Some Kinds of Pseudo-Intelligent Control Systems for Selecting Trajectories of Flight Vehicles

A.V. Proletarsky; K.A. Neusipin; Kai Shen

doi:10.4028/www.scientific.net/AMM.598.557

Paper Titles

Tuning Method of Fractional Order Controllers for Vibration Suppression in Smart Structures
p.534

CNC Routine for Manufacturing Spur Gear
p.539

Force Feedback Control of Lower Extremity Exoskeleton Assisting of Load Carrying Human
p.546

Attitude Control of a Quadrocopter Using Adaptive Control Technique
p.551

Some Kinds of Pseudo-Intelligent Control Systems for Selecting Trajectories of Flight Vehicles
p.557

Numerical Investigations of Synthetic Jet Control for TAU0015 Airfoil
p.562

Base on Real Time Temperature Monitoring and Sprinkler Cooling Control to Achieve Energy Conservation of Air-Conditioning Systems
p.568

Numerical Control System Research and Development of Acrobatic Stage
p.574

Design and Research on Control System of 200Kw Organic Working Fluid Turbine
p.578

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 598Some Kinds of Pseudo-Intelligent Control Systems...

Some Kinds of Pseudo-Intelligent Control Systems for Selecting Trajectories of Flight Vehicles

Abstract:

In order to effectively solve the problem of selection trajectories of flight vehicles, some pseudo-intelligent systems with functional structures were established. Moreover, systemogenesis of pseudo-intelligent control systems of flight vehicles was illustrated. Based upon the theory of P.K. Anoxin functional systems and self-organization algorithms, the perspective pseudo-intelligent control systems for all stages of systemogenesis can make a reality of the whole-life control of flight vehicles.

You might also be interested in these eBooks

Advanced Materials, Mechanics and Industrial Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 598)

Pages:

557-561

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.598.557

Citation:

Cite this paper

Online since:

July 2014

Authors:

A.V. Proletarsky*, K.A. Neusipin, Kai Shen

Keywords:

Flight Vehicles, Intelligent Control, Pseudo-Intelligent Systems, Selection of Flight Trajectories, Self-Organization Algorithms

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Anoxin P K. The central and peripheral problems on physiology of nervous activities [M]. Novgorod, 1935. [in Russian].

Google Scholar

[2] Pupkov K A, Konikov V G. Intelligent systems. [M]. Moscow: Publishing House of BMSTU, 2001. [in Russian].

Google Scholar

[3] Neusipin K A, KE Fang. The new orientation of development in the field intelligent systems [C]. Proceedings of 2003 Chinese Intelligent automation conference, Hong Kong (China), 2003: 30-34.

Google Scholar

[4] Proletarsky A V, Neusipin K A, KE Fang. The intelligent control systems of flight vehicles [C]. The 9-th International Conference of Sciences and Engineering, Warsaw, Poland. Oct. 07-15, 2013: 37-38. [in Russian].

Google Scholar

[5] KE Fang, Neusipin K A. The research on modeling algorithm using self-organization method in aerocraft intelligent control system [J]. Journal of Projectiles Rocket Missiles and Guidance, 2010, №5: 39-42. [in Chinese].

Google Scholar

[6] Neusipin K A, Ke Fang. Research progress of intelligent control systems of aerocrafts[J]. Acta Armamentarii, Jul. 2010, vol. 31, №7: 939-949. [in Chinese].

Google Scholar

[7] Ivachnenko A G, Muller J I. Self-organizing estimation methods [M]. Kiev: Publishing House of Technology, 1985. [in Russian].

Google Scholar

[8] Neusipin K A, SHEN Kai, LIU Rong-zhong. Modification of nonlinear Kalman filter using self-organizing approaches and genetic algorithms [J]. International Journal of Information Engineering, Dec. 2013, Vol. 3, Iss. 4: 129-136.

Google Scholar