Complementary data fusion in guidance and control of robot compliant motion

1998 ◽  
Author(s):  
Di Xiao ◽  
Bijoy K. Ghosh ◽  
Ning Xi ◽  
Tzyh-Jong Tarn
Keyword(s):  
Data Fusion ◽  
Compliant Motion ◽  
Guidance And Control ◽  
And Control

Applications of Artificial Intelligence in Flight Management Systems

2020 ◽  
pp. 180-192
Author(s):  
Ivan Ostroumov ◽  
Nataliia Kuzmenko
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Management System ◽  
Management Systems ◽  
Multiple Sensors ◽  
Guidance And Control ◽  
Internal Memory ◽  
Computer Based ◽  
Navigational Aids ◽  
And Control

Flight management system (FMS) is one of the key elements of the modern airplane. It is a computer-based system that helps a pilot with different routine operations. FMS includes numerous algorithms of Artificial Intelligence to support navigation, guidance, and control of aircraft. FMS hosts algorithms of airplane positioning by data from navigational aids and data fusion from multiple sensors. The internal memory of FMS includes global air navigation databases such as runways, airports data, air navigation charts, navigational aids, SIDs, STARs, approaches, and routes for automatic support of airplane operation.

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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