Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805

Designed and experimental researchof two-mass electromechanical system layout. Experimental on the twomass electromechanical system found that the use of multiobjective synthesis of anisotropic regulatorscan reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.

1. Nikitina T.B. Mnogokriterialnyiy sintez robastnogo upravleniya mnogomassovyimi sistemami [Multicriterion synthesis of robust control by multimass systems], (2013), Kharkiv National Automobile and Highway University Kharkiv, Ukraine, 432 p.(In Russian),

2. Liu G.P., Yang J.B., and Whidborne J.F., (2003), Multiobjective Optimization and Control, Research Studies Press Ltd, 320 p. (In English).

3. Diamond P., Vladimirov I.G., Kurdjukov A.P., and Semyonov A.V., (2001), Anisotropy – based Performance Analysis of Linear Discrete Time Invariant Control Systems, Int. J. Control, V. 74, pр. 28 – 42.(In English).

4. Kennedy J., Eberhart R.C., and Shi Y., (2001), Swarm Intelligence, San Francisco: Morgan Kaufmann Publishers.(In English).

  1. Clerc M., (2006), Particle Swarm Optimization, London: ISTE Ltd, 244 p. (In English).
  2. Gazi V., and Passino K.M. (2011), Swarm Stability and Optimization, Springer, 318 p. (In English).

7. Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, and Mehmet Karamanoglu, (2013), Swarm Intelligence and Bio-Inspired Computation: Theory and Applications, Elsevier Inc., 450 p. (In English).

8. Kurdukov A.P., Maximov E.A.,and Tchaikovsky M.M., (2006), Computing Anisotropic Optimal Controller for System with Parametric Uncertainty via Homotopy – based Algorithm, SicPro'06, Moscow, ICS, CD-ROM.

9. Kurdukov A.P., Maximov E.A., and Tchai-kovsky M.M., (2006), Homotopy Method for Solving Anisotropy-based Stochastic –optimization Problem with Uncertainty, Proc. 5th IFAC Symposium on R bust Control Design, Toulouse, France, CD-ROM. 

10. Zilzter Eckart, (1999), Evolutionary Algorithms for Multiobjective Optimizations: Methods and Applications, Ph.D. Thesis Swiss Federal Institute of Technology. Zurich (In English).

11. Fonseca C.M., and Fleming P.J., (1995), An overview of Evolutionary Algorithms in Multiobjective Optimization, Evolutionary Computation, Vol. 3, No. l, pp. 1 – 16. (In English).

12. Coello Coello C.A., (1999), A Comprehensive Survey of Evolutionary-based Multiobjective Optimization Techniques, Knowledge and Information Systems, Vol. 1, No. 3, pp. 269 – 308. (In English).

13. Coello Coello, Carlos A., Lechuga, and Maximino Salazar, (2002), MOPSO: a Proposal for Multiple Objective Particle Swarm Optimization, IEEE Congress on Evolutionary Computation.(In English).

14. Hu Xiaohui, and Eberhart Russell C., (2002), Multiobjective Optimization using Dynamic Neighborhood Particle Swarm Optimization, IEEE Congress on Evolutionary Computation.(In English).

15. Parsopoulos Konstantinos E., and Vrahatis, Michael N., (2002), Particle Swarms Optimization Method in Multiobjective Problems, Proceedings of the ACM Symposium on Applied Computing, pp. 603 – 607. (In English).

Last download:
30 Oct 2018

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014-2018. Any use of information from the site is possible only under the condition that the source link! ]