Aircraft Performance Theory for Pilots

2000 ◽  
Keyword(s):  
Performance Theory ◽  
Aircraft Performance

Aircraft Performance

1992 ◽  
Author(s):  
W. Austyn Mair ◽  
David L. Birdsall
Keyword(s):  
Aircraft Performance

The Performance Of The National Narcotics Agency In Illegal Drugs Prevention Efforts Of Palu City, Central Sulawesi, Indonesia

2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Andi Pasinringi
Keyword(s):  
Data Collection ◽  
Service Quality ◽  
Qualitative Approach ◽  
City Government ◽  
Performance Theory ◽  
Illegal Drugs ◽  
Five Dimensions ◽  
Public Bureaucracy ◽  
Central Sulawesi ◽  
Drug Free

This study aims to determine the performance of Badan Narkotika Nasional or the National Narcotics Agency of Palu in the narcotics prevention efforts, determined by the support of the main tasks and functions of the National Narcotics Agency Office of Palu. The theory used to assess performance is with five dimensions of theory to measure the performance of public bureaucracy which are Productivity, Service Quality, Responsiveness, Responsibility, and Accountability as proposed by Agus Dwiyanto (2002). This research utilized descriptive-qualitative approach. Data collection techniques used are but not limited to: Observation, Interview, and Documentation. Informants in this study are determined purposively. The results of the study revealed that based on the five dimensions of performance theory from Agus Dwiyanto, it can be concluded that the performance of the National Narcotics Agency of Palu is not insufficient. Thus, the vision proclaimed by the Palu City Government which was the Realization of Government and Community Synergy Towards Drug-Free Palu City in 2015, was not achieved

Flight performance monitoring with optimal filtering applications

2019 ◽  
Vol 124 (1272) ◽  
pp. 170-188
Author(s):  
V. A. Deo ◽  
F. Silvestre ◽  
M. Morales
Keyword(s):  
Kalman Filter ◽  
Performance Monitoring ◽  
The Body ◽  
Flight Performance ◽  
Performance Parameters ◽  
Sideslip Angle ◽  
Fuel Flow ◽  
Aircraft Performance ◽  
Lift And Drag

ABSTRACTThis work presents an alternative methodology for monitoring flight performance during airline operations using the available inboard instrumentation system. This method tries to reduce the disadvantages of the traditional specific range monitoring technique where instrumentation noise and cruise stabilisation conditions affect the quality of the performance monitoring results. The proposed method consists of using an unscented Kalman filter for aircraft performance identification using Newton’s flight dynamic equations in the body X, Y and Z axis. The use of the filtering technique reduces the effect of instrumentation and process noise, enhancing the reliability of the performance results. Besides the better quality of the monitoring process, using the proposed technique, additional results that are not possible to predict with the specific range method are identified during the filtering process. An example of these possible filtered results that show the advantages of this proposed methodology are the aircraft fuel flow offsets, as predicted in the specific range method, but also other important aircraft performance parameters as the aircraft lift and drag coefficients (CL and CD), sideslip angle (β) and wind speeds, giving the operator a deeper understanding of its aircraft operational status and the possibility to link the operational monitoring results to aircraft maintenance scheduling. This work brings a cruise stabilisation example where the selected performance monitoring parameters such as fuel flow factors, lift and drag bias, winds and sideslip angle are identified using only the inboard instrumentation such as the GPS/inertial sensors, a calibrated anemometric system and the angle-of-attack vanes relating each flight condition to a specific aircraft performance monitoring result. The results show that the proposed method captures the performance parameters by the use of the Kalman filter without the need of a strict stabilisation phase as it is recommended in the traditional specific range method, giving operators better flexibility when analysing and monitoring fleet performance.

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