Fuzzy PID Controller Developed Using MATLAB
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This document presents a fuzzy PID controller developed using MATLAB and implemented through the Simulink platform. The controller exhibits significant typicality as fuzzy PID control represents an advanced control technique applicable across multiple domains. The implementation typically involves creating fuzzy logic blocks in Simulink that dynamically adjust PID parameters based on system error and error rate. Through this controller, we can achieve more precise system control to meet specific requirements and operational demands. The fuzzy inference system usually employs Mamdani or Sugeno methods with rule-based parameter tuning algorithms. Therefore, this controller proves highly valuable and has gained widespread adoption in numerous industrial and scientific applications, particularly in systems requiring adaptive control capabilities where traditional PID controllers show limitations.
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