Implementation and experimental validation of a hybrid intelligent sliding mode control strategy for induction motor drives
Ngoc Thuy Pham · 2026
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Description
Ngoc Thuy Pham presents, in a 2026 engineering study, a smarter controller for induction motors, the workhorse motors of industry. Precise speed control gets hard when loads shift and motor values drift with heat. The design pairs a small neural network with a rugged sliding-mode controller, a method that forces the motor back on track despite disturbances. A further routine trims the magnetic field level in real time to save energy.
Settings were tuned by a swarm optimization method that mimics flocking search. Bench tests on a Texas Instruments processor chip showed tighter speed tracking and faster recovery from upsets than standard control. Energy use also fell under the flux-trimming routine. Factories running pumps and conveyors could gain efficiency from control software alone, with no new motor hardware required.
Catalog record
| CREATOR | Ngoc Thuy Pham |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 181160 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |