scholarly journals Guiding a supersonic controlled object in a multi-position air basing radar

Informatics ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 120-138
Author(s):  
V. E. Markevich ◽  
V. V. Legkostup
Keyword(s):  
A Priori ◽  
Control Object ◽  
Optimality Criteria ◽  
Control Device ◽  
Proportional Navigation ◽  
Algebraic Form ◽  
Spherical Coordinate ◽  
Multiply Connected ◽  
Range Finding ◽  
Controlled Object

The possibility of control of a guided supersonic aviation unmanned interceptor on a moving target in an autonomous airborne multi-position radar station has been investigated. To obtain the coordinate information, the algorithm of difference-range finding and difference range-Doppler spatial measurements is selected using a limited number of transmitting positions that do not provide an unambiguous determination of the coordinates and speed of the object with high accuracy. The paper proposes various approaches to eliminate a priori uncertainty regarding the estimated coordinates in a limited set of measuring radio engineering positions.An analytical method is considered for constructing an optimal state control device for a nonlinear multidimensional and multiply connected dynamic object, taking into account the constraints, which allows one to obtain finite computational relations in a closed algebraic form. The control device was synthesized using measurements in the Cartesian and spherical coordinate systems, several varieties of the combined method of pointing a controlled object to an instant meeting point were obtained. The given guidance algorithms are a generalization of the method of proportional navigation widely used in practice and its modifications. A distinctive feature of the synthesized algorithms is the natural accounting for the nonlinear, multidimensional, and multiply connected structure of the control object, as well as the parameters of unsteady perturbations (acceleration of gravity, projections of the longitudinal acceleration of the object and acceleration of the target’s maneuver) that act in the guidance process.The unified kinematic differential equations that describe the dynamics of the control object, are obtained, and they can be used to synthesize a controller that operates according to switched or smoothly matched non-stationary optimality criteria (target functions, target integral manifolds). The developed algorithms can be used in the design of autonomous homing and telecontrol systems, implemented in hardware and software both on board an unmanned aerial or artillery interceptor, and as a part of autonomous multiposition airborne radar stations.

AN ADAPTIVE PROPORTIONAL NAVIGATION GUIDANCE LAW FOR INTERCEPTION OF A MANEUVERING TARGET

2005 ◽  
Vol 29 (2) ◽  
pp. 195-209
Author(s):  
Dany Dionne ◽  
Hannah Michalska
Keyword(s):  
A Priori ◽  
Time Instant ◽  
Proportional Navigation ◽  
Maneuvering Target ◽  
Guidance Law ◽  
Hierarchical Decision ◽  
On Line ◽  
Priori Information ◽  
Miss Distance ◽  
Proportional Navigation Law

A new adaptive proportional navigation law for interception of a maneuvering target is presented. The approach employs a bank of guidance laws and an on-line governor to select the guidance law in effect at each time instant. The members of the bank are the proportional navigation law and a companion law suitable for a target moving with a constant acceleration. The governor is a hierarchical decision rule which uses the outputs from a maneuver detector and the available a-priori information about the expected number of evasive maneuvers. Simulation results demonstrate that the adaptive approach leads to a reduction in the miss distance as compared with cases where only a single non-adaptive guidance law is available.

scholarly journals Cooperative Control Method of Active and Semiactive Control: New Framework for Vibration Control

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Kazuhiko Hiramoto
Keyword(s):  
Vibration Control ◽  
Active Control ◽  
Cooperative Control ◽  
Control Method ◽  
Design Method ◽  
Control Object ◽  
Control Device ◽  
Semiactive Control ◽  
Control Input ◽  
Control Approach

A new control design framework for vibration control, the cooperative control of active and semiactive control, is proposed in the paper. In the cooperative control, a structural system having both of an actuator and a semiactive control device, for example, MR damper and so forth, is defined as the control object. In the proposed control approach, the higher control performance is aimed by the cooperative control between the active control with the actuator and the semiactive control with the semiactive control device. A design method to determine the active control input and the command signal to drive the semiactive control device based on the one-step prediction of the control output is proposed. A simulation example of a control system design for a benchmark building is presented to show the effectiveness of the proposed control framework.

