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Blending AI and fuzzy logic in control design
Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...
Abstract: Based on the mathematical model of the Brushless DC motor (BLDCM), the simulation model of the BLDCM control system in MATLAB has been built. The self-adaptive fuzzy PID controller is ...
Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...
This repo contains the solution to problems such as: 1. Time-Domain Specifications 2. Frequency-Domain Specifications 3. PID Controllers using the Matlab, Simulink and Python. A MATLAB & Simulink ...
Abstract: This brief focuses on developing a hybrid fractional-order PID (FOPID) controller enhanced with fuzzy logic to regulate the output voltage of a DC-DC Buck converter. The FOPID controller ...
Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...
ABSTRACT: To solve the problem of self-balancing two-wheeled vehicle, this article presents double cascade PID control algorithm. This method reduces the coupling of balance control, speed control and ...
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