Sliding-Mode Control IT2 Fuzzy Nonlinear is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Sliding-Mode Control IT2 Fuzzy Nonlinear Project Details
| Abstract |
This project designs and studies a robust sliding‑mode control (SMC) system for interval‑type‑2 (IT2) fuzzy nonlinear singularly perturbed plants that run over a network. An IT2 fuzzy model is used to capture the plant’s parameter uncertainties and nonlinear behavior. A disturbance observer is added to the controller so it can estimate and cancel external disturbances in real time. To save network bandwidth, a dynamic event‑triggered mechanism (DETM) with an adaptive threshold is employed; it sends data only when needed, keeping performance intact. The controller uses a fuzzy integral sliding surface built with a nonparallel distribution compensation design, which gives the controller more flexibility. Stability is proved with a membership‑function‑dependent method,
producing relaxed conditions that ensure global asymptotic stability at a specified performance level. Simulations on electric‑circuit models confirm that the approach reduces disturbances, saves communication bandwidth, and handles dynamics that evolve on multiple time scales. The work also offers step‑by‑step guidance for modeling, simulating, and evaluating advanced networked sliding‑mode controllers.
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| Reference Paper |
Sliding-Mode Control for IT2 Fuzzy Nonlinear Singularly Perturbed Systems and Its Application to Electric Circuits: A Dynamic Event-Triggered Mechanism |
| Domain |
Electrical Engineering |
| Sub-Domain |
Control Systems / Sliding Mode Control |
| PDF Download |
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| Get Help |
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