Enhancing Electric Ambulance Golf Cart is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Enhancing Electric Ambulance Golf Cart Project Details
| Abstract |
The project looks at how to improve steering control for electric ambulance golf carts, which are essential for moving patients inside hospitals. Four control setups are tested: a standard Proportional‑Derivative (PD) controller, a fuzzy‑logic controller on its own, a series fuzzy‑PD controller, and a parallel fuzzy‑PD controller. All four are simulated in MATLAB/Simulink with steering targets of 15° and 25°. The results are judged by rise time, settling time, and percent overshoot. The data show that fuzzy‑logic based designs generally beat the classic PD controller. They respond faster and produce less overshoot. At the 15° target, the fuzzy‑PD hybrid gives the quickest rise and settling times. At the 25° target,
the pure fuzzy controller rises fastest, but its settling time is longer than that of the series and parallel fuzzy‑PD setups. This material gives M.Tech students a clear framework and simulation steps for studying advanced intelligent steering controls for electric vehicles.
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| Reference Paper |
Enhancing Electric Ambulance Golf Cart Steering Control Through a Comparative Study of Fuzzy – PD Controller |
| Domain |
Electrical Engineering |
| Sub-Domain |
Control Systems / Fuzzy Logic Control |
| PDF Download |
Download / View PDF |
| Get Help |
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