Analysis of Pilot-Induced-Oscillation and Pilot Vehicle System Stability Using UAS Flight Experiments Article Swipe
Tanmay Mandal
,
Yu Gu
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace3040042
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace3040042
This paper reports the results of a Pilot-Induced Oscillation (PIO) and human pilot control characterization study performed using flight data collected with a Remotely Controlled (R/C) unmanned research aircraft. The study was carried out on the longitudinal axis of the aircraft. Several existing Category 1 and Category 2 PIO criteria developed for manned aircraft are first surveyed and their effectiveness for predicting the PIO susceptibility for the R/C unmanned aircraft is evaluated using several flight experiments. It was found that the Bandwidth/Pitch rate overshoot and open loop onset point (OLOP) criteria prediction results matched flight test observations. However, other criteria failed to provide accurate prediction results. To further characterize the human pilot control behavior during these experiments, a quasi-linear pilot model is used. The parameters of the pilot model estimated using data obtained from flight tests are then used to obtain information about the stability of the Pilot Vehicle System (PVS) for Category 1 PIOs occurred during straight and level flights. The batch estimation technique used to estimate the parameters of the quasi-linear pilot model failed to completely capture the compatibility nature of the human pilot. The estimation results however provided valuable insights into the frequency characteristics of the human pilot commands. Additionally, stability analysis of the Category 2 PIOs for elevator actuator rate limiting is carried out using simulations and the results are compared with actual flight results.
Related Topics
Concepts
Flight simulator
Flight test
Overshoot (microwave communication)
Elevator
Simulation
Longitudinal static stability
Stability (learning theory)
Computer science
Control theory (sociology)
Engineering
Aerospace engineering
Aerodynamics
Control (management)
Artificial intelligence
Telecommunications
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/aerospace3040042
- https://www.mdpi.com/2226-4310/3/4/42/pdf?version=1480408132
- OA Status
- gold
- Cited By
- 20
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2559329062
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2559329062Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/aerospace3040042Digital Object Identifier
- Title
-
Analysis of Pilot-Induced-Oscillation and Pilot Vehicle System Stability Using UAS Flight ExperimentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-11-29Full publication date if available
- Authors
-
Tanmay Mandal, Yu GuList of authors in order
- Landing page
-
https://doi.org/10.3390/aerospace3040042Publisher landing page
- PDF URL
-
https://www.mdpi.com/2226-4310/3/4/42/pdf?version=1480408132Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2226-4310/3/4/42/pdf?version=1480408132Direct OA link when available
- Concepts
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Flight simulator, Flight test, Overshoot (microwave communication), Elevator, Simulation, Longitudinal static stability, Stability (learning theory), Computer science, Control theory (sociology), Engineering, Aerospace engineering, Aerodynamics, Control (management), Artificial intelligence, Telecommunications, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
20Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 4, 2022: 5, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2226-4310/3/4/42/pdf?version=1480408132 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Aerospace |
| primary_location.landing_page_url | https://doi.org/10.3390/aerospace3040042 |
| publication_date | 2016-11-29 |
| publication_year | 2016 |
| referenced_works | https://openalex.org/W4214649073, https://openalex.org/W272720598, https://openalex.org/W1994712185, https://openalex.org/W2155343210, https://openalex.org/W2015668054, https://openalex.org/W2746178017, https://openalex.org/W2165619044, https://openalex.org/W2057231869, https://openalex.org/W2170053665, https://openalex.org/W2099880615, https://openalex.org/W2335377560, https://openalex.org/W2333379460, https://openalex.org/W1970740683, https://openalex.org/W1549447737, https://openalex.org/W2325404372, https://openalex.org/W6602545015, https://openalex.org/W563247493, https://openalex.org/W1495642164, https://openalex.org/W1552500605, https://openalex.org/W2335698074, https://openalex.org/W1507612722, https://openalex.org/W1560366946, https://openalex.org/W2165875467, https://openalex.org/W2322791767, https://openalex.org/W2333858102, https://openalex.org/W2116081759, https://openalex.org/W2085348614 |
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