Hierarchical Control of Aircraft Electro-Thermal Systems

Koeln, Justin P.; Pangborn, Herschel C.; Williams, Matthew; Kawamura, Malia L.; Alleyne, Andrew G.

doi:10.1109/tcst.2019.2905221

Cited by 35 publications

(13 citation statements)

References 29 publications

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“…However, the outputs of such dynamic systems tend to react and respond at different rates. This is a common observation for dynamic systems with slow and storage states, e.g., microgrids [2], vehicle [3]- [6] and aircraft [7] thermal management systems.…”

Section: Introductionmentioning

confidence: 84%

“…This solution is used to calculate the optimal thermal index trajectory ( * x slow 4 ). This scheduled * x slow 4 trajectory is then incorporated in the stage cost of the piloting layer, which is formulated according to (7) as a finite-horizon optimization problem over a relatively shorter prediction horizon (H p = 20 (20 sec)) and with a faster sampling period of T p = T = 1 sec. Note that it is assumed the exact knowledge of the demand preview is available to the piloting-layer MPC over the receding horizon H p = 20 (20 sec).…”

Section: Case Study: Vehicle Thermal Managementmentioning

confidence: 99%

See 1 more Smart Citation

Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management

Amini

Kolmanovsky

Sun

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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This paper presents a robust hierarchical MPC (H-MPC) for dynamic systems with slow states subject to demand forecast uncertainty. The H-MPC has two layers: (i) the scheduling MPC at the upper layer with a relatively long prediction/planning horizon and slow update rate, and (ii) the piloting MPC at the lower layer over a shorter prediction horizon with a faster update rate. The scheduling layer MPC calculates the optimal slow states, which will be tracked by the piloting MPC, while enforcing the system constraints according to a long-range and approximate prediction of the future demand/load, e.g., traction power demand for driving a vehicle. In this paper, to enhance the H-MPC robustness against the long-term demand forecast uncertainty, we propose to use the high-quality preview information enabled by the connectivity technology over the short horizon to modify the planned trajectories via a constraint tightening approach at the scheduling layer. Simulation results are presented for a simplified vehicle model to confirm the effectiveness of the proposed robust H-MPC framework in handling demand forecast uncertainty. arXiv:1909.05990v1 [math.OC]

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Section: Introductionmentioning

confidence: 84%

Section: Case Study: Vehicle Thermal Managementmentioning

confidence: 99%

Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management

Amini

Kolmanovsky

Sun

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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“…Furthermore, a hierarchical multivariable robust control design with nonparallel distributed compensators is proposed for conventional turbofan engines, with the model representation of an uncertain TS fuzzy model, where the level-one compensator ensures the robust performance, and the level-two compensator restrains the uncertainty [75]. Furthermore, a hierarchical model predictive control (MPC) approach is proposed for aircraft electrothermal systems, wherein the coordination of electrothermal systems is achieved by decomposing the multi-energy-domain constrained optimization problem into a set of computationally efficient subproblems that can be solved in real time [76]. For hybrid electric aircraft, a set-based hierarchical MPC framework has been proposed and proven to be a computationally efficient approach to coordinate complex systems across multiple timescales whilst providing guaranteed constraint satisfaction [77].…”

Section: Hierarchical Controlmentioning

confidence: 99%

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

2022

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The civil aviation sector plays an increasingly significant role in transportation sustainability in the environmental, economic, and social dimensions. Driven by the concerns of sustainability in the aviation sector, more electrified aircraft propulsion technologies have emerged and form a very promising approach to future sustainable and decarbonized aviation. This review paper aims to provide a comprehensive and broad-scope survey of the recent progress and development trends in sustainable aviation electrification. Firstly, the architectures of electrified aircraft propulsion are presented with a detailed analysis of the benefits, challenges, and studies/applications to date. Then, the challenges and technical barriers of electrified aircraft propulsion control system design are discussed, followed by a summary of the control methods frequently used in aircraft propulsion systems. Next, the mainstream energy management strategies are investigated and further utilized to minimize the block fuel burn, emissions, and economic cost. Finally, an overview of the development trends of aviation electrification is provided.

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“…While improper scaling may make the performance characteristic profiles of EMA deviate from the test one. Furthermore, a hierarchical MPC approach was developed for aircraft electro-thermal systems in [117]. The electrical and thermal systems are coordinated to decompose the multi-energy domain, constrained optimization problem into smaller, more computationally efficient problems to be solved in real time.…”

Section: B System Reliabilitymentioning

confidence: 99%

Electrical and Electronic Technologies in More-Electric Aircraft: A Review

Liu

Mei

et al. 2019

IEEE Access

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This paper presents a review of the electrical and electronic technologies investigated in moreelectric aircraft (MEA). In order to change the current situation of low power efficiency, serious pollution, and high operating cost in conventional aircraft, the concept of MEA is proposed. By converting some hydraulic, mechanical, and pneumatic power sources into electrical ones, the overall power efficiency is greatly increased, and more flexible power regulation is achieved. The main components in an MEA power system are electrical machines and power electronics devices. The design and control methods for electrical machines and various topologies and control strategies for power electronic converters have been widely researched. Besides, several studies are carried out regarding energy management strategies that intend to optimize the operation of MEA power distribution systems. Furthermore, it is necessary to investigate the system stability and reliability issues in an MEA, since they are directly related to the safety of passengers. In terms of machine technologies, power electronics techniques, energy management strategies, and the system stability and reliability, a review is carried out for the contributions in the literature to MEA. INDEX TERMS More-electric aircraft, machine technologies, power electronics techniques, energy management strategies, system stability and reliability.

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Hierarchical Control of Aircraft Electro-Thermal Systems

Cited by 35 publications

References 29 publications

Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management

Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

Electrical and Electronic Technologies in More-Electric Aircraft: A Review

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