Efficiency Analysis of P-controller Neural Tuner and Adaptive Controller Based on Observer for DC Drive Speed Control Problem

  • Yuri I. Eremenko
  • Anton I. Glushchenko
  • Vladislav A. Petrov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 658)


A problem of a DC drive adaptive control under the condition of its mechanics parameters uncontrolled drift is considered in this research. Two ways of adaptive systems development are used: linear controller neural tuner and a P-controller, which output signal is corrected using an adaptive system on the basis of a state observer. Its parameters are refined with the help of equations, which stability are provided with Lyapunov second method application. The task is to compare these two methods using a two-high rolling mill DC drive model, which inertia moment is changed smoothly. In order to do so, several experiments have been conducted with the same inertia moment change pace, but different initial P-controller parameter value. Having analyzed obtained results, it is concluded that the neural tuner, unlike the state observer, is able to keep the required transients quality (overshoot, in particular) irrespective to the plant inertia moment drift and initial conditions.


DC drive Adaptive Control Neural Tuner Speed P-controller Observer 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.A.A. Ugarov Stary Oskol technological institute (branch) NUST “MISIS”Stary OskolRussia

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