NTSB CAROL · Event
Event DCA82IA021
Aircraft involved
Factual narrative
WHILE CLIMBING TO A CRUISE ALTITUDE OF 41000 FEET, THE PILOT ENGAGED THE AUTOPILOT AT APPROXIMATELY 29500 FEET. THE AIRCRAFT STARTED TO PITCH NOSE DOWN SEVERAL SECONDS LATER. THE PITCH TRIM SWITCH WAS TURNED OFF AND THE CIRCUIT BREAKERS PULLED. THE PILOTS WERE AIDED BY A PASSENGER AND USED ALL THEIR STRENGTH TO PULL BACK ON THE CONTROL WHEEL TO KEEP THE AIRCRAFT FROM CONTINUING TO PITCH NOSEDOWN. THE AIRCRAFT LANDED SAFELY. EXAMINATION OF AUTO- PILOT REVEALED THAT AN OVERVOLTAGE CONDITION EXISTED THAT WAS DRIVING THE STAB TRIM ACTUATOR TO THE AIRPLANE NOSE DOWN POSITION. IN ADDITION, THIS CAUSED THE AUTOPILOT EFFORT INDICATOR TO SHOW A MAXIMUM NOSE DOWN DEFLECTION. ACCORDING TO THE COPILOT'S STATEMENT, THE EFFORT INDICATOR WAS AT MAXIMUM DEFLECTION DURING THE PRE-TAKEOFF CHECK. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1982_DCA82IA021.txt.
Findings + structured fields enriched from FAA avall.mdb.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (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 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.
- 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.
- arXiv 2022 · arXiv preprint
Experimental Flight Testing of a Fault-Tolerant Adaptive Autopilot for Fixed-Wing Aircraft
This paper presents an adaptive autopilot for fixed-wing aircraft and compares its performance with a fixed-gain autopilot.
- arXiv 2021 · arXiv preprint
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot.
- arXiv 2020 · arXiv preprint
Reinforcement Learning for Robust Missile Autopilot Design
Designing missiles' autopilot controllers has been a complex task, given the extensive flight envelope and the nonlinear flight dynamics.
Browse the full corpus — academia portal ↗