scholarly journals Methodology of determining of the transfer function of engagement kinematics of accelerations of an aircraft and its elliptic coordinates in alternative representation

2021 ◽  
pp. 15-24
Author(s):  
V. V. Legkostup
Keyword(s):  
Linear Control ◽  
Control Law ◽  
Passive Mode ◽  
Elliptic Coordinates ◽  
Alternative Representation ◽  
Optimal Linear ◽  
Navigation Equipment ◽  
Navigation Information ◽  
Kinematics Parameters ◽  
Navigation Method

In this work, simplified expressions have been obtained that describe the kinematics parameters of the aircraft movement and its accelerations. These expressions are needed to obtain an optimal linear control law in order to provide movement of the aircraft using the hyperbola guidance method with a time difference of arrival navigation system. The key feature of the hyperbola navigation method is the ability to reduce the number of navigation positions by one when the on-board navigation equipment operates in a passive mode, carrying out only the reception of navigation information, like consumers of satellite navigation information.

Extended Kalman Filtering and its Application to Intelligent Missile Formation Flight Mechanics

2013 ◽  
Vol 387 ◽  
pp. 193-196
Author(s):  
Xu Zhang ◽  
Nai Gang Cui ◽  
Xiao Gang Wang
Keyword(s):  
Formation Flight ◽  
Flight Mechanics ◽  
Line Of Sight ◽  
Relative Navigation ◽  
Extended Kalman Filtering ◽  
Vision Navigation ◽  
Simulation Results ◽  
Navigation Equipment ◽  
Navigation Information ◽  
Navigation Method

Aimed at the needs of intelligent missile cooperative engagement mission, a relative navigation method based on INS/Vision is presented, and the relative inertial equation between leader missiles and attack ones is derived. The line of sight measurement is acquired by observing the beacons on the attack ones using the vision navigation equipment on the leader missiles. The extended Kalman filter is used to estimate the relative attitude, relative velocity and relative position by fusing the inertial navigation information and the line of sight measurement. Simulation results verify the effectiveness of the relative navigation method. Improve the estimated accuracy of missile in formation flight mechanics.

OPTIMAL LINEAR CONTROL APPLIED IN A ENERGY HARVESTING DYNAMIC SYSTEM WITH PERIODIC EXCITATION

2019 ◽  
Author(s):  
Estevão Fuzaro de Almeida ◽  
Fabio Roberto Chavarette ◽  
Douglas da Costa Ferreira
Keyword(s):  
Energy Harvesting ◽  
Dynamic System ◽  
Linear Control ◽  
Periodic Excitation ◽  
Optimal Linear

scholarly journals Extended Kalman Filter for Bearings-Only Tracking

2019 ◽  
Vol 8 (6) ◽  
pp. 637-640 ◽  
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Constant Velocity ◽  
Target Motion ◽  
Passive Mode ◽  
Crucial Issue ◽  
Straight Line ◽  
Optimal Linear ◽  
Target Motion Analysis ◽  
Line Path

Target tracking using bearings-only measurements in passive mode operation of sonar is a crucial issue of underwater tracking. Target motion in underwater scenario is analyzed using bearings-only measurements and calculating parameters like range, course and speed of the target. This is called Target Motion Analysis (TMA). TMA process is highly non-linear as the measurements chosen are nonlinearly related to the selected target state vector and the traditional, optimal linear Kalman filter will not be appropriate to use. It is presumed that the target is moving in straight line path with constant velocity, so Extended Kalman Filter (EKF) is proposed in this paper. The algorithm is simulated for several scenarios using MATLAB. Monte-Carlo runs are performed to evaluate the capability of the algorithm.

A Nonlinear Fuzzy Logic Controller Developed for an Autonomous Surface Boat

2005 ◽  
Author(s):  
Thomas A. Bean ◽  
Akira Okamoto ◽  
John R. Canning ◽  
Dean B. Edwards
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Optimization Method ◽  
Operating Point ◽  
Linear Feedback ◽  
Control Law ◽  
Linear Feedback Control ◽  
Linear Controller ◽  
Optimal Linear ◽  
Optimal Set

This paper presents an optimized nonlinear fuzzy logic controller designed for an autonomous surface craft and describes the process by which it was found. The nonlinear fuzzy logic controller described herein was developed to maintain the linear feedback control of an optimal set of controller gains when the state is near the operating point. The simplex optimization method was utilized to find the optimal fuzzy logic parameters that define the shape of the control law away from the normal operating point. The resultant controller showed approximately a 20% improvement over the optimal linear controller.

Implicit linear control law of a close-spaced vapor transport process

2000 ◽  
Vol 8 (5) ◽  
pp. 569-579 ◽  
Author(s):  
M.Bonilla Estrada ◽  
V. Rejon ◽  
R. Castro-Rodriguez
Keyword(s):  
Transport Process ◽  
Vapor Transport ◽  
Linear Control ◽  
Control Law

Non-linear control design for a boost converter using bond graphs

2002 ◽  
Vol 216 (1) ◽  
pp. 1-11 ◽  
Author(s):  
X Lin-Shi ◽  
J-M Retif ◽  
B Allard ◽  
H Morel
Keyword(s):  
Current Mode ◽  
Bond Graph ◽  
Boost Converter ◽  
Linear Control ◽  
Control Law ◽  
Model Errors ◽  
Real Time Control ◽  
Power Semiconductor ◽  
Non Linear ◽  
Averaged Model

The bond graph technique is applied to model a boost converter in order to derive an averaged model. The obtained averaged model is non-ideal as it takes into account most of the converter non-linearities introduced by power semiconductor devices. An ideal averaged model of the converter can be deduced easily for computing a non-linear control law in a real-time control context. The current-mode control of the boost converter is considered. The zero dynamics are studied by both classical theory and the bond graph approach. A modified version of a conventional nonlinear control law is proposed in order to improve the dynamic behaviour and to reduce the sensitivity to control model errors. The non-ideal averaged model is used firstly for simulation analyses of the proposed control law and then for comparison with experimental results.

ON LOCAL CONTROL OF CHAOS: THE NEIGHBOURHOOD SIZE

1996 ◽  
Vol 06 (01) ◽  
pp. 169-178 ◽  
Author(s):  
MIRKO PASKOTA
Keyword(s):  
Functional Analysis ◽  
Fixed Point ◽  
Dynamical Systems ◽  
Local Control ◽  
Linear Control ◽  
Control Law ◽  
Control Of Chaos ◽  
Stability Margins ◽  
Chaotic Dynamical Systems ◽  
The Stability

In this paper, conditions for effective local control of nonlinear, chaotic dynamical systems are analyzed. The aim is to determine the size of a neighbourhood of a fixed point in which the system remains stable when subjected to a linear control law. The stability margins are obtained using ideas from functional analysis, and ways of implementing the obtained results in practice are proposed. An implementation of obtained conditions is illustrated on a real application.

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