Control System Design and the Power Management of MEFADEC Assembled on More-Electric Aircraft

Yin, Mingming; Bozhko, Serhiy; Tang, Yao; You, Chengxin

doi:10.1109/esars-itec.2018.8607738

Cited by 1 publication

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…α k and β k are the introduced positive slack variables and M is a column vector in which the elements are very large positive real value.y * k−1 is obtained at the (k-1)-th round of inner-layer problem and is the fixed parameter for (19). From (14) and (16), we can find parts of the formulations in G (x k , y * k−1 ) are nonlinear corresponding to x k with given y * k−1 (the constraints (3), (4), (6), (7), (9.b) and (10)) and parts of the formulation in H 1 (x k ) are nonlinear corresponding to x k (the constraints (11)); for that matter, in order to solve the outer-layer problem, we at first recast the problem in (19) as a linear-approximated MILP formulation and then resort to the commercial optimization software to finally solve it. In this paper we use the linearization method in [29] to represent the strictly decreasing/increasing convex formulations in (3), (4), (6), (7) and (10) and use the linearization method in [30] to linearly approximate the bilinear function in (9.b) and (11).…”

Section: A Outer-layermentioning

confidence: 99%

“…These works finally verifies its performance with different levels of thrust and electric power demands. In contrast, the papers in [16]- [18] provide a power management/control model to co-optimize the energy output of the more-electric turbofan engine and electric loads. The above approaches for energy optimization analysis are novel but have the following challenges: 1) fixed electric loads provided by turbofan engine are assumed, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Optimization Analysis of Turbofan Engine for More-Electric Civil Aircraft

Yang

Li²,

Chen³

2020

IEEE Access

View full text Add to dashboard Cite

The civil aviation industry is moving into the more-electric environment where the civil aircraft uses electricity to meet the multiple energy demands of the associated aircraft subsystems. The civil aircraft's turbofan engine, which is the largest energy supply system of civil aircraft, will thus utilize more fuel resource to provide increased electric energy besides of its conventional responsibility of maintaining the fundamental thrust requirements by aircraft. This will introduce new challenge for the energy optimization analysis of aircraft turbofan engine: it was nearly a simple optimal setting of engine's component parameters for keeping required thrust, but under the more-electric environment it will become an optimization problem in order to minimize the fuel consumption while obeying the multiple constraints by thermodynamic limits of turbofan engine and by varying electric power demands associated with the flight profile of aircraft. We present a complete modeling in this paper for the energy optimization analysis of turbofan engine for more-electric civil aircraft and formulate it as a nonlinear programming form. We propose an algorithm based on Benders decomposition method to solve this problem; the numerical results demonstrate the economic effectiveness of the proposed modeling and algorithm. INDEX TERMS More-electric civil aircraft, turbofan engine, energy optimization analysis, decomposition method, nonlinear optimization.

show abstract