School of Life Science and Bioengineering, Beijing University of Technology, Beijing, People's Republic of China.
ASAIO J. 2011 May-Jun;57(3):152-7. doi: 10.1097/MAT.0b013e31820bff95.
Because of the special structures of intraaorta pump, the pressure and blood flow sensors cannot be implanted in the blood pump. Moreover, the cardiovascular pump is a very complex system that has no accurate model but much uncertainty and disturbance. Hence, the conventional control algorithm cannot achieve good performance. To overcome this problem, on one hand, a cardiovascular pump model is established. The heart rate in this model is chosen as a controlled variable that is a nonlinear function of the mean arterial pressure. On the other hand, a fuzzy logic feedback control algorithm, which maintains the actual heart rate tracking the desired heart rate, is designed. Computer simulations are performed to verify the robustness and dynamic characters of the controller. The simulation results demonstrate that the controller can maintain the actual heart rate tracking the desired one without static error. When the desired heart rate changed from 100 to 80 bpm, the settling time is <10 seconds. When the peripheral resistance increases from 1.0 to 0.7 mm Hg/ml, the settling time is <10 seconds.
由于主动脉内泵的特殊结构,压力和血流传感器不能植入血液泵中。此外,心血管泵是一个非常复杂的系统,没有准确的模型,但有很多不确定性和干扰。因此,传统的控制算法无法达到良好的性能。为了克服这个问题,一方面,建立了心血管泵模型。该模型中的心率被选为一个受控变量,它是平均动脉压的非线性函数。另一方面,设计了一种模糊逻辑反馈控制算法,该算法保持实际心率跟踪期望心率。进行了计算机模拟以验证控制器的鲁棒性和动态特性。仿真结果表明,控制器可以在没有静态误差的情况下保持实际心率跟踪期望心率。当期望心率从 100 次/分变为 80 次/分,调整时间<10 秒。当外周阻力从 1.0 毫米汞柱/毫升增加到 0.7 毫米汞柱/毫升时,调整时间<10 秒。