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Neural dynamic programming applied to rotorcraft flight control and reconfiguration

Posted on:2002-09-05Degree:Ph.DType:Dissertation
University:Arizona State UniversityCandidate:Enns, Russell JamesFull Text:PDF
GTID:1462390011490564Subject:Engineering
Abstract/Summary:
This dissertation introduces a new rotorcraft flight control methodology based on a relatively new form of neural control, neural dynamic programming (NDP). NDP is an on-line learning control scheme that is in its infancy and has only been applied to simple systems, such as those possessing a single control and a handful of states. This dissertation builds on the existing NDP concept to provide a comprehensive control system framework that can perform well as a learning controller for more realistic and practical systems of higher dimension such as helicopters. To accommodate such complex systems, the dissertation introduces the concept of a trim network that is seamlessly integrated into the NDP control structure and is also trained using this structure. This is the first time that neural networks have been applied to the helicopter control problem as a direct form of control without using other controller methodologies to augment the neural controller and without using order reducing simplifications such as axes decoupling.; The dissertation focuses on providing a viable alternative helicopter control system design approach rather than providing extensive comparisons among various available controllers. As such, results showing the system's ability to stabilize the helicopter and to perform command tracking, without explicit comparison to other methods, are presented. In this research, design robustness was addressed by performing simulations under various disturbance conditions. All designs were tested using FLYRT, a sophisticated, industrial-scale, nonlinear, validated model of the Apache helicopter. Though illustrated for helicopters, the NDP control system framework should be applicable to general purpose multi-input multi-output (MIMO) control.; In addition, this dissertation tackles the helicopter reconfigurable flight control problem, finding control solutions when the aircraft, and in particular its control actuators, are damaged. Such solutions have significant implications as actuator failures are presently deemed catastrophic, resulting in a complete loss of the aircraft. This dissertation develops pioneering reconfigurable flight control methods that are easily integrated into the NDP controller framework. Results show the reconfiguration control strategy to be successful, a first for helicopter flight control.
Keywords/Search Tags:Flight control, Neural, NDP, Dissertation, Helicopter, Applied, Controller
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