Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump

Artificial heart pump (AHP) is employed to replace the native damaged and perform its functions. Bearingless brushless DC (BBLDC) motors are used for implementation of AHP. BBLDC motor a highly nonlinear model with uncertainties mathematical hard be found accurately. In this paper, simulated. Proportional plus integral (PI) controller proposed control rotor suspension current. Furthermore, type 2 proportional derivative-like fuzzy logic (T2 PID-Like FLC) (x, y) positions. Particle swarm optimization (PSO) technique find best scaling factors optimize inputs membership functions distribution within universe discourse. Simulation results showed enhancement in levitating required position, when using T2 PID-like FLC as compared 1 controller. The measured absolute error (IAE) cost function achieve 64.18% 81.81% x y axes respectively. Performance enhanced by 20%, which decreases oscillation increases ability withstand system disturbances nonlinearity