NTSB CAROL · Event
Event GAA17CA514
Registry · N622MP
FAA Aircraft Registry record.
Make / Model
ROBINSON HELICOPTER R22 BETA
Year of manufacture
2006 · 11 years old at event
TCDS
H10WE · ROBINSON HELICOPTER CO
Engine
LYCOMING O-360-J2A (145 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20060124
ADS-B equipped
Yes — Mode-S A81ECC
Registrant of record
SPITZER HELICOPTER LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The student pilot’s failure to maintain yaw control and the flight instructor’s delayed remedial action.
Factual narrative
The helicopter flight instructor reported that the student was practicing quick-stops on the taxiway. The student was hovering with a tailwind and began to accelerate when the helicopter started a "fast yaw to the right". He added that they stopped the acceleration, checked the engine gauges, and then accelerated again. As the helicopter was going through effective translational lift (ETL), it spun to the right. The flight instructor took the flight controls, noticed the rpm was high, and reduced the throttle. The helicopter impacted the ground backwards and slid before coming to rest. The helicopter sustained substantial damage to the vertical stabilizer. The flight instructor reported that there were no preaccident mechanical failures or malfunctions with the helicopter that would have precluded normal operation. A review of recorded data from the automated weather observation station located on the airport reported that, about 37 minutes before the accident, the wind was from 190° at 7 knots. The helicopter was taxiing to the north. The helicopter flight instructor reported that the student was practicing quick-stops on the taxiway. The student was hovering with a tailwind and began to accelerate when the helicopter started a "fast yaw to the right." He added that they stopped the acceleration, checked the engine gauges, and then accelerated again. As the helicopter was going through effective translational lift, it spun to the right. The flight instructor took the flight controls, noticed the rpm was high, and reduced the throttle. The helicopter impacted the ground backward and slid before coming to rest. The helicopter sustained substantial damage to the vertical stabilizer. The flight instructor reported that there were no preaccident mechanical failures or malfunctions with the helicopter that would have precluded normal operation. A review of recorded data from the automated weather observation station located on the airport reported that, about 37 minutes before the accident, the wind was from 190° at 7 knots. The helicopter was taxiing to the north. 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 Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Yaw control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Student/instructed pilot - C
- C Personnel issues-Action/decision-Action-Delayed action-Instructor/check pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2017_GAA17CA514.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 (icing). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- NASA NTRS 2025 · Presentation
NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- arXiv 2024 · arXiv preprint
An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…
- NASA NTRS 2024 · Presentation
NASA Icing Update – Oct 2024
This presentation provides a status update on select NASA icing research activities for the SAE AC-9C Icing Technical Committee Meeting on Oct 21, 2024.
Browse the full corpus — academia portal ↗