NTSB CAROL · Event
Event LAX96LA219
Aircraft involved
Probable cause & findings
the student pilot's loss of control and subsequent dynamic rollover due to his abrupt and excessive use of the collective and anti-torque controls.
Factual narrative
On June 5, 1996, at 1115 hours Pacific daylight time, a Robinson R22 Beta, N2311R, rolled over while transitioning from the helipad to hover taxi at the Paso Robles Municipal Airport, Paso Robles, California. The aircraft sustained substantial damage; however, the solo student pilot was not injured. The aircraft was being operated as an instructional flight by Kyodo Air, Inc., when the accident occurred. The flight originated in Paso Robles at 1043 on the morning of the accident. Visual meteorological conditions prevailed and no flight plan had been filed. The student pilot reported that he had been doing hover practice about 1 to 2 feet agl over the helipad. He decided to hover taxi back to the operator's ramp after setting down on the pad. As the helicopter was getting light on the skids, he abruptly pulled collective and the aircraft began to spin to the right. He applied full left pedal and the helicopter then began to spin to the left. He bottomed the collective in an attempt to put the aircraft back down on the pad, and as it touched down, it rolled onto its right side. After the accident, he told another pilot at the school that he had encountered dynamic rollover. The operator reported that the main rotor and tail rotor blades, empennage, swashplate, cyclic and collective control push-pull rods, main rotor gearbox, skids, and windscreen were damaged in the accident. The student pilot decided to hover taxi back to the operator's ramp from the helipad. As the helicopter was getting light on the skids, he abruptly pulled collective and the aircraft began to spin to the right. He applied full left pedal and the helicopter then began to spin to the left. He bottomed the collective in an attempt to put the aircraft back down on the pad, and as it touched down, it rolled onto its right side. After the accident, he told another pilot at the school that he had encountered dynamic rollover. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1996_LAX96LA219.txt.
Findings + structured fields enriched from FAA avall.mdb.
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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.
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