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An object-oriented framework for adaptive fuzzy circuit control

机译:自适应模糊电路控制的面向对象框架

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A class library for process control is under development as a cooperative effort between the US Bureau of Mines and the University of Alabama. In this paper, some essential ingredients of such a library are described. In particular, an adaptive fuzzy controller class and a minerals beneficiation circuit class are presented. The fuzzy controller is a software object of type fuzzyController communicating with another software object of type controllableObject for the purpose of controlling the latter. A circuit is an interconnected set of software objects of types flow and process. The fuzzy controller model and the circuit model are unified by means of more specific derived classes which inherit properties as needed from the classes controllableObject and process. An example is presented in which a model of an operating minerals beneficiation circuit was constructed, tuned with a genetic algorithm, and brought under control by fuzzy controllers in two different ways: (a) by independently controlling the processes in the circuit, and (b) by directly controlling the entire circuit. The study indicated that controlling the entire circuit was somewhat more effective than independently controlling the processes in the circuit.
机译:在美国矿务局和阿拉巴马大学之间的合作下,正在开发用于过程控制的类库。在本文中,描述了此类库的一些基本要素。特别地,提出了自适应模糊控制器类和矿物选矿电路类。模糊控制器是FuzzyController类型的软件对象,它与另一个controllableObject类型的软件对象进行通信,以控制后者。电路是流程和过程类型的一组互连的软件对象。模糊控制器模型和电路模型是通过更具体的派生类来统一的,这些派生类根据需要从类controllableObject和process中继承属性。给出了一个示例,其中构造了一个运行中的矿物选矿电路模型,并通过遗传算法对其进行了调整,并由模糊控制器以两种不同方式对其进行控制:(a)通过独立控制电路中的过程,以及(b) )直接控制整个电路。研究表明,控制整个电路比独立控制电路中的过程更为有效。

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