Modeling and simulation of electromechanical actuators for aircraft nacelles

Bennouna, Ouadie; Langlois, Nicolas

doi:10.1109/isma.2013.6547389

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…The particular application addressed in this paper is the real-time estimation of Remaining Useful Life for an Electromechanical Actuator (EMA) for aircraft Flight Control Systems from on-board measurement of the motor current. EMAs [78,79,80,81] exploit an electric motor coupled to a mechanical transmission to convert power from the aircraft electric system into mechanical power to move the flight control system aerodynamic surfaces. Those actuation systems are commonly employed in small scale UAVs and for secondary flight controls of larger manned aircraft.…”

Section: Problem Setupmentioning

confidence: 99%

Computational framework for real-time diagnostics and prognostics of aircraft actuation systems

Berri,

Vedova,

Mainini

2020

Preprint

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Prognostics and Health Management (PHM) are emerging approaches to product life cycle that will maintain system safety and improve reliability, while reducing operating and maintenance costs. This is particularly relevant for aerospace systems, where high levels of integrity and high performances are required at the same time. We propose a novel strategy for the nearly real-time Fault Detection and Identification (FDI) of a dynamical assembly, and for the estimation of Remaining Useful Life (RUL) of the system. The availability of a timely estimate of the health status of the system will allow for an informed adaptive planning of maintenance and a dynamical reconfiguration of the mission profile, reducing operating costs and improving reliability. This work addresses the three phases of the prognostic flow -namely (1) signal acquisition,(2) Fault Detection and Identification, and (3) Remaining Useful Life estimation -and introduces a computationally efficient procedure suitable for real-time, on-board execution. To achieve this goal, we propose to combine information from physical models of different fidelity with machine learning techniques to obtain efficient representations (surrogate models) suitable for nearly real-time

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Section: Problem Setupmentioning

confidence: 99%

Computational framework for real-time diagnostics and prognostics of aircraft actuation systems

Berri,

Vedova,

Mainini

2020

Preprint

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“…The problems of synchronizing several electric drives have recently been taken up also in the field of broadly understood transport, in naval and aerospace applications. As an example of this trend, electromechanical drive alternatives are currently being considered as a replacement to pneumatic and/or hydraulic thrust reverse actuation systems in future aircraft [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Electric Drive Solution for Low-Floor City Transport Trams

et al. 2022

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The urban transport system based on trams as the basic means of transport is one of the oldest systems of human transport in urban agglomerations. A tram is a more efficient, cheaper-to-operate, and greener means of transport compared to a bus. Striving to enable the use of this means of transport by elderly and disabled people, constructors and manufacturers of tram vehicles began to consider the requirements of the ordering parties—organizers of municipal public transport—in their solutions. The basic condition for disabled and elderly people to use tram transport is the possibility of safe and efficient entry and exit from the vehicle at tram stops. The fulfillment of this condition is possible only in the case of tram vehicles with a low 100% floor, and this, in turn, requires the replacement of trolleys with traditional wheelsets, that is, trolleys with independently rotating wheels, in the construction of the running gear. A wheelset with independently rotating wheels (IRW) does not have self-centering properties, and, thus, problems may arise with excessive wear of wheel and rail profiles and with continuous contact of the wheel flange with the rail, which may, consequently, lead to derailment. Driving a vehicle on the track in this case is governed by different laws. To prevent such phenomena, it is required to use the wheel drive control system, which allows for the stabilization of the vehicle movement on the track. Both the introduction of independently rotating wheels in the construction of the bogie and the drive connected to the wheel control system requires research and analysis to confirm the correctness of the assumptions made. The innovative solution of the control system in the case of a tram vehicle was patented and then the patent was implemented to produce a low-floor tram with 100% low floor by a Polish tram manufacturer. This article presents the results of the work carried out on the adoption of the concept of a running gear and drive solution for a low-floor tram vehicle with independently rotating wheels and the results of simulation analysis of the drive control of such a system, using mathematical models of the mechanical system (running gear) and the electrical system (motor drive control system).

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“…This movement towards electrification has been largely enabled by power-electronic drives, energy storage, and advanced control of rotating electrical machinery [1][2][3][4]6,7]. The transition from mechanical (e.g., pneumatic or hydraulic) drives to full-electric or hybridelectric drives-already observed in naval and vehicle transportation-is expected to revolutionize the aerospace industry in coming years [1,2,[5][6][7][8]. The trend towards More Electric Aircraft (MEA) for aerospace applications is partially inspired by the potential for reduced weight (with associated impact on fuel consumption) and maintenance of existing mechanical drive systems.…”

Section: Introductionmentioning

confidence: 99%

“…As an example of this trend, electromechanical drive alternatives are currently being considered as a replacement to pneumatic and/or hydraulic thrust reverse actuation systems (TRAS's) in future aircraft [8][9][10]. The purpose of a TRAS is to provide deceleration of the aircraft on the runway, particularly after touchdown.…”

Section: Introductionmentioning

confidence: 99%

Rotor Position Synchronization in Central-Converter Multi-Motor Electric Actuation Systems

2021

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The aerospace industry is increasingly transitioning from hydraulic and pneumatic drives to power-electronic based drive systems for reduced weight and maintenance. Electromechanical thrust reverse actuation systems (EM-TRAS) are currently being considered as a replacement for mechanical based TRAS for future aircraft. An EM-TRAS consists of one or more power-electronic drives, electrical motors, and gear-trains that extend/retract mechanical members to produce a drag force that decelerates the aircraft upon landing. The use of a single (“central”) power electronic converter to simultaneously control a set of parallel induction machines is a potentially inexpensive and robust method for implementing EM-TRAS. However, because the electrical motors may experience different shaft torques—arising from differences in wind forces and a flexible nacelle—a method to implement rotor position synchronization in central-converter multi-motor (CCMM) architectures is needed. This paper introduces a novel method for achieving position synchronization within CCMM architecture by using closed-loop feedback of variable stator resistances in parallel induction machines. The feasibility of the method is demonstrated in several case studies using electromagnetic transient simulation on a set of parallel induction machines experiencing different load torque conditions, with the central converter implementing both voltage-based and current-based primary control strategies. The key result of the paper is that the CCMM architecture with proposed feedback control strategy is shown in these case studies to dynamically drive the position synchronization error to zero. The initial findings indicate that the CCMM architecture with induction motors may be a viable option for implementing EM-TRAS in future aircraft.

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Modeling and simulation of electromechanical actuators for aircraft nacelles

Cited by 7 publications

References 8 publications

Computational framework for real-time diagnostics and prognostics of aircraft actuation systems

Computational framework for real-time diagnostics and prognostics of aircraft actuation systems

Electric Drive Solution for Low-Floor City Transport Trams

Rotor Position Synchronization in Central-Converter Multi-Motor Electric Actuation Systems

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