Advanced Helicopter Cockpit and Control Configurations for Helicopter Combat Missions

Two piloted simulations were conducted by the U.S. Army Aeroflightdynamics Directorate to evaluate workload and helicopter qualities requirements for single pilot operation in a combat Nap-of-the-Earth environment. The single-pilot advanced cockpit engineering simulation (SPACES) investigations were...

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Bibliographic Details
Main Authors: Haworth, Loran A, Atencio, Adolph, Jr, Bivens, Courtland, Shively, Robert, Delgado, Daniel
Format: Report
Language:English
Subjects:
COCKPITS
CONFIGURATIONS
CONTROL THEORY
Flight Control and Instrumentation
FLIGHT CONTROL SYSTEMS
FLIGHT PATHS
FLIGHT SIMULATION
GLASS
Helicopters
LOW ALTITUDE
MANNED
MISSIONS
MOTION
Nap of the earth
OPTIMIZATION
PILOTS
RATINGS
SIMULATORS
SPACES(Single Pilot Advanced Cockpit Engineering Simulation)
STABILITY
VERTICAL ORIENTATION
WARFARE
WORKLOAD
WUAVSCOM992210
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Summary:Two piloted simulations were conducted by the U.S. Army Aeroflightdynamics Directorate to evaluate workload and helicopter qualities requirements for single pilot operation in a combat Nap-of-the-Earth environment. The single-pilot advanced cockpit engineering simulation (SPACES) investigations were performed on the NASA Ames Vertical Motion Simulator, using the Advanced Digital Control System control laws and an advanced concepts glass cockpit. The first simulation (SPACES I) compared single pilot to dual crewmember operation for the same flight tasks to determine differences between dual and single ratings, and to discover which control laws enabled adequate single-pilot helicopter operation. The SPACES II simulation concentrated on single-pilot operations and use of control laws thought to be viable candidates for single pilot operations workload. Measures detected significant differences between dual-and single-pilot operation and between single-pilot task segments. Control system configurations were task dependent, demonstrating the need for an inflight reconfigurable control system to match the optimal control system with the required task.