Synthesis and optimization of green fuzzy controllers for the reactors of the specialized pyrolysis plants

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Abstract

This paper presents the developed by the authors generalized step-by-step method of synthesis and optimization of green fuzzy controllers (FC) for the automatic control systems (ACS) of the reactor’s temperature of the specialized pyrolysis plants (SPP). The proposed method gives the opportunity to synthesize and optimize Mamdani type green FCs of the temperature modes of the SPPs reactors that provide (a) high accuracy and quality indicators of temperature control, (b) low energy consumption in the process of functioning as well as (c) relatively simple software and hardware implementation. The initial synthesis of the structure and parameters of green FCs is implemented on the basis of expert assessments and recommendations. Their further optimization for improving the quality indicators, reducing energy consumption and simplification of soft/hardware realization is carried out using specific optimization procedures by means of mathematical programming methods. In order to study and validate the effectiveness of the developed method the design of the Mamdani type green FC for the temperature ACS of the pyrolysis reactor of the experimental SPP has been carried out in this work. The developed green FC has a relatively simple hardware and software implementation as well as allows to achieve high quality indicators of temperature modes control at a sufficiently low energy consumption, that confirms the high efficiency of the proposed method.

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Kozlov, O., Kondratenko, G., Gomolka, Z., & Kondratenko, Y. (2019). Synthesis and optimization of green fuzzy controllers for the reactors of the specialized pyrolysis plants. In Studies in Systems, Decision and Control (Vol. 171, pp. 373–396). Springer International Publishing. https://doi.org/10.1007/978-3-030-00253-4_16

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