scholarly journals Analysis of the Effects of Thermal Environment on Optical Systems for Navigation Guidance and Control in Supersonic Aircraft Based on Empirical Equations

Sensors ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1717 ◽  
Author(s):  
Xuemin Cheng ◽  
Yikang Yang ◽  
Qun Hao
Keyword(s):  
Thermal Environment ◽  
Optical Systems ◽  
Empirical Equations ◽  
Supersonic Aircraft ◽  
Guidance And Control ◽  
And Control

Autonomous soaring using a simplified MPC approach

2019 ◽  
Vol 123 (1268) ◽  
pp. 1666-1700
Author(s):  
G. Pogorzelski ◽  
F. J. Silvestre
Keyword(s):  
Linear Prediction ◽  
Thermal Environment ◽  
Flight Simulation ◽  
Guidance And Control ◽  
Prediction Horizon ◽  
Time Operation ◽  
Non Linear ◽  
Real Time Operation ◽  
And Control ◽  
Atmospheric Phenomena

ABSTRACTThe need for efficient propulsion systems allied to increasingly more challenging fixed-wing UAV mission requirements has led to recent research on the autonomous thermal soaring field with promising results. As part of that effort, the feasibility and advantages of model predictive control (MPC)-based guidance and control algorithms capable of extracting energy from natural occurring updrafts have already been demonstrated numerically. However, given the nature of the dominant atmospheric phenomena and the amplitude of the required manoeuvres, a non-linear optimal control problem results. Depending on the adopted prediction horizon length, it may be of large order, leading to implementation and real-time operation difficulties. Knowing that, an alternative MPC-based autonomous thermal soaring controller is presented herein. It is designed to yield a simple and small non-linear programming problem to be solved online. In order to accomplish that, linear prediction schemes are employed to impose the differential constraints, thus no extra variables are added to the problem and only linear bound restrictions result. For capturing the governing non-linear effects during the climb phase, a simplified representation of the aircraft kinematics with quasi-steady corrections is used by the controller internal model. Flight simulation results using a 3 degree-of-freedom model subjected to a randomly generated time varying thermal environment show that the aircraft is able to locate and exploit updrafts, suggesting that the proposed algorithm is a feasible MPC strategy to be employed in a practical application.

Benefits of Advanced Surface Movement Guidance and Control Systems (A-SMGCS)

2005 ◽  
Vol 13 (4) ◽  
pp. 329-356 ◽  
Author(s):  
Christoph Meier ◽  
Jörn Jakobi ◽  
Paul Adamson ◽  
Sandra Lozito ◽  
Lynne Martin
Keyword(s):  
Control Systems ◽  
Surface Movement ◽  
Guidance And Control ◽  
And Control

Integral barrier Lyapunov functions-based integrated guidance and control design for strap-down missile with field-of-view constraint

2021 ◽  
pp. 014233122098132
Author(s):  
Bin Zhao ◽  
Zhenxin Feng ◽  
Jianguo Guo
Keyword(s):  
Sliding Mode ◽  
State Equation ◽  
Field Of View ◽  
Feedback Form ◽  
Theoretical Derivation ◽  
Guidance And Control ◽  
Integrated Guidance And Control ◽  
Twisting Algorithm ◽  
And Control ◽  
Special Time

The problem of the integrated guidance and control (IGC) design for strap-down missile with the field-of-view (FOV) constraint is solved by using the integral barrier Lyapunov function (iBLF) and the sliding mode control theory. Firstly, the nonlinear and uncertainty state equation with non-strict feedback form for IGC design is derived by using the strap-down decoupling strategy. Secondly, a novel adaptive finite time disturbance observer is proposed to estimate the uncertainties based on an improved adaptive gain super twisting algorithm. Thirdly, the special time-varying sliding variable is designed and the iBLF is employed to handle the problem of FOV constraint. Theoretical derivation and simulation show that the IGC system is globally uniformly ultimately bounded and the FOV angle constraint is also guaranteed not only during the reaching phase but also during the sliding mode phase.

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