Q: What is Fuzzy Logic
Fuzzy Logic is a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information. In short 'Fuzzy Logic' attempts to mimic human thought process.
A temperature controller working with Fuzzy Logic would compare the actual temperature with the set point to establish how far from the set point the temperature is. Then using predetermined rules, the controller would add more or less heat. By monitoring how fast the temperature changes for a give output change, the controller can use other rules to modify its response.
It is very robust and forgiving of operator and data input and often works when first implemented with little or no tuning.
With Fuzzy Logic, the control output is smooth, despite a wide range of input variations.
Defined rules means that is specifically designed for the process type, i.e. large system lag of temperature systems.
Fuzzy Logic can control nonlinear systems that would be difficult or impossible to model mathematically.
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