Superior Adaptive Fuzzy Sliding Mode is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Superior Adaptive Fuzzy Sliding Mode Project Details
| Abstract |
This project outlines a complete framework for designing and simulating an advanced control system for multi‑degree‑of‑freedom robot arms that are driven by electric motors. Conventional sliding‑mode controllers often produce high‑frequency chatter and react poorly to uncertain parameters or external disturbances. To overcome these problems, we study an adaptive fuzzy sliding‑mode controller that combines the strong tracking ability of sliding‑mode control with the flexible modeling power of fuzzy logic. The fuzzy logic part continuously estimates unknown dynamics and disturbances, while the adaptive laws adjust the controller’s parameters in real time. This approach does not need exact mathematical models of the robot or its electric actuators. We also include the dynamics of
the actuators—specifically DC motors—so the control design reflects real‑world behavior. Using a detailed mathematical model and Lyapunov stability analysis, we prove that the closed‑loop system is asymptotically stable. The project also supplies code and simulation instructions to test how well the controller tracks desired trajectories, reduces chatter, and stays robust when the payload changes or external disturbances occur.
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| Reference Paper |
Superior Adaptive Fuzzy Sliding Mode Control of Electrically Driven Robot Manipulators |
| Domain |
Electrical Engineering |
| Sub-Domain |
Control Systems / Sliding Mode Control |
| PDF Download |
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| Get Help |
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