NTSB CAROL · Event
Event ERA13CA035
Registry · N4KN
FAA Aircraft Registry record.
Make / Model
PIPISTREL TAURUS 503
Year of manufacture
2007 · 5 years old at event
Engine
ROTAX 503ULDCDI (52 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20080222
ADS-B equipped
Yes — Mode-S A4A8DD
Registrant of record
LOKEN HALVAR Y
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain glider control during takeoff.
Factual narrative
The pilot stated that as the glider reached flying speed it began to oscillate with the right wing dipping and impacting the grass runway, which resulted in a loss of control. The tow line disconnected, as designed, and the glider came to rest in an inverted position. The pilot sustained minor injuries. A post-accident examination conducted by a Federal Aviation Administration inspector revealed substantial damage to the wings and the vertical stabilizer. The pilot reported there were no mechanical malfunctions or anomalies with the glider that would have precluded normal operation. The pilot stated that as the glider reached flying speed, it began to oscillate with the right wing dipping and impacting the grass runway, which resulted in a loss of control. The tow line disconnected, as designed, and the glider came to rest in an inverted position. A postaccident examination revealed substantial damage to the wings and the vertical stabilizer. The pilot reported there were no mechanical malfunctions or failures with the glider that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Lateral/bank control-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2012_ERA13CA035.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
Browse the full corpus — academia portal ↗