TY - GEN
T1 - Physiological Control of Artificial Heart Pump Based on the Hierarchical Thought and the Fuzzy Algorithm
AU - Liu, Xin
AU - Qu, Hongyi
AU - Meng, Lingwei
AU - Huang, Chuangxin
AU - Chen, Qi
AU - Wang, Qiuliang
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd.
PY - 2023
Y1 - 2023
N2 - A multi-objective physiological control method of artificial heart pump based on hierarchical thinking and variable universe fuzzy algorithm is proposed in this paper. Its innovation lies in that the control system is divided into three layers: Motor speed control layer, heart pump flow feedback control layer, and multi-objective physiological control layer. Firstly, for the multi-objective physiological control layer, with heart rate, mean arterial pressure, minimum pump flow, physical activity level and clinical status as inputs, and the target value of the cardiac pump flow feedback control layer as output, a variable universe fuzzy controller is designed. Secondly, for the heart pump flow feedback control layer, a flow adaptive feedback adjustment mechanism is introduced to stabilize the blood flow at the target value. Finally, for the motor speed control layer, a sliding-mode double closed-loop control method for the motor of artificial heart pump is proposed, so that the pump speed can respond quickly and stably to provide stable blood flow output. The results show that this method can not only improve blood pulsatility while satisfying blood perfusion, but also dynamically adjust the pump speed according to the patient’s state, thereby improving the patient’s quality of life.
AB - A multi-objective physiological control method of artificial heart pump based on hierarchical thinking and variable universe fuzzy algorithm is proposed in this paper. Its innovation lies in that the control system is divided into three layers: Motor speed control layer, heart pump flow feedback control layer, and multi-objective physiological control layer. Firstly, for the multi-objective physiological control layer, with heart rate, mean arterial pressure, minimum pump flow, physical activity level and clinical status as inputs, and the target value of the cardiac pump flow feedback control layer as output, a variable universe fuzzy controller is designed. Secondly, for the heart pump flow feedback control layer, a flow adaptive feedback adjustment mechanism is introduced to stabilize the blood flow at the target value. Finally, for the motor speed control layer, a sliding-mode double closed-loop control method for the motor of artificial heart pump is proposed, so that the pump speed can respond quickly and stably to provide stable blood flow output. The results show that this method can not only improve blood pulsatility while satisfying blood perfusion, but also dynamically adjust the pump speed according to the patient’s state, thereby improving the patient’s quality of life.
KW - Artificial heart pump
KW - Hierarchical algorithm
KW - Physiological control
KW - Varitheory domain fuzzy algorithm
UR - https://www.scopus.com/pages/publications/85173005396
U2 - 10.1007/978-981-99-3404-1_15
DO - 10.1007/978-981-99-3404-1_15
M3 - 会议稿件
AN - SCOPUS:85173005396
SN - 9789819934034
T3 - Lecture Notes in Electrical Engineering
SP - 171
EP - 179
BT - The proceedings of the 10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022
A2 - Yang, Qingxin
A2 - Ma, Weiming
A2 - Dong, Xuzhu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022
Y2 - 7 December 2022 through 8 December 2022
ER -