基于模糊逻辑的工业用温度控制器的硬件设计

F.M. Yasin, A. Tio, M.S. Islam, M. Reaz, M. Sulaiman
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引用次数: 8

摘要

在本文中,我们提出了一种基于模糊逻辑的温度控制器的实现,用于Altera FLEX10K FPGA器件的工业应用,允许高效的硬件实现。该系统由模糊化、推理、蕴涵和去模糊化四个主要模块组成。模糊模型选择的组合方法为最大最小组合法,选取Mamdani最小算子作为隐含方法。每个模块使用行为VHDL单独建模,并使用结构VHDL组合。采用Aldec有源HDL对模型的验证、功能和性能进行时序分析,采用Synplify进行逻辑综合。仿真结果表明,该模型是成功的。推断的最大工作频率为5 MHz,关键路径为199.3 ns。
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The hardware design of temperature controller based on fuzzy logic for industrial application employing FPGA
In this paper, we present the realization of a fuzzy logic-based temperature controller intended for industrial application on Altera FLEX10K FPGA device that allows for efficient hardware implementation. The system is built of four major modules called fuzzification, inference, implication and defuzzification. The composition method selected for the fuzzy model is the max-min composition while the Mamdani min operator was chosen as the implication method. Each module is modeled individually using behavioral VHDL and combined using structural VHDL. The timing analysis for the validation, functionality and performance of the model is performed using Aldec active HDL, and the logic synthesis was performed using Synplify. Simulation results show that the model has been tested successfully. The inferred maximum operating frequency is 5 MHz with a critical path of 199.3 ns.
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