Performance Analysis of Bacterial Foraging Optimization Algorithm tuned Fractional order Proportional Integral Derivative controller for Speed control of Permanent Magnet Synchronous Motor

dc.contributor.authorHenok Negash Seifu
dc.date.accessioned2026-02-27T06:36:34Z
dc.date.issued2023
dc.description.abstractMulti-phase Synchronous Motor is a popular industrial application because of its excellent dependability, low cost, and low maintenance needs. It takes less time to develop a vector controller to control the magnitude and phase quantities of PMSM. The stator voltage vector is only controlled in amplitude and frequency using the vector control approach, which ignores the position of the rotor. The purpose of this thesis is to determine which method produces the best results. PID-operating PMSM the controller is simply turned and manages the system by tweaking it using MATLAB/Simulink software tools to change the load torque parameter modification and bacteria algorism. Bacterial algorism using simulation results shows a fractional order PID controller for permanent magnet synchronous motor based on a technique that implements fractional order differential operation
dc.identifier.urihttps://etd.ftveti.edu.et/handle/123456789/40
dc.language.isoen_US
dc.titlePerformance Analysis of Bacterial Foraging Optimization Algorithm tuned Fractional order Proportional Integral Derivative controller for Speed control of Permanent Magnet Synchronous Motor
dc.typeThesis

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