Beg i n n i n g in 1971 , the Naval Training Equi pment Center un dertook a sequence of studies to demonstrate the conceptual and technical possibil ity of exploiting advanced training methodology and simulation technology , especially computer related technology. Three initial studies involving simulation training we re undertaken. The first was directed to a general fli g h t task-t he Ground Controlled Approach. ' The second was d i r e c ted to a student training task-basic flight maneuvers. 2 The t h i r d was di rected to an operational training task-air-to-air missile attack. 1 The studies were successful and demonstrated that : a. The state-of-the-art of computer software and hardware tech nology was not constraining the application of advanced simu-la tion training techniques. b. Automated simulation training was possible inc luding the basic training functions of : (1) Simulator initialization. (2) Training session monitor and control. (3) Objective performance measurement. Cha r les , John P. an d John son , Robert M. Au tomated Train ~~~ Evalua tion (ATE).
Abstruct-Traditional missile autopilot design typically uses a three loop feedback topology with gains dependent on the current flight condition of the missile. These gain values are obtained by interpolation on a predefined gain table. The gain values that make up this table are designed to balance performance and stability on the grid of flight conditions that define the missile's flight envelope. Robustness to parameter variation either requires a dense gain table, which necessitates a significant amount of on-board memory, or large stability margins, which may limit the aggressiveness of the missile's performance.This paper describes the continuing autopilot design project Adaptive Nonlinear Dynamic Inversion (ANDI). The ANDI autopilot uses non-linear dynamic inversion with an adaptive element to account for errors in the inversion process. A reference model is designed to provide the desired output performance, This technique allows the missile's performance to be tuned by simply adjusting a few reference model parameters. This results in a design that is robust with respect to aerodynamic modeling inaccuracies and to external disturbances.
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