Model Predictive Control Strategies for Turbine Electrified Energy Management

IF 1.4 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Elyse Hill, Aria E. Amthor, Donald I. Soloway, Donald L Simon, Joseph W. Connolly
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引用次数: 0

Abstract

Abstract The increasing electrification of aircraft propulsion systems is leading to new control architectures being developed to address integration between electric machines and gas-based turbine engines. For hybrid-electric propulsion systems, current conceptual architectures often couple electric machines with the shafts of gas turbine engines and introduce energy storage. Leveraging the electrical power system of hybridized engines, Turbine Electrified Energy Management (TEEM) is a recent control approach that improves transient operability in an effort to enable more efficient and lighter weight turbomachinery. This study seeks to expand TEEM's application beyond traditional proportional-integral (PI) control by presenting linear model predictive control (MPC) schemes to execute the TEEM concept. Through constraint selection and cost function design, transient operability goals for TEEM are considered with no external logic or saturation. Unique to the designs are the use of a washout filter, which simplifies transient detection and motor activation logic. The proposed architectures are implemented with both centralized MPC and distributed MPC approaches, and comparisons are drawn to a benchmark PI controller simulated on a nonlinear turbofan engine model at one ground condition and one cruise condition. Performance is evaluated using compressor maps, stall margin performance, and two novel metrics: transient stack usage and transient excursion integral. Results reveal the linear MPC scheme performs comparably to the baseline controller and can be implemented in at least two distinct configurations with potential for further modifications, thus establishing the groundwork for future investigations.
汽轮机电气化能量管理模型预测控制策略
随着飞机推进系统电气化程度的不断提高,为了解决电机和燃气涡轮发动机之间的集成问题,人们正在开发新的控制体系结构。对于混合动力推进系统,目前的概念架构通常是将电机与燃气涡轮发动机的轴相结合,并引入能量存储。利用混合动力发动机的电力系统,涡轮电气化能量管理(TEEM)是一种最新的控制方法,可以提高瞬态可操作性,从而实现更高效、更轻重量的涡轮机械。本研究通过提出线性模型预测控制(MPC)方案来执行TEEM概念,试图将TEEM的应用扩展到传统的比例积分(PI)控制之外。通过约束选择和成本函数设计,在不存在外部逻辑和饱和的情况下考虑瞬态可操作性目标。独特的设计是使用冲洗滤波器,这简化了瞬态检测和运动激活逻辑。采用集中式MPC和分布式MPC方法实现了所提出的体系结构,并与非线性涡扇发动机模型在一种地面状态和一种巡航状态下的基准PI控制器进行了比较。性能评估使用压缩机图、失速余量性能和两个新指标:瞬态堆栈使用率和瞬态偏移积分。结果表明,线性MPC方案的性能与基线控制器相当,并且可以在至少两种不同的配置中实现,并且有可能进一步修改,从而为未来的研究奠定基础。
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来源期刊
CiteScore
3.80
自引率
20.00%
发文量
292
审稿时长
2.0 months
期刊介绍: The ASME Journal of Engineering for Gas Turbines and Power publishes archival-quality papers in the areas of gas and steam turbine technology, nuclear engineering, internal combustion engines, and fossil power generation. It covers a broad spectrum of practical topics of interest to industry. Subject areas covered include: thermodynamics; fluid mechanics; heat transfer; and modeling; propulsion and power generation components and systems; combustion, fuels, and emissions; nuclear reactor systems and components; thermal hydraulics; heat exchangers; nuclear fuel technology and waste management; I. C. engines for marine, rail, and power generation; steam and hydro power generation; advanced cycles for fossil energy generation; pollution control and environmental effects.
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