Multidimensional Multi-Connected Fuzzy Interval-Logic Controller

Author:

Antipin A. F.1,Antipina E. V.2

Affiliation:

1. Sterlitamak branch of Ufa University of Science and Technology

2. Ufa University of Science and Technology

Abstract

The key features and the principle of operation of a multidimensional fuzzy interval-logic controller with interconnected adjustable parameters developed by the authors are considered. The scheme of interpretation of continuous physical quantities by an equivalent set of terms and the basic version of the block diagram of the regulator are presented. The main elements of the logical output block are described, including the block of production rules, which includes a predefined database of values of control actions on control objects in the form of ordinal numbers of terms of output continuous quantities. The advantages and features of setting up the mutual connections between the input and output continuous values of the regulator are considered, which is expressed in determining the functional dependencies between them. The set of parameters possessed by the terms of input continuous quantities in relation to specific output continuous quantities of the regulator is described. The methods of defuzzification of the values of output continuous quantities within the boundaries of their terms are shown. The possibility of combining input and output continuous quantities into groups when setting up mutual connections between them is described. The mechanism of determining groups of interrelated continuous quantities is illustrated, the total number of which is determined by forming a matrix of relationships, according to the author’s scheme. The algorithm of sequential processing of the contents of the cells of the matrix of relationships, consisting of three steps, is considered. Expressions are given for calculating the basic parameters of a multidimensional fuzzy interval-logic controller with interrelated adjustable parameters. The results of a computational experiment to reduce the system of production rules of the regulator in determining the relationships between input and output continuous quantities are presented.

Publisher

New Technologies Publishing House

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Reference17 articles.

1. Sugeno M. On Stability of Fuzzy Systems Expressed by Fuzzy Rules with Singleton Consequents, IEEE Transactions on Fuzzy Systems, 1999, vol. 7, pp. 201—224.

2. Kruglov V. V., Dli M. I. Intelligent information systems: computer support for fuzzy logic and fuzzy inference systems, Moscow, Fizmatlit Publ., 2002, 256 p. (in Russian).

3. Uskov A. A. Systems with fuzzy models of control objects, Smolensk: Smolenskij filial ANO VPO CS "Rossijskij universitet kooperacii", 2013, 153 p. (in Russian).

4. Uskov A. A., Lavrushin V. M. Control systems with fuzzy supervisory PID controllers, Informacionnye tekhnologii modelirovaniya i upravleniya, 2015, vol. 93, no. 3, pp. 279—285 (in Russian).

5. Vasil’ev V. I., Il’yasov B. G. Intelligent control systems. Theory and practice, Moscow, Radiotekhnika, 2009, 388 p. (in Russian).

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