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Proposta de procedimento para projeto de controladores fuzzy multivariáveis

机译:设计多变量模糊控制器的建议程序

摘要

Control’s practical problems usually appear with lots of variables to be controlled simultaneously. Its biggest problem is that frequently the variables depend on each other, making necessary a deep study about multivariable control systems. Analyze capability and potential of different control strategies is extremely important to get the most appropriate control mode to the system. In this context, this work approaches systematic procedures to project an effective fuzzy controller focused in multivariable systems. It consists in splitting the controller design in three steps, where it’s parameters are synchronized with multivariable fuzzy controllers. The first step considers a system with a single input and a single output. At second step, all the controllers are joined into a single one, with all the inputs and outputs include without accounting each loop influence’s. Last step happens including the influence of each loop on the whole system. This approach makes possible a better performance from the controller, since it’s possible to analyze the system behavior in each step. To prove this procedure efficiency, the method is applied to different cases of study, including practical and simulated cases. The outcome multivariable fuzzy controller is compared with others by using graphical analysis and calculated indexes of performance to validate the chosen procedure.
机译:控制系统的实际问题通常会出现很多要同时控制的变量。最大的问题是变量经常相互依赖,因此有必要对多变量控制系统进行深入研究。为了获得最合适的控制模式,分析不同控制策略的能力和潜力非常重要。在这种情况下,这项工作采用了系统的程序来设计出集中于多变量系统的有效模糊控制器。它包括将控制器设计分为三个步骤,其中参数与多变量模糊控制器同步。第一步考虑一个具有单个输入和单个输出的系统。第二步,将所有控制器合并为一个控制器,所有输入和输出都包含在内,而无需考虑每个回路的影响。最后一步发生了,包括每个循环对整个系统的影响。由于可以在每个步骤中分析系统行为,因此该方法可以提高控制器的性能。为了证明该程序的有效性,该方法被应用于不同的研究案例,包括实际案例和模拟案例。通过使用图形分析和计算的性能指标来验证所选过程,从而将结果多变量模糊控制器与其他控制器进行比较。

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