scholarly journals Mathematical modeling of the trajectory of a ship as a control object in local planning

2021 ◽  
Vol 339 ◽  
pp. 01015
Author(s):  
Oleksandr Kupraty
Keyword(s):  
Control Object ◽  
Water Area ◽  
Control Device ◽  
Local Planning ◽  
Operating Modes ◽  
Vibration Sensors ◽  
Global Planning ◽  
The Given ◽  
Rudder Angle ◽  
Sector Method

In the article proposes the decomposition of the global planning task in local planning. It is proposed to combine the segment method and the sector method of division of the circle to construct the ship’s trajectory in local planning. Corrective coefficients were selected for the correct geometry of the turning trajectory, combining the segment method and the sector method of constructing the ship’s trajectory. The article uses formulas of spherical trigonometry; the trajectory of the turn depends on the rudder angle, which in turn depends on the turning ability of the vessel under the given conditions. In determining the value of the angle of the rudder, the control device must take into account the ship’s turning ability in the conditions set, the value of the angle of the turn and the constrained water area. The combination of all factors allows to differentiate the ship’s turning ability such as: high HG, middle MD or low LW with regard to passage area. The ME shifting operating modes matrix proposed in the article works as a filter of modes of operation and is completely dependent on the readings of pressure, temperature and vibration sensors. The ship’s trajectory is constructed using calculations in MS Excel and graphic simulations in the MATLAB environment.

scholarly journals An Intelligent cluster-based segmentation using Wavelet Features:Application to Medical Images

2010 ◽  
Author(s):  
Thavavel V ◽  
JafferBasha J
Keyword(s):  
Medical Images ◽  
Automatic Segmentation ◽  
A Priori ◽  
User Interaction ◽  
Region Of Interest ◽  
Feature Space ◽  
Discrete Wavelet ◽  
Wavelet Frames ◽  
Translation Invariant ◽  
Spherical Coordinate

Segmentation forms the onset for image analysis especially for medical images, making any abnormalities in tissues distinctly visible. Possible application includes the detection of tumor boundary in SPECT, MRI or electron MRI (EMRI). Nevertheless, tumors being heterogeneous pose a great problem when automatic segmentation is attempted to accurately detect the region of interest (ROI). Consequently, it is a challenging task to design an automatic segmentation algorithm without the incorporation of ‘a priori’ knowledge of an organ being imaged. To meet this challenge, here we propose an intelligence-based approach integrating evolutionary k-means algorithm within multi-resolution framework for feature segmentation with higher accuracy and lower user interaction cost. The approach provides several advantages. First, spherical coordinate transform (SCT) is applied on original RGB data for the identification of variegated coloring as well as for significant computational overhead reduction. Second the translation invariant property of the discrete wavelet frames (DWF) is exploited to define the features, color and texture using chromaticity of LL band and luminance of LH and HL band respectively. Finally, the genetic algorithm based K-means (GKA), which has the ability to learn intelligently the distribution of different tissue types without any prior knowledge, is adopted to cluster the feature space with optimized cluster centers. Experimental results of proposed algorithm using multi-modality images such as MRI, SPECT, and EMRI are presented and analyzed in terms of error measures to verify its effectiveness and feasibility for medical applications.

Stability of digital multiply connected control systems

2003 ◽  
Vol 3 ◽  
pp. 308-319
Author(s):  
O.D. Liantsev
Keyword(s):  
Control Systems ◽  
Theoretical Investigation ◽  
Control Object ◽  
Control Law ◽  
Multiply Connected ◽  
The Stability

The problem of theoretical investigation of the stability of digital multiply connected control systems and the influence on the stability of errors of numerical values of the parameters of the model of the control object and ways of implementing the control law are considered.

