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What Is Fuzzy Logic?

What Is Fuzzy Logic?

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2 Tutorial<br />

Working in Simulink Environment<br />

In this section...<br />

“An Example: Water Level Control” on page 2-86<br />

“Building Your Own <strong>Fuzzy</strong> Simulink Models” on page 2-93<br />

An Example: Water Level Control<br />

<strong>Fuzzy</strong> <strong>Logic</strong> Toolbox software is designed to work in Simulink environment.<br />

After you have created your fuzzy system using the GUI tools or some other<br />

method, you are ready to embed your system directly into a simulation.<br />

Picture a tank with a pipe flowing in and a pipe flowing out. You can change<br />

the valve controlling the water that flows in, but the outflow rate depends on<br />

the diameter of the outflow pipe (which is constant) and the pressure in the<br />

tank (which varies with the water level). The system has some very nonlinear<br />

characteristics.<br />

A controller for the water level in the tank needs to know the current water<br />

levelanditneedstobeabletosetthevalve. Yourcontroller’sinputisthe<br />

water level error (desired water level minus actual water level), and its output<br />

istherateatwhichthevalveisopeningorclosing.Afirst pass at writing a<br />

fuzzy controller for this system might be the following:<br />

1. If (level is okay) then (valve is no_change) (1)<br />

2. If (level is low) then (valve is open_fast) (1)<br />

3. If (level is high) then (valve is close_fast) (1)<br />

2-86

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