Application of an optimal control pilot model to air-to-air combat

1974 ◽  
Author(s):  
T. HARVEY ◽  
J. DILLOW
Keyword(s):  
Optimal Control ◽  
Pilot Model ◽  
Air Combat

Solving the Problem of UAV Air Combat Game Based on Differential Variational Inequality and D-Gap Function

2014 ◽  
Vol 1042 ◽  
pp. 172-177
Author(s):  
Guang Yan Xu ◽  
Ping Li ◽  
Biao Zhou
Keyword(s):  
Optimal Control ◽  
Variational Inequality ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Differential Game ◽  
Numerical Solutions ◽  
Game Problem ◽  
Gap Function ◽  
Differential Variational Inequality ◽  
Air Combat

The strategy of unmanned aerial vehicle air combat can be described as a differential game problem. The analytical solutions for the general differential game problem are usually difficult to obtain. In most cases, we can only get its numerical solutions. In this paper, a Nash differential game problem is converted to the corresponding differential variational inequality problem, and then converted into optimal control problem via D-gap function. The nonlinear continuous optimal control problem is obtained, which is easy to get numerical solutions. Compared with other conversion methods, the specific solving process of this method is more simple, so it has certain validity and feasibility.

An optimal control approach for alleviation of tiltrotor gust response

2012 ◽  
Vol 116 (1180) ◽  
pp. 651-666 ◽  
Author(s):  
D. Muro ◽  
M. Molica Colella ◽  
J. Serafini ◽  
M. Gennaretti
Keyword(s):  
Optimal Control ◽  
Body Motion ◽  
Control Procedure ◽  
State Estimate ◽  
Control Approach ◽  
Pilot Model ◽  
Aeroelastic Model ◽  
Control Methodology ◽  
Optimal Control Approach ◽  
Gust Response

Abstract The alleviation of gusts effects on a tiltrotor in aeroplane and helicopter operation modes obtained by an optimal control methodology based on the actuation of elevators, wing flaperons and swashplate is examined. An optimal observer for state estimate is included in the compensator synthesis, with the Kalman-Bucy filter applied in the presence of stochastic noise. Tiltrotor dynamics is simulated through an aeroelastic model that couples rigid-body motion with wing and proprotor structural dynamics. An extensive numerical investigation examines effectiveness and robustness of the applied control procedure, taking into account the action of both deterministic and stochastic vertical gusts. In addition, a passive pilot model is included in the aeroelastic loop and the corresponding effects on uncontrolled and controlled gust response are analysed.

Prediction of Pilot Opinion Ratings Using an Optimal Pilot Model

1977 ◽  
Vol 19 (5) ◽  
pp. 459-475 ◽  
Author(s):  
Ronald A. Hess
Keyword(s):  
Optimal Control ◽  
Predictive Capability ◽  
Relative Ease ◽  
Handling Qualities ◽  
Modeling Procedure ◽  
Pilot Model ◽  
Helicopter Landing ◽  
Using Data ◽  
And Task

A brief review of some of the more pertinent applications of analytical pilot models to the prediction of aircraft handling qualities is undertaken. The relative ease with which multiloop piloting tasks can be modeled via the optimal control formulation makes the use of optimal pilot models particularly attractive for handling qualities research. To this end, a rating hypothesis is introduced which relates the numerical pilot opinion rating assigned to a particular vehicle and task to the numerical value of the index of performance resulting from an optimal pilot modeling procedure as applied to that vehicle and task. This hypothesis is tested using data from piloted simulations and is shown to be reasonable. An example concerning a helicopter landing approach is introduced to outline the predictive capability of the rating hypothesis in multiaxis piloting tasks.

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