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引用次数: 13
摘要
本研究提出一种用于地震模拟器或振动台的模糊逻辑控制器(FLC)。这包括使用可编程逻辑控制器(PLC)作为主控制器和变频驱动器(VFD)作为电机的逆变驱动器。采用梯形逻辑图(LLD)、结构化文本(ST)和功能块图(FBD)相结合的方法对模糊程序进行编码。FLC由两(2)个输入(实际错误或Δ速度和实际错误率或Δ速度)中的36个规则构建而成,每个都有六(6)个成员函数:Neg_Large, Neg_Medium, Neg_Small, Pos_Small, Pos_Medium和Pos_Large。本研究还引入了迷你模糊关联矩阵(FAM),将计算规则的数量减少了75%。重心(Center of gravity, COG)是一种将模糊输出转化为清晰真实数据的去模糊化技术,其计算简单,结果快速。所提出的模糊控制器是基于驱动器的数据反馈值来达到期望的电机速度。该控制器能够在不同负载下考虑不同负载变化的影响。
Design and development of a fuzzy-PLC for an earthquake simulator/shake table
This study presents the development of a fuzzy logic controller (FLC) for an earthquake simulator or shake table. This includes the use of a Programmable Logic Controller (PLC) as the main controller and the Variable Frequency Drive (VFD) as the motor's inverter drive. Combination of ladder logic diagrams (LLD), structured texts (ST) and function block diagrams (FBD) were used to code the fuzzy program. The FLC was built with 36 rules from the two (2) inputs, Actual Error or Δ Speed and Actual Error Rate or Rate of Δ Speed, having six (6) membership functions each: Neg_Large, Neg_Medium, Neg_Small, Pos_Small, Pos_Medium and Pos_Large. Mini-fuzzy associative matrix (FAM) was also introduced in the study to reduce the number of computational rules by 75%. Center of gravity (COG) was the defuzzification technique used to convert the fuzzy outputs into crisp real data due to the simplicity of its computation in providing fast results. The proposed fuzzy controller was based from the data feedback value of the drive to attain the desired motor speed. The controller was able to consider the effect of different load variations in different loadings.