Robust Control of Biomedical and Environmentally Sustainable Engineered Systems

生物医学和环境可持续工程系统的鲁棒控制

• 批准号: RGPIN-2015-05574
• 负责人: Boulet, Benoit
• 金额: $ 2.7万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613631
• 关键词: Robust; Control; Biomedical; Environmentally; Sustainable

The environmental sustainability of engineered systems and the development of biomedical systems for improved therapies will be critical to ensure a better quality of life for Canadians and to preserve the environment for future generations. The main goal of the proposed engineering research program is thus to develop innovative robust and sustainable control systems for: (a) environmentally sustainable engineered systems: electric vehicles (EV), plug-in hybrid electric vehicles (PHEV), energy management systems, building heating, ventilation and air conditioning (HVAC) systems using renewable energy, and (b) medical applications, mostly focusing on the artificial pancreas. Electric (EV) and plug-in hybrid electric vehicles (PHEV) produce no or little emissions and are now widely seen as the future of sustainable transportation. We first propose to study the design, control and charging of EV and PHEV from the point of view of dynamic energy optimization. The research will focus on minimizing consumption of fossil fuel and electrical energy through advanced feedback control design. One of the fundamental issues in PHEV and renewable energy systems is how to use the electrical energy accumulator with respect to the dynamics of the system and the load in order to minimize fuel or energy consumption. Secondly, we propose to investigate the control of heating, ventilation and air conditioning systems of large buildings to maximize the use of energy accumulators, such as ice banks, and photovoltaic panels. The objective of the blood glucose control system research for diabetic patients is to design and implement a closed-loop device that regulates glucose levels for people with Type 1 diabetes. The closed-loop device (so-called artificial pancreas) measures blood glucose levels and uses these measurements via a control algorithm to properly dose insulin and glucagon using the subcutaneous insulin and glucagon pumps. Our recent collaborative work has developed a control algorithm for a dual-hormone artificial pancreas which proved to be successful in a clinical trial on 15 patients with type 1 diabetes. We wish to continue this research in the development of an advanced wearable artificial pancreas. Novelty of the proposed approach lies in the development of adaptive and robust MPC algorithms that adapt to changes in insulin sensitivity while being robust to uncertain dynamics and long diffusion delays. We also propose to look at cycle-to-cycle control using iterative learning as insulin sensitivity patterns follow circadian rhythms. This research program will provide multidisciplinary training to three Ph.D. students and three Master’s students who will be attractive to Canadian organizations and institutions as effective agents of change.

工程系统的环境可持续性和改进治疗的生物医学系统的开发对于确保加拿大人更好的生活质量和保护子孙后代的环境至关重要。因此，拟议的工程研究计划的主要目标是开发创新。强大且可持续的控制系统，用于：（a）环境可持续的工程系统：电动汽车（EV）、插电式混合动力电动汽车（PHEV）、能源管理系统、使用可再生能源的建筑供暖、通风和空调（HVAC）系统， (b) 医疗应用，主要集中于人工胰腺。 电动汽车（EV）和插电式混合动力汽车（PHEV）不产生或很少产生排放，现在被广泛视为可持续交通的未来。我们首先建议从角度来研究EV和PHEV的设计、控制和充电。该研究将侧重于通过先进的反馈控制设计最大限度地减少化石燃料和电能的消耗，PHEV 和可再生能源系统的基本问题之一是如何根据动态能量使用蓄能器。系统和负载，以尽量减少燃油其次，我们建议研究大型建筑的供暖、通风和空调系统的控制，以最大限度地利用蓄能器，如冰库和光伏电池板。 针对糖尿病患者的血糖控制系统研究的目标是设计和实现一种调节 1 型糖尿病患者血糖水平的闭环装置（所谓的人工胰腺），可测量血糖水平并控制血糖水平。通过控制算法使用这些测量值，使用皮下胰岛素和胰高血糖素泵正确剂量胰岛素和胰高血糖素我们最近的合作开发了一种双激素人工胰腺的控制算法，该算法在临床试验中被证明是成功的。我们希望继续这项研究，开发先进的可穿戴人工胰腺，该方法的新颖之处在于开发自适应且稳健的 MPC 算法，该算法能够适应胰岛素敏感性的变化，同时对不确定性具有鲁棒性。我们还建议使用迭代学习来研究周期间控制，因为胰岛素敏感性模式遵循昼夜节律。 该研究项目将为三名博士生和三名硕士生提供多学科培训，他们将作为变革的有效推动者对加拿大组织和机构有吸引力。