This study investigates the use of a closed-loop speed control approach based on fuzzy logic for brushless DC (BLDC) motors in Electric Vehicle (EV) applications. The primary objective is to overcome ...

Reinforcement learning offers efficient solutions for optimizing complex decision-making tasks through continuous state-action-reward cycle with real-time adaptability. This work presents twin delayed ...

In today’s world, motors are ubiquitous, powering everything from household appliances to industrial machinery. The importance of optimizing motor control for energy efficiency cannot be overstated, ...

Note: This specialization requires purchase of a hardware kit in order to apply your knowledge and skill with real world tools. The hardware will be used to complete the lab exercises across the four ...

Let us begin this session by revisiting a nostalgic motor control IC—the AN6651—designed for rotating speed control of compact DC motors used in tape recorders, record players, and similar devices.