長期植入式機械輔助循環系統能否隨人體生理所需自動調適心臟輸出量（Cardiac Output），此為輔助循環系統能否長期在體內正常運作的關鍵因素。本論文旨在發展一套能夠隨著生理循環變化而自動調適的全人工心臟控制器；在發展此控制系統之前，應先行建立一套系統性能模擬程式以為基礎。一組設計良好的長期植入式機械輔助循環系統其關鍵在於建立一套動力模式。系統動力模式建構將以模組化的方式將系統分成數個次系統，每個次系統的功能並依據流體力學基本守恆律或電磁學公式將次系統動力寫成性能方程式，再將各次系統串接而成全系統性能方程組。全人工心臟是依照容積耦合（Volumetrically-coupled）法則運作，即利用電動液壓泵交替將左右心室的血液容積抽入或推出。至於本系統的關鍵參數則是以次系統測試台上所獲得的實驗數據來加以識別。系統性能模擬方程式以4階Runge-Kutta時間積分方法配合LU法來求解矩陣轉置問題（Matrix Inversion），當旋轉閥門開時的數值奇異問題，本文以降低系統階數來減輕其奇異特性。此一閉迴路系統模擬包含驅動機構及猶他生理模型非常詳細的揭示了許多關於人工心臟和人體心血管系統分別在正常和運動情況下的互動關係的有用認識。文中亦探討人工心臟用以平衡左右心輸出量機構對生理循環的影響，系統性能模擬程式證實臨床上的觀察就是當不恰當的分流（Shunt Flow）設計會使肺部壓力升高。
　　本文提出一個類似史達林（Starling-like）心臟節律方法，在此自動節律下心輸出量與回流壓力（Return Pressure）成正比。控制邏輯會依據右心舒張或腔靜脈的平均壓力，決定系統應該對應的心搏數（Heart Rate），參考模型則依據心搏數決定主動脈及肺動脈壓力波形。最終藉由改變直流與步進馬達的轉速來達到生理控制的目的。自適應參考模型類神經控制技術應用於驅動直流馬達以完成適當的動脈壓力輸出。一般式訓練（General Training）能提供此類神經控制器具有一個合理的初始加權值，這些權值再經由特別的訓練（Special Training）程序及系統的Jacobian來修正，此類神經控制器顯示出其具有快速達到期望壓力之輸出。包函比例（Proportional）、比例及積分（Proportional and Integration）與增益值排程（Gain Scheduling）共三種類似史達林的節律控制邏輯被提出及驗證。此三種邏輯均可達到史達林心輸出調節的功效，而增益值排程的方法可視為最恰當且快速的節律方法。

　　Whether an implantable mechanical circulation support system can be accepted by patients as a long-term device depends primarily on the ability of the implanted system in delivering sufficient cardiac output according to the physiological requirements. The present research aims at developing a controller that can support the total artificial heart (TAH) in operating autonomously in response to the physiological changes. To accomplish this design objective, a system performance simulation code has to be constructed first as the framework of analysis. Modular approach has been adopted in the present system dynamics construction of the NCKU electro-hydraulic total artificial heart (EHTAH). Modules have been modeled using subsystem performance maps, fluid dynamic conservation laws, and/or electromagnetic and circuit equations, respectively. The current NCKU EHTAH design employs an electro-hydraulic pumping system that alternatively ejects and fills the right and left ventricles in a volumetrically-coupled manner. Critical parameters of the NCKU EHTAH system were identified using experimental data obtained from the subsystem rig test results, resulting in a dynamic system of 15 state variables representing critical physical characteristics of the EHTAH system. Time-marching of these system equations were performed using 4th order Runge-Kutta method in conjunction with the lower-upper decomposition for the matrix inversion. Numerical singularities occur at the instances of valve opening and closing. This singular behavior was alleviated by solving a reduced order system. Closed-loop simulations of the coupled EHTAH and the Utah Circulation Model (UCM) with bronchial bypass modification reveal in detail many useful understandings of how TAH and human cardiovascular system interact. The influence of TAH shunt flow design was also studied to see whether the present TAH can deliver differential cardiac outputs as required by the left and right heart pumping characteristics. It is demonstrated in the system performance simulation that improper shunt flow design will result in the pulmonary pressure elevation as already observed in the clinical experiences.
　　A Starling-like cardiac control scenario is proposed in the present work. In this Starling-like auto-regulation, cardiac output increases in accordance with the elevation of the blood return pressure. A reference model was constructed with right ventricle diastolic or venous return mean pressure considered as the input and the heart rate and subsequently the desired aortic and pulmonary arterial pressure waveforms as the output. Physiologically compatible TAH actuation is fulfilled by regulating the switching and torque motor speeds subject to the control logic and the reference model developed. In the pressure tracking control design, the method of neural adaptive model reference control was employed. General training has been enforced to provide a reasonable initial guess of the weights associated with the neural network of the controller. These weights were fine tuned via a specialized training procedure for which the plant Jacobian was used. The trained neural controller shows a fast response in the pressure tracking control. Three Starling-like control logics, namely, error proportional, proportional and integration of error, and gain scheduling, were proposed and examined. All three logics can lead to Starling effect blood regulation, however with different transient behaviors. Gain scheduling logic is fount most appealing for it can regulate the cardiac output change in a rapid, monotonic manner.

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