Simulation Design of Blood-pump Intelligent Controller Based on PID-like fuzzy logic Technique | ||
| Engineering and Technology Journal | ||
| Article 12, Volume 38, 8A, August 2020, Pages 1200-1213 PDF (1.59 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.v38i8A.534 | ||
| Authors | ||
| Raghda S. Raheem* 1; Mohammed Y. Y.2; Saleem K. Kadhim1 | ||
| 1University of Technology, Baghdad, Iraq, | ||
| 2Professor, University of Technology-Iraq, Baghdad-Iraq | ||
| Abstract | ||
| This paper presents a blood pump with a bearingless brushless DC motor, supported by speed, torque, and suspension force controllers. Simulation of the pump motor and its controllers tested by MATLAB/Simulink. Two Proportional plus Integral (PI) controllers are employed for controlling the rotational speed and torque of the motor. For controlling the suspension force a comparative study is presented between the Proportional plus Integral plus Derivative (PID) controller and two inputs PID-like Fuzzy Logic Controller (FLC). A particle swarm optimization technique is used to find the best values for the controller’s parameters. The results of the speed and torque controllers exhibit a good time response to reach the desired speed with a short period of time and to decrease the distorting effects of the load torque successfully. Under similar conditions, the PID-like FLC that controls the suspension forces shows a better time response compared to the PID controller. An enhancement in the responses is rated between 18% and 49%, measured using the absolute integral of error criteria on the x and y axes, and in the processing, time rated between 38% and 47%, very high oscillation suppression capability is observed in the PID-like FLC response. | ||
| Keywords | ||
| Bearingless brushless; Suspension Control; Fuzzy-PID; PSO; Ventricular assist device | ||
| References | ||
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