【摘要】：糖尿病已經(jīng)逐漸發(fā)展成為一個(gè)危害人類健康和社會(huì)的全球性疾病,人工胰臟系統(tǒng)被認(rèn)為是治療糖尿病最有前景的方法之一。隨著連續(xù)血糖監(jiān)測(cè)系統(tǒng)和胰島素泵的發(fā)展,人工胰臟系統(tǒng)的硬件部分已經(jīng)滿足臨床要求,但是由于人體血糖調(diào)節(jié)過程是一個(gè)非線性、強(qiáng)擾動(dòng)和非穩(wěn)態(tài)的動(dòng)態(tài)過程,再加上高低血糖風(fēng)險(xiǎn)的不對(duì)稱性,給人工胰臟系統(tǒng)中的閉環(huán)控制算法設(shè)計(jì)帶來了巨大的挑戰(zhàn)。在傳統(tǒng)的血糖控制算法領(lǐng)域中,在建模方法上,傳統(tǒng)的建模方法需要利用對(duì)象的充足數(shù)據(jù)進(jìn)行模型辨識(shí),這樣在采集數(shù)據(jù)時(shí),會(huì)給患者和醫(yī)生帶來較大的負(fù)擔(dān),整體建模代價(jià)較高;在閉環(huán)控制算法上,傳統(tǒng)的控制算法更多的是考慮算法上的創(chuàng)新,而沒有過多的考慮高低血糖的風(fēng)險(xiǎn)不對(duì)稱性。因此,如何利用先驗(yàn)知識(shí),降低個(gè)性化建模的開銷以及如何減少患者低血糖事件,是本文工作的重點(diǎn)和出發(fā)點(diǎn)�；谏鲜龀霭l(fā)點(diǎn),本文主要進(jìn)行了以下研究:(1)在本課題前人工作的基礎(chǔ)上,考慮血糖控制模型相關(guān)約束等因素,提出了一種面向血糖控制的PSO模型移植建模方法。該方法通過利用先驗(yàn)基模型知識(shí),只需少量激勵(lì)數(shù)據(jù)即可完成對(duì)象的個(gè)性化建模,克服了傳統(tǒng)建模方法中需要等待充足激勵(lì)數(shù)據(jù)才能建立個(gè)性化模型的問題。(2)提出了基于PSO模型移植建模方法的zone-MPC血糖閉環(huán)控制算法,實(shí)驗(yàn)結(jié)果證明,該方法僅僅使用少量激勵(lì)數(shù)據(jù)(兩小時(shí))進(jìn)行建模,就可實(shí)現(xiàn)與使用大量激勵(lì)數(shù)據(jù)(五天)的ARX建模方法相同的控制性能。這種基于基模型的建模算法具有較高的建模效率和經(jīng)濟(jì)性,特別是在缺少患者血糖數(shù)據(jù)時(shí),本文提出的PSO模型移植算法可以有效的替代傳統(tǒng)的個(gè)性化建模方法,再結(jié)合zone-MPC控制算法,可以實(shí)現(xiàn)基本的全自動(dòng)血糖閉環(huán)控制。(3)考慮到高低血糖的風(fēng)險(xiǎn)不對(duì)稱性,提出了 一種基于不對(duì)稱風(fēng)險(xiǎn)函數(shù)和PSO模型移植算法的zone-MPC血糖閉環(huán)控制算法,通過設(shè)計(jì)不對(duì)稱風(fēng)險(xiǎn)函數(shù)來調(diào)節(jié)MPC目標(biāo)函數(shù)中的高低血糖和控制量的權(quán)重系數(shù),最后通過實(shí)驗(yàn)證實(shí)了該算法的有效性,特別是在大飲食場(chǎng)景下,降低了患者出現(xiàn)低血糖的頻率。
[Abstract]:Diabetes has gradually developed into a global disease that endangers human health and society. Artificial pancreas system is regarded as one of the most promising methods for the treatment of diabetes. With the development of continuous blood glucose monitoring system and insulin pump, the hardware part of artificial pancreas system has met the clinical requirements, but the regulation process of human blood sugar is a nonlinear, strongly disturbed and unsteady dynamic process. Combined with the asymmetry of high hypoglycemia risk, the design of closed loop control algorithm in artificial pancreas system is a great challenge. In the field of traditional blood sugar control algorithm, the traditional modeling method needs to use sufficient data of the object to identify the model, which will bring great burden to patients and doctors when collecting data. The cost of global modeling is high; in the closed-loop control algorithm, the traditional control algorithm is more to consider the innovation of the algorithm, but not too much to consider the risk asymmetry of high hypoglycemia. Therefore, how to use prior knowledge, reduce the cost of personalized modeling and how to reduce patients with hypoglycemia events, is the focus and starting point of this work. Based on the above starting point, this paper mainly carried out the following research: (1) on the basis of the previous work of this paper, considering the related constraints of blood glucose control model, a modeling method for blood glucose control oriented PSO model transplantation is proposed. By using the knowledge of priori basis model, the method can complete the personalized modeling of objects with only a small amount of excitation data. It overcomes the problem that the traditional modeling method has to wait for sufficient excitation data to set up a personalized model. (2) the closed-loop control algorithm of zone-MPC blood sugar based on PSO model transplantation modeling method is proposed, and the experimental results show that, Using only a small amount of excitation data (two hours), the method can achieve the same control performance as the ARX modeling method which uses a large amount of excitation data (five days). This modeling algorithm based on basic model has high modeling efficiency and economy, especially in the absence of patient blood sugar data, the PSO model transplantation algorithm proposed in this paper can effectively replace the traditional personalized modeling method. Combined with zone-MPC control algorithm, the basic automatic blood glucose closed-loop control can be realized. (3) considering the risk asymmetry of high and low blood sugar, a closed loop control algorithm of zone-MPC blood glucose based on asymmetric risk function and PSO model transplantation algorithm is proposed. The asymmetric risk function is designed to adjust the weight coefficients of high hypoglycemia and control quantity in MPC objective function. Finally, the effectiveness of the algorithm is verified by experiments, especially in the large diet scenario, which reduces the frequency of hypoglycemia in patients.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R318.1;R587.1

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本文編號(hào)：2267757