Model and method of conditional formula determination of oxygen-containing hydrocarbon fuel in combustion

Brunetkin, Olexander; Dobrynin, Yevhenii; Maksymenko, Andrii; Maksymova, Oksana; Alyokhina, Svitlana

doi:10.6001/energetika.v66i1.4298

Cited by 1 publication

(5 citation statements)

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“…The diagram in Fig. 3 shows the computational blocks denoting the computation of mutations of membership functions, an isoenthalpic device [9,10], a fuzzy control ler, a multiplier, an adder, a block for computing tasks for a fuzzy controller. Arrows between computing units indicate the direction and type of data flow between logical parts of the software and hardware complex.…”

Section: Research Resultsmentioning

confidence: 99%

“…Synthesis gas G1H from the reactor is the outlet of the system. Part of the gas is fed to the inlet of the reactor, and the other part is fed to the isoenthalpic device [9,10]. The isoenthalpic device calculates the conditional gross formula and outputs the calculated composition in the form of a tuple x, y, z, where x, y, z are the corresponding coefficients of the conditional formula (2).…”

Section: Research Resultsmentioning

confidence: 99%

“…The weak side of the developed control system is that it requires a source of information from an external relatively fuzzy controller. On the other hand, the device described in [9,10] requires a minimum, but still a certain amount of produced synthesis gas for its operation. Over a sufficiently long period of time, this will lead to noticeable losses in the amount of synthesis gas produced.…”

Section: Swot Analysis Of Research Resultsmentioning

confidence: 99%

“…The threat to the practical use of the develo ped control system is that its performance depends on a thirdparty factor. This factor is the accuracy of the method and the corresponding device described in [9,10]. Ensuring this accuracy can entail separate engineering challenges and requires additional practical research.…”

Section: Swot Analysis Of Research Resultsmentioning

confidence: 99%

“…On the contrary, in [9,10], a model and a method for deter mining the composition of biomass are presented, the pyrolysis process takes place in the form of a gross formula of the form:…”

Section: Research Of Existing Solutions To the Problemmentioning

confidence: 99%

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Development of control system for waste pyrolysis unit of agricultural complex with the application of fuzzy logic

Maksymenko

2021

TAPR

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The object of research is the control system for the pyrolysis reactor of agricultural waste (plant biomass). The subject of research is the stability and the value of the calorific value of synthesis gas formed by pyrolysis of plant biomass. The biggest problem of the technological object (the pyrolysis reactor of agricultural waste) is the high sensitivity of the heating value of synthesis gas to disturbances in the composition of plant biomass. This sensitivity is expressed as a square law of the amount of oxidant required to achieve a high calorific value. Another problem is the deviation of certain time constants of the control object, caused by changes in the chemical composition of the plant biomass. The built control system provides a high calorific value of the generated syngas by determining the composition of the waste, pyrolysis by determining the composition of the generated syngas in a separate isoenthalpic device, and stabilizes it. Information on the composition of raw materials allows to calculate the optimal parameters for the pyrolysis process, and, accordingly, update the controller's task. This information also makes it possible to compensate for changes in the time constants of the control object caused by changes in the chemical composition of raw materials, which made it possible to achieve a high robustness of the system. Compensation for these changes was carried out by training a regression polynomial. The training was carried out on test sets of time constant deviations. The resulting polynomials were used for convolution with membership functions of a fuzzy controller. Such a convolution made it possible to obtain the following membership functions that ensure compliance with the control quality parameters close to those obtained without deviations in the time constants. Simulation of the constructed control system showed a significantly reduced sensitivity of the calorific value to the composition of raw materials, and also revealed a low sensitivity of the control quality from the deviations of the time constants of the control object caused by disturbances in the chemical composition of the waste. The method by which the control system for the pyrolysis reactor was built differs from the existing ones in that the use of information on the composition of the pyrolyzed substance is used to accurately calculate the optimal values of the pyrolysis parameters, as well as to mutate the membership functions of the fuzzy controller. The method can be used in other similar systems designed for the pyrolysis of organic substances in order to expand their scope. In particular, for the integration of such systems into technological objects, they are more sensitive to deviations in the calorific value of the gas used as fuel.

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Section: Research Resultsmentioning

confidence: 99%

Section: Research Resultsmentioning

confidence: 99%

Section: Swot Analysis Of Research Resultsmentioning

confidence: 99%

Section: Swot Analysis Of Research Resultsmentioning

confidence: 99%

“…On the contrary, in [9,10], a model and a method for deter mining the composition of biomass are presented, the pyrolysis process takes place in the form of a gross formula of the form:…”

Section: Research Of Existing Solutions To the Problemmentioning

confidence: 99%

See 3 more Smart Citations