MATEC Web Conf.
Volume 226, 2018XIV International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2018)
|Number of page(s)||7|
|Section||4 Fundamental methods of system analysis, modeling and optimization of dynamic systems|
|Published online||07 November 2018|
Synthesis of intelligent fuzzy control in the space of bounded piecewise-continuous functions based on the combined maximum principle
1 Rostov State Transport University, Department of Communication on Railway Transport, Rostov-on-Don, Russian Federation
2 Don State Technical University, Department of Radio Engineering and Electronics, Rostov-on-Don, Russian Federation
3 Moscow State University of Technology and Management named after K.G. Razumovsky (the First Cossacs University), Department of Technology of Gain Processing, Bread, Macaroni and Confectionery Productions, Moscow, Russian Federation
* Corresponding author: firstname.lastname@example.org
It is shown that the solution of the problem of control synthesis using the Hamilton-Ostrogradskii principle leads to a variational inequality, from which the conditions for the maximum of the the generalized power function in the space of bounded piecewise continuous functions follow. It allows to find a feedback structure up to a synthesis function. Using the methods of the structure construction the nonlinear structures of the relay and continuous control laws are obtained. The proposed control method allows to avoid the mode with frequented switching. It consists of the following two stages. At the first stage, the control object is brought into the vicinity of the terminal state using the relay control law. In the second stage, the quasi-optimal continuous control is used. The uncertainty of the transition area size is resolved using fuzzy logic. The efficiency of the intelligent controls is demonstrated by the example of mathematical modeling of the system dynamics.
© The Authors, published by EDP Sciences, 2018
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