2010
DOI: 10.2478/v10175-010-0071-x
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Genetic-fuzzy model of diesel engine working cycle

Abstract: Abstract. This paper concerns measurement and modeling of cylinder pressure in diesel engines. The aim of this paper is to build the empirical-analytical model of engine working cycle. The experiments on engine test bench were conducted. The new genetic-fuzzy system GFSm was proposed. By means of GFSm, the engine working cycle model was built. This model allows simulation of cylinder pressure for each allowable crankshaft speed, and loads and also for several biofuels. The model can be used to evaluate the qua… Show more

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Cited by 10 publications
(12 citation statements)
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“…The core section of a fuzzy logic system is the FIS part, which combines the facts obtained from the fuzzification with the rule base and conducts the fuzzy reasoning process. There are several FISs that have been employed in various applications, and the most commonly used include the following: Mamdani fuzzy model, Takagi-Sugeno-Kang (TSK) fuzzy model, Tsukamoto fuzzy model and Singleton fuzzy model [27]. The differences between these FISs lie in the consequents of their rules, and thus, aggregation and defuzzification procedures differ accordingly.…”
Section: Fuzzy Inference System (Fis)mentioning
confidence: 99%
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“…The core section of a fuzzy logic system is the FIS part, which combines the facts obtained from the fuzzification with the rule base and conducts the fuzzy reasoning process. There are several FISs that have been employed in various applications, and the most commonly used include the following: Mamdani fuzzy model, Takagi-Sugeno-Kang (TSK) fuzzy model, Tsukamoto fuzzy model and Singleton fuzzy model [27]. The differences between these FISs lie in the consequents of their rules, and thus, aggregation and defuzzification procedures differ accordingly.…”
Section: Fuzzy Inference System (Fis)mentioning
confidence: 99%
“…A graphical representation of the variable boundary between fuzzy sets is defined as Membership function. Triangular, trapezoidal, bell shaped membership functions are commonly used in engineering application among which trapezoidal membership functions is chosen for this research work [25][26][27][28]. The trapezoidal membership function can be represented as follows…”
Section: Fuzzificationmentioning
confidence: 99%
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“…The same problem was solved in [1]. Indefinite input parameters can also be processed, for example, by interval arithmetic or access fuzzy, [2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…It also increases the engine efficiency. Increasing the excess air results in a decrease in engine performance expressed by a decrease in the maximum indicated mean effective pressure and maximum torque and an increase in emissions of hydrocarbons in the exhaust [3]. Conventional spark-ignition engines work properly only in a narrow range of excess air.…”
Section: Introductionmentioning
confidence: 99%