Dual-cavity, high-repetition rate pulsed laser for flow control and high-speed flow applications.

这种对高功率脉冲激光器的要求是为了保持我们的研究能力和对新技术的贡献在国际竞争水平上。该设备能够研究三维空间和时间分辨的流场和高速空气动力学。这种能力支持专注于开发应用于新兴技术的自主流量控制系统的研究项目。该计划涉及可再生能源和航空航天领域。该研究的一个重点是将能量收集系统应用于从浅水、快速流动的河流中发电。这些典型的草原和山麓地区的水路的能源潜力仍然主要未开发，因为这些不适合传统的水力涡轮机开发。能量收集器的目标是利用流动引起的结构振动的能量。因此，这种方法是支持从化石燃料发电过渡的重要一步。第二个重点是开发用于高空超音速无人驾驶汽车（UAV）的推进系统。高速无人机是廉价、低轨道可重复使用的运载系统的基础，可以取代目前使用的昂贵的传统火箭动力运载工具。降低进入太空的成本是发展商业太空计划的关键。这项工作得到了加拿大工业伙伴的支持。该项目支持基础知识的生成和先进自主控制系统的开发。支撑这项研究的是新技术的产生和“大数据”战略的新应用。研究计划的基石要素是策略和方法：(i)创建紧凑的低阶模型，以可处理的形式表示复杂的过程；（ii）开发预测和控制流动行为的机器学习策略，以实现相关的工程成果。这些基石要素是人工智能和自主系统的基础，这是一个在国内外迅速发展的技术领域。因此，该计划培养具有高技术专长和技能的高素质人才，适合加拿大下一代技术和前瞻性经济发展。

This request for a high-power pulsed laser is made to maintain our research capacity and contributions to novel technologies at an internationally competitive level. This equipment enables investigations of three-dimensional spatially and temporally resolved flow fields and high-speed aerodynamics. This capability supports research programs focusing on the development of autonomous flow control systems as applied to emerging technologies. The program addresses the renewable energy and aerospace sectors. A focus of the research are applications to energy-harvesting systems for power generation from shallow, rapidly moving rivers. The energy potential of these water ways typical of the prairie and foothill regions remain mainly untapped because these do not lend themselves to traditional hydraulic turbine exploitation. Energy harvesters aim to use the energy of flow-induced vibrations on structures. This approach is thus an important step supporting transition from fossil-fuel based power generation. The second focus is on the development of propulsion systems for high-altitude, supersonic unmanned autonomous vehicles (UAV). High-speed UAVs are the foundation for cheap, low-orbit reusable delivery systems to replace the expensive, traditional rocket-powered launch vehicles used today. Lowering the cost to access space is the key to growing commercial space programs. This work is supported by Canadian industrial partners. The program supports the generation of fundamental knowledge and the development of advanced, autonomous control systems. Underpinning the research is the generation of new techniques and novel applications of “big-data” strategies. Cornerstone elements of the research program are strategies and methodologies for: (i) creating compact, low-order models for representing complex processes in a tractable form; and (ii) developing machine learning strategies for predicting and controlling flow behavior to achieve relevant engineering outcomes. These cornerstone elements are foundations for artificial intelligence and autonomous systems, a rapidly developing technology sector nationally and internationally. The program thus trains highly qualified personnel with high technical expertise and skills suited for next generation technologies and forward-looking economic development in Canada.