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Fuzzy logic vs traditional approaches to the design of microcontroller-based systems

机译:模糊逻辑对基于微控制器设计的传统方法

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The use of fuzzy logic for closed loop control is compared to the more traditional approaches of zero-pole placement in the z-plane and the choice of PID (proportional, integral, differential) parameters. A common type of positioning system is used as an example to illustrate these different approaches and to allow practical comparisons. Results of a simulation study of the model system, using specific implementations of the three control techniques, show that fuzzy logic can be used to achieve a degree of compensation that is nearly as good as that achieved by more conventional techniques. The fuzzy logic approach requires more code, hence, more power on the part of the microcontroller, but it does not require that the designer have a knowledge of feedback control theory. Because fuzzy logic is a straightforward approach, based upon practical knowledge of the system to be controlled, its use has some advantages over the other approaches if an analytic model of the system is difficult to construct. Certain demands are placed upon the microcontroller in all three cases, and these are discussed here in some detail. Two popular microcontrollers, the MC68HC16 and MC68332, are examined to explore their individually unique features that make them particularly suitable for one or the other of the control schemes studied.
机译:将模糊逻辑用于闭环控制进行比较,与Z平面中的零极放置的更传统的方法以及PID(比例,积分,差分)参数的选择。使用普通类型的定位系统作为示例以说明这些不同的方法并允许实际比较。模型系统的模拟研究结果,使用三种控制技术的特定实现,表明模糊逻辑可用于实现几乎与更多传统技术实现的那样好的补偿程度。模糊逻辑方法需要更多的代码,因此,微控制器部分的更多电量,但它不要求设计人员具有反馈控制理论的知识。由于模糊逻辑是一种直接的方法,基于对要控制的系统的实际知识,如果系统的分析模型难以构建,其使用与其他方法相比,其使用与其他方法相比。在所有三种情况下,在微控制器上放置某些需求,这些需求在这里详细讨论。检查两个流行的微控制器,MC68HC16和MC68332,以探讨其独特的独特功能,使其特别适用于所研究的控制方案的一个或另一个。

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