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PID & Fuzzy Based Hybrid Rule Set Design for Higher Order Transfer Functions

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Project Description

Fuzzy logic (FL) controllers based on fuzzy set theory are used to represent the experience and knowledge of a human operator in terms of linguistic variables that are called fuzzy rules. It is also well-known that PID controllers are particularly adequate for processes whose dynamics can be effectively modeled by a first or second order system. A novel method based on the fuzzification of the set-point weight has been proposed for the tuning of PID controllers. The approach has been shown to be very effective in the set-point following for a large number of processes, whilst the load disturbance attenuation performances obtained are preserved or improved. The devised control structure seems to be particularly appropriate to be adopted in industrial settings, since it requires a small computational effort it is easily tuned and it is compatible with a classical PID controller; that is, it consists of a module that can beaded or excluded without modifying the parameters of the existing PID.

Modules Used
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Basic Matlab
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MATLAB GUI
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Fuzzy Logics
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