Towards the Next-Generation of Fault-Tolerant Control Systems

迈向下一代容错控制系统

• 批准号: RGPIN-2021-02971
• 负责人: Vijayaraghavan, Krishna
• 金额: $ 1.97万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760567
• 关键词: Towards; Next; Generation; Fault; Tolerant

Small faults when left undetected can result in catastrophic failure with significant property, personnel, and environmental damages. There are countless such examples in every type of complex system. Even when a fault does not cause a catastrophic failure, it can lead to severe performance degradation and premature failure. Hence there is a need for advanced control systems to detect the inception of faults in a broad class of systems and ultimately mitigate its progression. Control systems need to be able to identify or classify faults, while still maintaining controllability. Fault detection is made extremely difficult in practice, owing to system nonlinearity, sensor noise, and limited sensor data. While fault detection is needed by all systems, owing to my recent progress the results from this proposal will initially drive innovations in clean energy through the diagnosis of fuel cells and vertical axis wind turbines. Ultimate Program Vision: I aim to sufficiently advance the study of fault detection and fault-tolerant control so that faults do not trigger catastrophes. Within the overall research program of this Discovery grant, I aim to train 2 PhD and 2 MASc students and have the following objectives: 1.Advancing observer design in fully nonlinear systems. 2.Enhancing machine learning systems through observers. 3.Developing observers for utilizing intermittent low-power sensors. 4.Designing observers to detect and tolerate large changes in systems. The grant is also anticipated to drive several future collaboration on the control and diagnostics of fuel cell stacks. There is an anticipated explosion in the need for resilient automation and I aims to expand this program to systems outside clean energy. Thus, in the longer-term, this program aims to 1.Extend fault detection and fault tolerance control to driver-less automobiles, warehouse robots, and automatic deliver-drones. 2.Extend fault detection and fault tolerance control to micro-chip manufacturing systems through planned collaboration with Applied Materials and Photon control. 3.Provide unparalleled HQP training on the next generation of sensing and control strategies. The advances in control systems from this research are expected to reduce performance degradations in fuel cell and wind systems, consequently reducing their lifetime system costs and therefore hasten the transition to clean energy. As this research is also applicable to autonomous systems, there are long-lasting impacts through the improvement of safety and reliability in autonomous vehicles. The potential of this research is broad and will help to both raise the level of Canadian expertise in control systems and position SFU and Canada as a leader in system reliability.

剩下的小故障可能会导致灾难性失败，并具有重大的特性，人员和环境损害。每种类型的复杂系统中都有无数此类示例。即使故障不会导致灾难性失败，也会导致严重的性能降解和过早失败。因此，高级控制系统需要检测大量系统中故障的建立，并最终减轻其进展。控制系统需要能够识别或分类故障，同时仍保持可控性。由于系统非线性，传感器噪声和有限的传感器数据，在实践中的故障检测非常困难。尽管所有系统都需要故障检测，但由于我最近的进展，该提案的结果最初将通过诊断燃料电池和垂直轴风力涡轮机来推动清洁能源的创新。最终程序视觉：我的目标是足够进步对故障检测和耐断层控制的研究，以免造成灾难。 在这项发现赠款的整体研究计划中，我的目标是培训2位博士学位和2名MASC学生，并具有以下目标：1。在完全非线性系统中进行远距离观察者设计。 2.通过观察者增强机器学习系统。 3.开发观察者使用间歇性的低功率传感器。 4.设计观察者以检测和容忍系统的巨大变化。预计该赠款还可以推动对燃料电池堆栈的控制和诊断的几次合作。 预计需要弹性自动化，我的目标是将该程序扩展到清洁能源之外的系统。因此，从长远来看，该程序的目标是1。将故障检测和容错控制扩展到无驾驶员的汽车，仓库机器人和自动交付式无人机。 2.通过计划合作与应用材料和光子控制，将故障检测和容错控制范围控制到微芯片制造系统。 3.关于下一代感应和控制策略的无与伦比的HQP培训。预计这项研究的控制系统的进步将减少燃料电池和风系统的性能降解，从而降低其寿命系统成本，从而加快过渡到清洁能源的过渡。由于这项研究也适用于自主系统，因此通过提高自动驾驶汽车的安全性和可靠性会产生长期影响。这项研究的潜力广泛，将有助于提高控制系统中的加拿大专业知识，并成为SFU和加拿大作为系统可靠性领导者的位置。