Brushless DC motor fed by PEM fuel cell stack for mini UAV's

Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell stack, namely, a Proton-Exchange Membrane Fuel Cell (PEMFC), one of the promising renewable energy technologies, is chosen for a brushless DC motor. To improve the performance of PEMFC, an efficient maximum power point tracking (MPPT) algorithm was applied to the DC/DC boost converter. To this end, the perturbation and observation (P&O) algorithm were developed. This work proposes an adaptive controller proportional-integral (PI)-fuzzy logic speed for the BLDC. To evaluate its performance, the proposed controller was simulated under several conditions: load disturbance and reference speed variation. This controller is analyzed and compared with the classical PI controller. Therefore, the control performance parameters, such as rise time, settling time, steady-state error, and overshoot, were determined and compared. This system is analyzed and simulated using MATLAB/Simulink software.

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Brushless DC motor fed by PEM fuel cell stack for mini UAV's

Cited by 3 publications

References 8 publications

Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Anti-windup self-adaptive PI-Fuzzy speed controller for brushless DC motor

Adaptive Controller PI-Fuzzy Logic Speed for Brushless DC Motor Drive Supplied by PEMFC Cell Optimized by P&O

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