Asymptotic Properties of LQG/LTR Controllers in Flight Control Problems

2012 ◽  
Author(s):  
Kevin Wise ◽  
Eugene Lavretsky
Keyword(s):  
Flight Control ◽  
Asymptotic Properties ◽  
Control Problems

scholarly journals Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Leticia Cervantes ◽  
Oscar Castillo ◽  
Denisse Hidalgo ◽  
Ricardo Martinez-Soto
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Flight Control ◽  
Fuzzy Systems ◽  
Performance Enhancement ◽  
Fuzzy Controller ◽  
Control Problems ◽  
Genetic Optimization ◽  
Two Parameters

We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm. The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm. In this case of study, we use fuzzy systems for adapting two parameters of the genetic algorithm to improve the design of a type 2 fuzzy controller and enhance its performance to achieve flight control. Finally, a statistical test is presented to prove the performance enhancement in the application using fuzzy adaptation in the genetic algorithm. It is important to mention that not only is this idea for control problems but also it can be used in pattern recognition and many different problems.

scholarly journals Issues of physical interaction of unmanned aircraft manipulators with ground objects

2018 ◽  
Vol 161 ◽  
pp. 03021 ◽  
Author(s):  
Vinh Nguyen ◽  
Oksana Solenaya ◽  
Petr Smirnov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Unmanned Aircraft ◽  
Control Problems ◽  
Physical Interaction ◽  
Power Resources ◽  
The Earth ◽  
Manipulation System ◽  
Aerial Vehicle ◽  
Surrounding Space

Adding an onboard manipulation system to an unmanned aerial vehicle (UAV) significantly complicates framework, functioning algorithms, and leads to an increase in overall dimensions. The physical interaction of the manipulator with objects influences to unstabilization of UAV, which in turn leads to difficulties in positioning the UAV and reduces the accuracy of gripper motion. In addition, the physical interaction of the manipulator with objects requires increased power resources of UAVs. The article analyzes modern research of UAVs with a manipulator, including flight control problems, avoidance of contact with the earth, surrounding space, as well as manipulations with the captured object. On the basis of the analysis, a list of new problems arising in the physical interaction of UAVs with objects through an embedded manipulator is formulated.

A continuation design framework for nonlinear flight control problems

2006 ◽  
Vol 110 (1104) ◽  
pp. 85-96 ◽  
Author(s):  
T. S. Richardson ◽  
M. H. Lowenberg
Keyword(s):  
Flight Control ◽  
Systematic Approach ◽  
Control Law ◽  
Control Problems ◽  
Eigenstructure Assignment ◽  
Design Framework ◽  
Aircraft Control ◽  
Fighter Aircraft ◽  
Highly Nonlinear ◽  
Fifth Order

Abstract A methodology referred to as the continuation design framework is developed for application to nonlinear flight control problems. This forms the basis of a systematic approach to control system design for aircraft operating in highly nonlinear regions of the flight envelope. The essence of the continuation design framework is to combine bifurcation analysis with modern control methods such as eigenstructure assignment. Theoretical and practical issues of the approach are discussed with particular reference to the problems posed by agile fighter aircraft. The proposed methodology is applied to a fifth order hypothetical aircraft model and is shown to provide a visible, flexible and logical approach to nonlinear aircraft control law design.

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