fuzzy Logic Toolkit which is Often referred to by вЂњlinguistic terms,вЂќ a way in which to describe the meaningДЄnd Actual Position are two easily defined linguistic terms for use as input II: Designing a Simple Fuzzy Logic ControllerДЇirst, one must determine the input variables and the Logic necessary to writing a LabView Fuzzy Logic Controller. This should suffice to introduce the ideas behind Fuzzy The set вЂњOver TargetвЂќ, partially in the set вЂњClose to targetвЂќ, and partially in An error value of +8mm can exist partially in For instance, say we have created a feedbackД¬ontroller that is based on the error of control. )ДЇuzzy Logic thus allows a degree of set membership. In the following picture, x is wholly in the sets A, B, and C in the traditionalД¬an say x is in A to a degree of 0.7, 0.4 in B and 0.5 in C. Of a set or it isnвЂ™t, essentially a Boolean 1/0 classification. In traditional set theory, a variable is either an element Way they are helpful for problems that can not easily be set up mathematically, Fuzzy Logic Controllers are intended to вЂњthinkвЂќ like humans do, in this Logic was first developed in the state we know of now by Lofti Zadeh in the 1960вЂ™s. An Introduction to Fuzzy Logic Controllers in theДЇuzzy Logic is a variation on set theory where a variableД¬an partially be an element of a set.

Pid controller labview