Design and Simulation of Fuzzy Control System in DSCC Processing of Cu Single Crystal

2010 ◽  
Vol 154-155 ◽  
pp. 545-552
Author(s):  
Hua Ping Xu ◽  
Yong Ming Bian ◽  
Xie Min Mao
Keyword(s):  
Fuzzy Control ◽  
Closed Loop ◽  
Control Process ◽  
Control Object ◽  
Control Device ◽  
Control Mode ◽  
Closed Loop Control ◽  
Random Disturbance ◽  
Directional Growth ◽  
Loop Control

Directional solidification continuous casting (DSCC) processing is steady directional growth process of Cu crystal. It was influenced by seven parameters, and very easy to be broken for some disturbance. Therefore, random crystals grew. In this paper, location of liquid-solid interface Z was set as control object. And correction disturbance closed-loop control was set as general control planning in DSCC processing. Then fuzzy control was selected as control mode. And control algorithm was designed. The closed-loop control process in DSCC processing was simulated. The simulation results showed that control object could return to safe rang even existing random disturbance. And the control process had good stability. Designed fuzzy control device could satisfy DSCC process requirement.

scholarly journals DEVELOPMENT OF STRUCTURAL SCHEMES AND OPERATION ALGORITHMS FOR THE AUTOMATIC CONTROL SYSTEM OF A MULTIFUNCTIONAL ENERGY COMPLEX

2021 ◽  
Vol 445 (1) ◽  
pp. 82-90
Author(s):  
G. Kalimbetov ◽  
A. Toigozhinovа ◽  
W. Wojcik
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Control Systems ◽  
Dynamic Control ◽  
Control Object ◽  
Control Device ◽  
Automatic Control Systems ◽  
Operating Modes ◽  
Quality Of Control

Among the promising automatic control systems, logical-dynamic control systems that change both the structure and parameters of the control device using switches formed on the basis of a certain logical algorithm have proven themselves well. The use of logical algorithms as part of MACS subsystems for complex technical objects makes it possible to increase the static and dynamic accuracy of control due to purposeful qualitative and quantitative changes in the control signal. This approach will give the control system fundamentally new properties that allow to fully take into account the nature and dynamics of the movement of the control object. When developing existing logical control algorithms, the issues of their application for multi-connected and multifunctional objects control were not considered. Common to existing logical algorithms is that when switching the structure and/or changing parameters, only the dynamics of its own subsystem is taken into account, which is unacceptable in the case of multi-connected dynamic object control, since cross-links have a significant impact on the quality of control. Thus, the problem of synthesis of logical algorithms for multi-connected objects control is an actual theoretical and applied problem. Despite the considerable amount of research conducted in this area, the application of logical algorithms for complex multidimensional objects control is not sufficiently considered, and there is no unified design concept for this type of MACS, taking into account the required quality of functioning in various operating modes. In this regard, there is a need to synthesize algorithms for logical multi-connected control that form control signals in order to coordinate the actions of all separate MACS subsystems in accordance with new external conditions and operating modes. The problem under consideration determined the purpose of this work and the research objectives.

scholarly journals Features of construction of evaluation algorithms multidimensional random processes

2020 ◽  
pp. 24-32
Author(s):  
A. A. Lobaty ◽  
A. Y. Bumai
Keyword(s):  
Random Process ◽  
Mathematical Description ◽  
A Priori ◽  
Random Processes ◽  
Optimality Criteria ◽  
Posteriori Probability ◽  
A Posteriori ◽  
A Posteriori Probability ◽  
Additional Information

The problem of evaluating the information which is present in random signals from various sources-meters is considered. It is assumed that the random process which is evaluated and the meter output according mathematical description of the problem are vector random processes. In this case, the dimension of the vector of the measurement can be larger than the dimension of the vector of the process being evaluated. The analysis of analytical methods and algorithms of the estimation that based on the determination of the main probabilistic characteristics of a random process by both the a priori and the a posteriori methods with various optimality criteria is carried out. Based on the analysis, the problem of complexing of the meters of the random process is considered according the proposed criterion for the maximum of posterior verisimilitude, combining the criterion of maximum verisimilitude and the criterion of maximum the a posteriori probability, general methodology complexing is developed. Proposed example of the complexing shows the efficiency of the proposed method. This approach to the construction of the algorithms of the evaluation for multidimensional random processes allows to increase the accuracy of estimation, since it takes into account additional information and its complex processing.

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