A Simple Method for Estimation of Angle of Attack

Ramprasadh, C.; Prem, S; Sankaralingam, L.; Deshpande, Parag; Dodamani, Ravi; Suraj, C. S.

doi:10.1016/j.ifacol.2018.05.048

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Concerning estimation of AoA using intelligent control systems, there have been many studies, and the studies go on this matter (Sankaralingam and Ramprasadh, 2019;Cheng and Dasheng, 2019;Ramprasadh et al, 2018;Ly, 2017). Petritoli et al (2021) developed a fuzzy model to estimate AoA.…”

Section: Fault Detection and Diagnosis Of Maneuvering Characteristics Augmentation Systemmentioning

confidence: 99%

The requirements for automation systems based on Boeing 737 MAX crashes

Demirci

2021

AEAT

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Purpose This paper aims to show the current situation and additional requirements for the aircraft automation systems based on the lessons learned from the two 737 MAX crashes. Design/methodology/approach In this study, the Swiss cheese model was used to find the real root causes of the 737 MAX accidents. Then, the results have been compared with the actions taken by the manufacturers and authorities. Based on the comparison, the necessary improvements to prevent such accidents are defined. Regarding the faulty sensor that forms the accidents, a synthetic sensor was developed using an aerodynamic model. Findings It has been proven that the safety-critical automation systems should not be designed by relying on a single set of sensor data. Automation levels should be defined in a standard way. Depending on the defined automation level, the system must be designed as either fail-safe or fail-operational system. When designing backup systems, it should be decided by looking at not only whether it has power but also the accuracy of the incoming signals. Practical implications Aviation certification requirements related to automation systems need to be revised and improved. With this context, it was revealed that the certification processes for automation systems should be re-evaluated and updated by aviation authorities, especially Federal Aviation Administration and European Union Aviation Safety Agency. Originality/value Task sharing between automation system and pilot based on the classification of automation levels and determining certification requirements accordingly has been brought to the agenda. A synthetic Angle of Attack sensor was developed by using an aerodynamic model for fault detection and diagnosis.

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Section: Fault Detection and Diagnosis Of Maneuvering Characteristics Augmentation Systemmentioning

confidence: 99%

The requirements for automation systems based on Boeing 737 MAX crashes

Demirci

2021

AEAT

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“…In [12] the angle of attack calculation only relies on inertial data, but obtained estimation accuracy is not good in windy and turbulent conditions. The authors of [13] estimate the AoA by using a complementary filter. The steady state low frequency component of the estimation is obtained by solving algebraically the angle of attack kinematic equation, in which the AoA derivative is set equal to the pitch rate.…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

An Innovative Angle of Attack Virtual Sensor for Physical-Analytical Redundant Measurement System Applicable to Commercial Aircraft

Vitale¹,

Corraro²,

Genito³

et al. 2021

Adv. sci. technol. eng. syst. j.

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The angle of attack is a critical flight parameter for commercial aviation aircraft, because automatic envelope protection systems rely on it to keep the aircraft within its safe flight envelope. Faulty measurements of the angle of attack could have catastrophic effects, leading to aircraft loss of control in flight and fatalities, as demonstrated by the recent accidents involving the Boeing 737-MAX. This paper presents a novel approach to the measurement of the angle of attack, which uses one virtual sensor and two physical sensors to implement a physical-analytical redundant system that is robust to a single fault of the physical sensors. The virtual sensor is based on an innovative and reliable estimator of the angle of attack. It was originally developed to provide General Aviation pilot with an accurate indication of trend toward stall, and has been suitably customized to fit its application to commercial aviation. One of the peculiarities of the redundant measurement system is that its implementation on-board several existing commercial aviation aircraft only needs the integration of a software code and does not require any installation of additional physical sensors. The proposed approach demonstrated very interesting performance, assessed in simulation through several Monte Carlo analyses. Its exploitation could contribute to reduce the angle of attack related accidents, improving the safety of the air transport system.

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“…A comprehensive review of some methodologies and estimation approaches for typical fixed-wing and rotary-wing UAVs can be found in [21], in which the authors point out that multihole probes based on pressure measurements are difficult to calibrate for low-speed, low-altitude flights; optical methods are unreliable for small UAVs; and potentiometer-based vane probes could be suitable for applications in mini flyers. In the literature, attempts at estimation without direct measurements of AOA and AOS in small UAVs, using algebraic methods or multistage fusion algorithms with linear time-varying models, can also be found [22,23].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Airspeed, Angle of Attack, and Sideslip for Small Unmanned Aerial Vehicles (UAVs) Using a Micro-Pitot Tube

Ariante¹,

Ponte²,

Papa³

et al. 2021

Electronics

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Fixed and rotary-wing unmanned aircraft systems (UASs), originally developed for military purposes, have widely spread in scientific, civilian, commercial, and recreational applications. Among the most interesting and challenging aspects of small UAS technology are endurance enhancement and autonomous flight; i.e., mission management and control. This paper proposes a practical method for estimation of true and calibrated airspeed, Angle of Attack (AOA), and Angle of Sideslip (AOS) for small unmanned aerial vehicles (UAVs, up to 20 kg mass, 1200 ft altitude above ground level, and airspeed of up to 100 knots) or light aircraft, for which weight, size, cost, and power-consumption requirements do not allow solutions used in large airplanes (typically, arrays of multi-hole Pitot probes). The sensors used in this research were a static and dynamic pressure sensor (“micro-Pitot tube” MPX2010DP differential pressure sensor) and a 10 degrees of freedom (DoF) inertial measurement unit (IMU) for attitude determination. Kalman and complementary filtering were applied for measurement noise removal and data fusion, respectively, achieving global exponential stability of the estimation error. The methodology was tested using experimental data from a prototype of the devised sensor suite, in various indoor-acquisition campaigns and laboratory tests under controlled conditions. AOA and AOS estimates were validated via correlation between the AOA measured by the micro-Pitot and vertical accelerometer measurements, since lift force can be modeled as a linear function of AOA in normal flight. The results confirmed the validity of the proposed approach, which could have interesting applications in energy-harvesting techniques.

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A Simple Method for Estimation of Angle of Attack

Cited by 6 publications

References 4 publications

The requirements for automation systems based on Boeing 737 MAX crashes

The requirements for automation systems based on Boeing 737 MAX crashes

An Innovative Angle of Attack Virtual Sensor for Physical-Analytical Redundant Measurement System Applicable to Commercial Aircraft

Estimation of Airspeed, Angle of Attack, and Sideslip for Small Unmanned Aerial Vehicles (UAVs) Using a Micro-Pitot Tube

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