Fuzzy Logic Controller for Water Tank System

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Resource Overview

This program implements a fuzzy logic controller for a simple water tank model. The self-designed controller demonstrates practical water level regulation through pump control, with potential value for educational and implementation reference. The implementation includes fuzzification of input signals and rule-based decision making.

Detailed Documentation

This program features my self-designed fuzzy logic controller implemented for a simple water tank model. The primary objective is to maintain stable water levels by regulating pump operation based on real-time water level monitoring. The implementation employs fuzzy logic control methodology, where input signals undergo fuzzification processing to enable precise pump control, thereby minimizing water level fluctuations. During development, I referenced relevant literature and conducted multiple experimental tests and debugging cycles. The controller utilizes membership functions for water level error and change-of-error as inputs, with a rule base mapping these fuzzy inputs to appropriate pump control signals. While relatively simple in structure, the program demonstrates effective performance in water tank level control and may provide valuable insights for similar implementations.

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