Fuzzy Logic Code

[Tabita Knezevic]

FuzzyLogic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1, instead of just the traditional values of true or false. It is used to deal with imprecise or uncertain information and is a mathematical method for representing vagueness and uncertainty in decision-making.

Fuzzy Logic is based on the idea that in many cases, the concept of true or false is too restrictive, and that there are many shades of gray in between. It allows for partial truths, where a statement can be partially true or false, rather than fully true or false.

The fundamental concept of Fuzzy Logic is the membership function, which defines the degree of membership of an input value to a certain set or category. The membership function is a mapping from an input value to a membership degree between 0 and 1, where 0 represents non-membership and 1 represents full membership.

Fuzzy Logic is implemented using Fuzzy Rules, which are if-then statements that express the relationship between input variables and output variables in a fuzzy way. The output of a Fuzzy Logic system is a fuzzy set, which is a set of membership degrees for each possible output value.

In summary, Fuzzy Logic is a mathematical method for representing vagueness and uncertainty in decision-making, it allows for partial truths, and it is used in a wide range of applications. It is based on the concept of membership function and the implementation is done using Fuzzy rules.

In the boolean system truth value, 1.0 represents the absolute truth value and 0.0 represents the absolute false value. But in the fuzzy system, there is no logic for the absolute truth and absolute false value. But in fuzzy logic, there is an intermediate value too present which is partially true and partially false.

Definition: A graph that defines how each point in the input space is mapped to membership value between 0 and 1. Input space is often referred to as the universe of discourse or universal set (u), which contains all the possible elements of concern in each particular application.

I am a complete novice to coding but am building a hydroponics drip feeder system which is supposed to use fuzzy logic control to automatically change the pH and nutrient levels of the water before it gets pumped back into the tank above. There is a source tank above which uses gravity to make the water flow down through the drip emitters then into the bottom tank where the sensors/actuators are set up. When the top tank in empty as defined by the ultrasonic sensor then the code will start and the fuzzy logic will use readings from the TDS, temp and pH sensors to determine how long the solenoid valves for the nutrients and pH up/down solution will stay open for. A small pump will mix and if the levels are reached (pH between 5.5 and 6.5 and nutrients above 850 ppm) then a second pump will turn on to transfer the water back to the top tank.

I have had endless problems with this and the equipment (although it seems that the issue was in fact the arduino as it has somehow been storing code and is not resetting itself properly so I have had to purchase a new one). My big issue now I want to combine the code for the nutrient sensor into the main code but it makes the output of the fuzzy logic zero as soon as it is added. I have narrowed it down to this line "GravityTDS gravityTds;" as as soon as I add this the rest stops working. I don't know enough about coding to figure out what it actually does and have had no success with online research. I wonder if anyone can shed some light onto this. Please bear in mind I am a complete novice and know very little about coding. I have currently set the ultrasonic senor to give a reading of 36 so I can see the code run and the same for the two inputs for the fuzzy logic being fixed values rather than using the sensor values (and also because every time I set the equipment up something else seems to have broken down so I am now at a stage of just being desperate just to at least show I can get the code to work even if I can no longer show the practical side).

I would weigh how much liquid is in the left over tank , measure your PH etc and then calculate what is needed to get the concentration right in the top tank after pumping ( or easier still measure it there where the volume is known .

If you want you could then add a controlled trim to reduce any errors .

You need to store any result control values , so it will work after switching off .

You need to tell the forum what type of Arduino you are using. Otherwise everyone will assume you are using an Uno R3. If you later tell the forum you are using some other Arduino model, that would be annoying.

