Abstract

The toolkit of soft computing is based on fuzzy systems, fuzzy neural network models, genetic algorithms, etc., with their strengths and weaknesses. This article analyzes the application of this toolkit to aviation gas-turbine engines (GTEs) used in aircraft and gas-turbine power plants. In the theory of automatic control their GTEs are nonlinear objects without any mathematical description but with one input and several outputs. In the course of running a GTE, it is necessary to continuously control its parameters, such as the combustion chamber temperature, the rotation frequency of the rotor of the fan’s free turbine, and the turbocharger rotor frequency. The GTE is supplied with fuel through a selective regulator that analyzes deviations in the parameters of all of the loops in an asynchronous and logically continuous manner. The multiagent or selector-free control of the GTE is based on designing a fuzzy state controller using linear functions of membership for all of the input parameters in a range from 0 to 1. The interparameter connections are established by fuzzy implication with the help of layers the number of which is equal to the number of terms in a specific term set. The fuzzy composition is made up graphically by the pointwise summation of ordinates of truncated figures according to Mamdani. Defuzzification is performed by the centroid technique, including an even partition along the X-axis of the resulting figure. The fuel consumption of the dispenser allows finding the fan rotation frequency, the turbocharger rotation frequency, and the temperature of the combustion products behind the combustion chamber within specified limits.

中文翻译：

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燃气轮机的选择性控制

摘要

软计算工具包基于模糊系统，模糊神经网络模型，遗传算法等，各有优缺点。本文分析了该工具包在飞机和燃气轮机电厂中使用的航空燃气轮机（GTE）的应用。在自动控制理论中，它们的GTE是非线性对象，没有任何数学描述，但是具有一个输入和多个输出。在运行GTE的过程中，有必要连续控制其参数，例如燃烧室温度，风扇的自由涡轮机转子的旋转频率以及涡轮增压器转子的频率。通过选择性调节器为GTE提供燃料，该调节器以异步且逻辑连续的方式分析所有回路的参数偏差。GTE的多代理程序或无选择器控制基于设计模糊状态控制器，该模糊状态控制器使用隶属函数的线性函数表示所有输入参数（范围为0到1）。通过层的模糊蕴涵来建立参数间连接其数量等于特定术语集中的术语数量。根据Mamdani，通过截断图形的纵坐标的逐点求和来图形化地构成模糊组成。通过质心技术执行去模糊化，包括沿 参数间的连接是在层数等于特定术语集中的术语数的层的帮助下，通过模糊蕴涵建立的。根据Mamdani，通过截断图形的纵坐标的逐点求和来图形化地构成模糊组成。通过质心技术执行去模糊化，包括沿 参数间的连接是在层数等于特定术语集中的术语数的层的帮助下，通过模糊蕴涵建立的。根据Mamdani，通过截断图形的纵坐标的逐点求和来图形化地构成模糊组成。通过质心技术执行去模糊化，包括沿结果图形的X轴。分配器的燃油消耗允许找到风扇旋转频率，涡轮增压器旋转频率以及燃烧室后面燃烧产物的温度在指定的限制范围内。