Evaluation of MCAS System

Makó, Sebastián; Pilát, Marek; Šváb, Patrik; Kozuba, Jarosław; Čičváková, Miroslava

doi:10.35116/aa.2020.0003

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Clearly, the breakdown of the flight control system caused the airplane to crash. The error-generating automatic flight control system is known as the Maneuvering Characteristics Augmentation System (MCAS) [10]. MCAS is a Boeing Company-developed system fitted in Boeing 737 MAX aircraft.…”

Section: Introductionmentioning

confidence: 99%

Feedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs

Phunpeng,

Wanna,

Khaengkarn

et al. 2023

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

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Unmanned aerial vehicles (UAVs) are becoming increasingly popular for both civil and military applications. Unmanned aerial vehicles can be categorized into two categories: rotary-wing and fixed-wing. Due to its capacity to fly long distances and carry substantial payloads, fixed-wing UAVs are gaining popularity and are currently utilized for various tasks. However, when confronted with disturbances such as weather or wind gusts, fixedwing UAVs can rapidly lose stability, leading to a loss of lift and stalling. Consequently, it is vital to ensure the stability of fixed-wing UAVs. For the longitudinal stability management of a fixed wing unmanned aerial vehicle, the design and modeling of a feedback controller, including a PI controller, PID controller, and Fuzzy logic controller, are discussed in this article. MATLAB/SIMULINK©2021 will be used to design the control system and compare the response of each controller during the simulation. The controller's response to various input formats will indicate its capacity to regulate the system's behavior. Our results indicate that the fuzzy logic controller was superior to the PI and PID controllers at controlling the system's response according to the desired or input behavior.

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Section: Introductionmentioning

confidence: 99%

Feedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs

Phunpeng,

Wanna,

Khaengkarn

et al. 2023

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

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“…Likewise, there are six static ports on commercial aircrafts (two captain side static port, two F/O side static port and two stand-by static port). In addition, there are four Air Data Modules (ADM) that convert the air data received from the ports into numerical values and send them to the Air Data Inertial Reference Unit (ADIRU) (Mako et al , 2020). The different manufacturers such as Aerosonic, AeroControllex, Collins Aerospace and Honeywell provide the relevant components for commercial aircrafts.…”

Section: Introductionmentioning

confidence: 99%

Aircraft air data system fault detection and reconstruction scheme design

Kilic

Unal

2021

AEAT

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Purpose The purpose of this study is to detect and reconstruct a fault in pitot probe and static ports, which are components of the air data system in commercial aircrafts, without false alarm and no need for pitot-static measurements. In this way, flight crew will be prevented from flying according to incorrect data and aircraft accidents that may occur will be prevented. Design/methodology/approach Real flight data collected from a local airline was used to design the relevant system. Correlation analysis was performed to select the data related to the airspeed and altitude. Fault detection and reconstruction were carried out by using adaptive neural fuzzy inference system and artificial neural networks, which are machine learning methods. MATLAB software was used for all the calculations. Findings No false alarm was detected when the fault test following the fault modeling was carried out at 0–2 s range by filtering the residual signal. When the fault was detected, fault reconstruction process was initiated so that system output could be achieved according to estimated sensor data. Practical implications The presented alternative analytical redundant airspeed and altitude calculation scheme could be used when the pitot-static system contains any fault condition. Originality/value Instead of using the methods based on hardware redundancy, the authors designed a new system within the scope of this study. Fault situations that may occur in pitot probes and static ports are modeled and different fault scenarios that can be encountered in all flight phases have been examined.

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“…Likewise, there are three pitot probes on commercial aircrafts (one captain-side pitot probe, one F/O-side pitot probe and one stand-by pitot probe). In addition, there are four Air Data Modules (ADM) that convert the air data received from the ports into numerical values and send them to the Air Data Inertial Reference Unit (ADIRU) [14]. The different manufacturers such as Aerosonic, AeroControllex, Collins Aerospace and Honeywell provide the relevant components for commercial aircrafts.…”

Section: Introductionmentioning

confidence: 99%

Sensor fault detection and reconstruction system for commercial aircrafts

Kilic

Unal

2021

Aeronaut. j.

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The aim morphing of this study is to detect and reconstruct a fault in angle-of-attack sensor and pitot probes that are components in commercial aircrafts, without false alarm and no need for additional measurements. Real flight data collected from a local airline was used to design the relevant system. Correlation analysis was performed to select the data related to the angle-of-attack and airspeed. Fault detection and reconstruction were carried out by using Adaptive Neural Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN), which are machine-learning methods. No false alarm was detected when the fault test following the fault modeling was carried out at 0–1 s range by filtering the residual signal. When the fault was detected, fault reconstruction process was initiated so that system output could be achieved according to estimated sensor data. Instead of using the methods based on hardware redundancy, we designed a new system within the scope of this study.

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Evaluation of MCAS System

Cited by 6 publications

References 6 publications

Feedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs

Feedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs

Aircraft air data system fault detection and reconstruction scheme design

Sensor fault detection and reconstruction system for commercial aircrafts

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