The fuzzy logic control is the essential part of the project. Its is an electrical engineering degree with the aim to create a control system so without this I fail as it is then too simplistic. No it is not for a whacky backy farm although I find it very funny that is what everyone thinks of as soon as I mention hydroponics. It is to take into account the renewable energy part of my degree and as an option for vertical farming for domestic properties. When I add the code for the TDS sensor the two results which should show different values, are coming out as zero even though the fuzzy logic control values are still changing. It means the pH up/down and nutrient solenoid valves are not going to open as the time is always zero regardless of what the pH and nutrient levels are. It is an arduino uno I am using but also an eleg uno r3 since the arduino uno was retaining code. It seems to work the same way in both though

Sorry I don't understand what you mean. Like I say I don't know much about coding. The ultrasonic sensor has been fixed to read set distance just to see the code working without having to constantly set up the whole system. It would normally have distance = (duration / 2) / 29.1; in place of distance = 36; so it does actually use it. the ph and TDS sensors would be used as input 1 and 2 but since they are not working I have set them to a value to test the code. I have no idea what a bubble sort is. I have set up all the components with the sensors on a breadboard and everything works until you add the code for the TDS and temp sensors. This code works fine on its own but not together with the rest. Likewise the fuzzy logic, pH and ultrasonic sensors all work together when tested on a breadboard with real sensors but as soon as I add the code for TDS then the output goes to zero and everything stops working

which worked fine but someone pointed out that it could input 1 could never be true (although it behaved as it was supposed to). I am trying to make it that the code will loop only if the pH is NOT between 5.5 and 6.5 i.e. the loop will stop when running when the pH is between 5.5 and 6.5. It actually worked fine when I was using a random number generator like the fuzzy logic example code shows you to do. But I thought I thought it may cause a conflict so tried to change it

I think I understand what you mean but I cannot get the code to work if I remove the int before input1. I want it to use the (phValue) for input1 and thought I had it all working fine when I tested it with the sensor but to be honest I have lost track now with the endless issues I have had with this project

hey all.. i want to ask about my task. i searching about fuzzy logic arduino program and only find for Triangular member function, while the task that I am working on is trapezoidal member function. can you all help me??

If by that you mean "has someone already written a library or example code to use a trapezoid not a triangle" I wouldn't know. But if nobody has, that's not to say it can't be done in Arduino, just means you have to roll your own.

To generate code for evaluating fuzzy systems, you must first design a fuzzy inference system (FIS). For more information, see Build Fuzzy Systems at the Command Line, Build Fuzzy Systems Using Fuzzy Logic Designer, and Tuning Fuzzy Inference Systems.

Generating code using MATLAB Coder does not support FIS objects or FIS tree objects directly. Instead, to generate code for evaluating a fuzzy system, you must convert your FIS or FIS tree into a homogeneous structure using the getFISCodeGenerationData function.

If your type-1 or type-2 FIS is stored in a FIS file, you can embed the FIS data in the generated code by reading the FIS data from within the evaluation function. This workflow is not supported for FIS trees.

Specify a function for evaluating a fuzzy system for input vector x. Within this function, read the FIS data from the file predictType2.fis. Since the stored FIS is a type-2 system, you must specify the FIS type when calling getFISCodeGenerationData. If your stored FIS is a type-1 system, you do not have to specify the FIS type.

To change the FIS properties after compilation, you can generate code for evaluating a FIS that is read from a FIS file specified at run time. In this case, the FIS data is not embedded in the generated code. Modifying the fuzzy system properties after compilation using a FIS file is not supported for FIS trees.

Each time you run evaluatefis4, the function reloads the fuzzy system from the specified file. For computational efficiency, you can create a function that does not reload a previously loaded FIS. For example, the evaluatefis5 function loads a FIS from a FIS file only when a new file name is specified.

You can use this function to evaluate another FIS with the same number of inputs. For example, save an intermediate version of the FIS from Predict Chaotic Time Series Using Type-2 FIS to predictTimeSeries2.fis, and evaluate the FIS using the MEX file for the same input values.

The preceding examples generated code for double-precision data. To generate code for single-precision data, specify the data type of the input values as single. You can use single-precision data when evaluating FIS objects and FIS tree objects. For example, generate code for evaluatefis2 using single-precision data.

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