APPLICATION OF HYBRID NETWORKS IN THE ADAPTIVE CONTROL SYSTEMS OF HEAT POWER OBJECTS

Authors

  • Vladislav Mihailenko Odessa State Academy of Refrigeration
  • Roman Harchenko Odessa National Marine Academy

Keywords:

parametric identification, harmonic oscillator, optimization, hybrid network, PI regulator

Abstract

Application of the fuzzy neural apparatus is proposed for finding optimal values of PI regulator parameters in the adaptive control systems of heat power objects. Efficiency of the proposed intelligent adaptive system is shown as compared with the traditional adaptive ACS.

Author Biographies

Vladislav Mihailenko, Odessa State Academy of Refrigeration

Cand. Sc. (Eng.), Assoc. Prof. of the Department of Information Systems and Networks

Roman Harchenko, Odessa National Marine Academy

Post-graduate student, Senior Lecturer of the Department of Marine Electronics

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Abstract views: 141

Published

2015-11-28

How to Cite

[1]
V. Mihailenko and R. Harchenko, “APPLICATION OF HYBRID NETWORKS IN THE ADAPTIVE CONTROL SYSTEMS OF HEAT POWER OBJECTS”, Works of VNTU, no. 1, Nov. 2015.

Issue

No. 1 (2012): 2012№1

Section

Automatics and Information Measuring Facilities

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