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The Application Of Fuzzy Logic Control To Speed Control Of A DC Servo Motor System

机译:模糊逻辑控制在直流伺服电机系统速度控制中的应用

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Since the introduction of fuzzy logic control theory, it has been successfully applied to a wide variety of ill-defined industrial processes. However, most of the fuzzy control examples use an inference method proposed by Mamdani. Here, we will use an inference method proposed by Tsukamoto based on Lukasiewicz logic to develop the control law and apply it to speed control of a DC servo motor system. Therefore, the main purpose of this paper is to develop the stability, robustness, and other behavior of the fuzzy controller and compare with the classical PI controller. Mathematical model will be developed, and used in the computer simulation to aid the selection of control parameters. Also, the feasibility of the fuzzy controller will be validated by laboratory experiments.
机译:自从引入模糊逻辑控制理论以来,它已成功地应用于各种不确定的工业过程。但是,大多数模糊控制示例都使用了Mamdani提出的推理方法。在这里,我们将使用冢本提出的基于Lukasiewicz逻辑的推理方法来开发控制律,并将其应用于直流伺服电机系统的速度控制。因此,本文的主要目的是开发模糊控制器的稳定性,鲁棒性和其他性能,并与经典PI控制器进行比较。将开发数学模型,并将其用于计算机仿真中以帮助选择控制参数。同样,模糊控制器的可行性将通过实验室实验得到验证。

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