NTSB CAROL · Event
Event WPR23LA330
Registry · N53GR
FAA Aircraft Registry record.
Make / Model
YAMAHA MOTOR CO LTD FAZER SAR
Year of manufacture
2021 · 2 years old at event
Engine
AMA/EXPR UNKNOWN ENG
Last airworthiness date
20241223
ADS-B equipped
Yes — Mode-S A6AEBA
Registrant of record
YAMAHA MOTOR CORP USA
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The operator’s incorrect input into the ground station controller, resulting in a loss of control during flight and subsequent impact with terrain.
Factual narrative
The operator of the uncrewed aircraft system (UAS) reported that, he and an external emergency safety pilot were conducting an engineering test flight to fine tune the autopilot’s tail rotor yaw limits. While hovering at 50 ft agl, the operator incorrectly input a full left tail rotor command, causing the UAS to begin a rapid counterclockwise rotation. The auto pilot was unable to maintain a level attitude or stabilize the UAS during the rotation, and descended uncontrollably. The safety pilot attempted to stabilize the UAS manually, using the emergency RC controller, to no avail. The UAS impacted the surface, resulting in substantial damage to the tailboom. The operator of the UAS reported that there were no preaccident mechanical malfunctions or failures 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).
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Yaw control-Not attained/maintained
- — Personnel issues-Task performance-Use of equip/info-Use of equip/system-Pilot
- — Personnel issues-Psychological-Attention/monitoring-Task monitoring/vigilance-Pilot
Verbatim from NTSB's published report. Source file
NTSB_2023_WPR23LA330.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, autopilot). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2026 · arXiv preprint
Robust Adaptive Sliding-Mode Control for Damaged Fixed-Wing UAVs
Many unmanned aerial vehicles (UAVs) can remain aerodynamically flyable after sustaining structural or control surface damage, yet insufficient robustness in conventional autopilots often leads to mis…
- 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…
- arXiv 2025 · arXiv preprint
ROSflight 2.0: Lean ROS 2-Based Autopilot for Unmanned Aerial Vehicles
ROSflight is a lean, open-source autopilot ecosystem for unmanned aerial vehicles (UAVs). Designed by researchers for researchers, it is built to lower the barrier to entry to UAV research and acceler…
- arXiv 2025 · arXiv preprint
ROSplane 2.0: A Fixed-Wing Autopilot for Research
Unmanned aerial vehicle (UAV) research requires the integration of cutting-edge technology into existing autopilot frameworks.
- 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.
- arXiv 2024 · arXiv preprint
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control
Autopilots for fixed-wing aircraft are typically designed based on linearized aerodynamic models consisting of stability and control derivatives obtained from wind-tunnel testing.
Browse the full corpus — academia portal ↗