NTSB CAROL · Event
Event WPR23LA013
Registry · N7746Y
FAA Aircraft Registry record.
Make / Model
PIPER PA-30
Year of manufacture
1965 · 57 years old at event
TCDS
A1EA · PIPER AIRCRAFT INC
Engine
LYCOMING IO-320 SERIES (150 hp)
Seats / Engines
6 seats · 2 engines
Last airworthiness date
19650511
ADS-B equipped
Yes — Mode-S AA7B24
Registrant of record
SNOW ROBERT I
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s loss of control during landing for reasons that could not be determined based on the available evidence.
Factual narrative
On October 15, 2022, about 1200 mountain standard time, a Piper PA-30, N7746Y, was substantially damaged when it was involved in an accident near Ryan Field Airport (RYN), Tucson, Arizona. The pilot and passenger were not injured. The airplane was operated as a Title 14 Code of Federal Regulations Part 91 personal flight. The pilot reported that, on short final to land at RYN, the airplane yawed “hard right.” He stated that full left rudder was needed to keep the airplane straight. The pilot stated that he thought that he heard an engine surge. The airplane subsequently touched down hard and departed the right side of the runway. The pilot reported that all three landing gear collapsed and that the airplane then slid to a stop. The left wing buckled during the accident sequence. No wind gusts were reported during the approach or landing. A postaccident examination of the wreckage was conducted. Flight control continuity was verified to all flight controls, and all flight control surfaces moved freely and as commanded when the aileron, elevator, and rudder controls were manipulated in the cockpit. Engine control continuity was verified by manipulating the throttle, mixture, and propeller controls in the cockpit and observing the associated controls move at each engine. The engine control manipulation was normal except for the constantspeed propeller control for the right engine. Excessive resistance was felt while manipulating the right engine propeller control, but the control lever was able to move throughout the full range of motion. The pilot recalled no unusual resistance in the engine controls before the accident. An engine run was accomplished on both engines. Before attempting the engine run on the right engine, the propeller control cable was disconnected at the propeller governor control arm. The control arm on the propeller controller operated normally and without restriction after the cable was disconnected. The resistance remained when the propeller control lever was manipulated while disconnected. The cable was then reconnected to the propeller control on the engine. The source of the resistance was not identified. Both engines started normally using onboard battery power and ran normally as engine power was increased to about 1,700 rpm. Engine power was not increased beyond 1,700 rpm due to vibration from damaged propeller blades. Each engine responded appropriately when individual magnetos were selected, and each propeller cycled normally when commanded. No anomalies were noted with either engine. A JPI engine data monitor was recovered from the airplane. The downloaded data correlated to the accident flight. No anomalies were noted in the recovered data. The pilot reported that, while on short final to land, the airplane yawed to the right. The pilot stated that full left rudder was needed to keep the airplane straight. The airplane subsequently touched down hard and departed the right side of the runway. All three landing gear collapsed and the left wing buckled, which resulted in substantial damage to the airplane. A postaccident examination of the airplane and engines was conducted, including test runs of both engines. No anomalies were noted that would have precluded normal operation or contributed to the loss of control during landing. Engine data from the accident flight were recovered, and no anomalies were noted in the data. Thus, the reason for the pilot’s loss of control during landing could not be determined based on the available evidence for this investigation. 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-Directional control-Unknown/Not determined
- — Not determined-Not determined-(general)-(general)-Unknown/Not determined
Verbatim from NTSB's published report. Source file
NTSB_2022_WPR23LA013.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 ↗