Fuzzy PI modification for decision making simulation on a conveyor

An important procedure in conceptual and design engineering is the ability to simulate processes using mathematical models to emulate, as far as possible, the reality of the physical model. An important feature of these models is to save time and money in the steps prior to construction, starting and parameter tuning of the project; the ability of each model to deal with different types of situations which it must handle, within and outside its operational limits, may show design failures that can be easily corrected in the early stages of conceptualization and designing. On the other hand, if a decision-making system is integrated, the model may be able to minimize the effects of disturbances, both internal and external, without the need of a human operator, which adds a level of automation to reduce errors and unwanted stops. This paper presents a LabVIEW based simulator for testing conveyors that handles and route unitary loads, it has the ability to simulate different models of three phase squirrel cage electric motors and show their responses to disturbances or unitary loads applied. The type of controller used is a Fuzzy PI through a variable frequency drive, which uses the theory of Variable Voltage Variable Frequency, it can establish the set point for speed operation in a short period of time and control it with variations smaller than 5% when a load is applied, it also maintain the torque in a variation smaller than a 5% to ensure the movement. The approach is to modify a decision making system, using the data for each motor, to adapt the fuzzy inference system to the particular operating conditions and ensure its control. An important issue is that the data used are expressed in the Per Unit System, this offers the advantage of a better visualization of the relationships of the results, working to each tested model of motor.