DCMotor PID Fuzzy MPC Comparison mp4

PID vs Fuzzy Logic vs MPC — DC Motor Speed Control Comparison | MATLAB Simulink Project In this video, we compare three closed-loop speed control strategies — PID, Fuzzy Logic, and Model Predictive Control (MPC) — on the same DC motor + mechanical load system, fully modeled and simulated in MATLAB/Simulink using Simscape Electrical. 🔧 What's covered: • Real physical model of a DC motor with mechanical load and disturbance torque • PID controller (auto-tuned using Control System Toolbox) • Fuzzy Logic controller (Mamdani inference, 7×7 rule base) • Model Predictive Control (finite-horizon, receding horizon law) • Side-by-side simulation results — rise time, overshoot, settling time, steady-state error 📊 This kind of controller-comparison study is ideal for: • M.E./M.Tech Electrical project submissions • Final-year Diploma/B.E./B.Tech projects • Seminar and research paper reference material 🎓 Need help with your own MATLAB/Simulink project — motor control, power electronics, EV systems, or renewable energy simulation? Eduforge India provides complete project support: topic selection, modeling, simulation, report writing, and IEEE paper assistance — from Diploma to PhD level. 📩 Contact Eduforge India to get started on your project. Eduforge India — Your Research Partner. #MATLAB #Simulink #ControlSystems #PIDController #FuzzyLogic #ModelPredictiveControl #ElectricalEngineering #MTechProject #EduforgeIndia #EngineeringProjects