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Fuzzy & PID control practice at once!
Water Level Control by Two Methods
Water tank level as a typical first order lag model can be realized as a control object by applying two methods of Fuzzy and PID control one by one. Accordingly, you can fully learn and understand the features of both controls respectively.
Feature
- Seeing the change of water level is believing
- Indifferent from the temperature control where its control object is only the indication of the temperature, water tank level can be actually monitored by human eyes. Since this training kit is designed to shift the water level from 0% to 100% within approximately 10 seconds, it saves useless waiting time so that you can test it repeatedly during a short period of time.
- Respective graphic display of PID outputs
- There are many PID controller available in the markets. However, the special feature of this education material is its function to separately display in graphics the respective output of the proportional, integral and derivative controls. Since such control outputs are conventionally summed up into only one output as a whole, it was hard to understand well the respective meaning of the proportional, integral and derivative controls. By seeing PID respective output, it becomes easy to understand well the meaning of PID control equation thus causing better understanding of PID tuning method.
- Water level control by two methods (Fuzzy & PID)
- Fuzzy control far better in controllability is also applicable in addition to PID control. To realize a simple step response, Fuzzy combination of position-type and speed-type controls using 2 inputs, 2 outputs and 5 rules can replace the PID control. The rules employed for Fuzzy control are quite different from the mathematical expression of proportional, integral and differential equations used for PID control. The position-type control corresponds to the human "rough tuning" while the speed-type control to the human "fine tuning". Accordingly, such human rules of thumb are translated into certain Fuzzy rules to realize water level control.
 (C) 2004 ADWIN Corp.
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