![]() A reshaped class topper optimization algorithm (RCTO) is developed to optimize rules of the FIS to establish optimal coordination among the input and output variables of the FIS. ![]() The gains of the PID controller (proportional gain, derivative gain, and integral gain) are set as outputs of the FIS. Then, a fuzzy-PID control structure is formulated such that the error and change in error between the desired airway pressure and actual airway pressure of the ventilator are set as inputs to the FIS. The ventilator is assumed to operate in pressure control mode. ![]() Firstly, a patient-hose blower-driven artificial ventilator model is considered, and the transfer function model is established. In order to improve the pressure tracking response of an artificial ventilator system, a novel proportional integral derivative (PID) controller is designed in the present work by utilizing an optimal rule-based fuzzy inference system (FIS) with a reshaped class-topper optimization algorithm (RCTO), which is named as (Fuzzy-PID).
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