Simulation design of blood-pump intelligent controller based on pid-like fuzzy logic technique

This paper presents a blood pump with a bearinglessbrushless 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 speedand 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 ofthe 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 olute 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. A particle swarm optimization technique is used to find the best values for the controller's parameters. The results ofthe 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 olute 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.