NTSB CAROL · Event
Event WPR19TA131
Registry · N7532R
FAA Aircraft Registry record.
Make / Model
ROBINSON HELICOPTER R22 BETA
Year of manufacture
2004 · 15 years old at event
TCDS
H10WE · ROBINSON HELICOPTER CO
Engine
LYCOMING O-360 SERIES (180 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20040211
ADS-B equipped
Yes — Mode-S AA27DC
Registrant of record
SPITZER HELICOPTER LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The flight instructor's failure to maintain control of the helicopter while transitioning from a hover to forward flight, which resulted in a loss of control.
Factual narrative
On May 02, 2019, at 1538 eastern daylight time, a Robinson R22 Beta II, N7532R, sustained substantial damage when it was involved in an accident near Lincoln Park, New Jersey. The flight instructor and student pilot were not injured. The airplane was operated as a Title 14 Code of Federal Regulations (CFR) Part 91 personal flight. The flight instructor stated that the purpose of the flight was to perform an introductory demonstration flight with the student pilot. After departing and performing low-level maneuvers for about 30 minutes, the flight instructor opted to return to the airport to practice hovering. After hovering for about 10 minutes, they decided to taxi back to the parking area and end the flight. The instructor assumed authority of the controls and, with the helicopter in a stable hover about 5 to 10 ft above ground level, he was planning to taxi forward to the parking area. The flight instructor recalled that he heard the low rotor rpm warning horn sound and the helicopter simultaneously began a violent yaw to the right while the nose pitched up. The instructor further stated that he immediately attempted to regain control by rolling the throttle to idle to arrest the yaw. Despite his efforts, the tail rotor struck the ground. The helicopter began to spin more rapidly and completed between four to seven full 360° rotations. The helicopter came to rest on its right side. A postaccident examination of the helicopter by a Federal Aviation Administration inspector revealed damage to the main rotor, fuselage, and tail boom. The inspector confirmed flight control continuity from the main rotor to the tail section. An examination of the engine revealed no evidence of mechanical malfunction or failures that would have precluded normal operation. The flight instructor was conducting an introductory flight with the student pilot. After an approximate 40-minute flight, with the helicopter in a stable hover about 5 to 10 ft above ground level, the instructor initiated a hover taxi to the parking area. The instructor recalled that he heard the low rotor rpm warning horn sound, and the helicopter simultaneously began a violent yaw to the right while the nose pitched up. The instructor further stated that he immediately attempted to regain control by rolling the throttle to idle to arrest the yaw. Despite his efforts, the tail rotor impacted the ground, and the helicopter began to spin more rapidly, completing numerous 360° rotations. The helicopter came to rest on its right side. Examination of the helicopter revealed no evidence of mechanical malfunction or failures that would have precluded normal operation. The circumstances of the accident are consistent with the instructor’s failure to maintain yaw control while transitioning to forward flight. 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
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Instructor/check pilot
Verbatim from NTSB's published report. Source file
NTSB_2019_WPR19TA131.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.
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