NTSB CAROL · Event
Event CEN12LA013
Registry · N455BW
FAA Aircraft Registry record.
Make / Model
AUTOGYRO USA LLC CALIDUS
Year of manufacture
2011 · 0 years old at event
Engine
ROTAX 912ULS SERIES (100 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20110928
ADS-B equipped
Yes — Mode-S A584DD
Registrant of record
WILHELM JERALD H
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot 's inability to maintain control of the gyrocraft during the landing roll for undetermined reasons.
Factual narrative
On October 7, 2011, about 1320 eastern daylight time, an experimental, amateur-built Wilhelm Calidus gyrocraft, N455BW, was substantially damaged during a loss of control on landing at the Thompsonville Airport (7Y2), Thompsonville, Michigan. The private pilot was not injured. The gyrocraft was registered to and operated by the pilot under the provisions of 14 Code of Federal Regulations Part 91. Visual meteorological conditions prevailed for the flight, which was not operated on a flight plan. The local flight departed about 1315. The pilot reported that this was his first flight in the gyrocraft and it was intended to be the first full flight of the required flight test operations phase. He noted that a mechanic had conducted 3 momentary flights over the runway after the gyrocraft had been completed. The gyrocraft was then transported to Michigan. The pilot stated that the takeoff seemed normal, but on the downwind leg of the traffic pattern the gyrocraft tended to roll to the right and he had difficulty keeping it level. He completed the traffic pattern and successfully touched down on the runway. However, after landing, he was unable to maintain control. The gyrocraft departed the runway pavement and rolled onto its right side. The gyrocraft sustained substantial damage to the rotor mast and fuselage. A postaccident inspection confirmed flight control continuity throughout the system. The linkage to the rotor appeared intact. The examination did not reveal any anomalies consistent with a loss of control. The pilot reported that he departed from and landed on runway 27 (2,900 feet by 75 feet, asphalt) at 7Y2. He noted that there was a south wind at approximately 5 knots at the time of the accident. Weight and balance documentation specified a maximum takeoff weight of 1,100 lbs. and a useful load (payload capacity) of 454 lbs. The documentation noted a minimum front seat occupant weight of 143 lbs. without corresponding ballast. The pilot reported a gross weight of 826 lbs. at the time of the accident. He noted that he occupied the front seat during the flight. Records indicated that the pilot's weight complied with the minimum front seat occupant weight requirement. The pilot stated that the takeoff seemed normal but that on the downwind leg of the traffic pattern the gyrocraft tended to roll to the right and he had difficulty keeping it level. He completed the traffic pattern and successfully touched down on the runway. However, after landing, he was unable to maintain control. The gyrocraft departed the runway pavement and rolled onto its right side. A postaccident examination confirmed flight control continuity throughout the system. No preaccident mechanical malfunctions or failures were found that would have precluded normal operation. Documentation indicated that the gyrocraft was loaded within approved weight and balance limitations at the time of the accident. The pilot reported that this was his first flight in the gyrocraft and it was intended to be the first full flight of the required flight test operations phase. He noted that a mechanic had conducted 3 momentary flights over the runway after the gyrocraft had been completed. 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-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2011_CEN12LA013.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 ↗