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基于灰色预测的模糊PID闸门流量控制系统研究

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为解决闸门流量控制系统存在的大惯性、时变非线性和纯滞后性等问题,设计了基于灰色预测的模糊PID闸门流量控制系统.基于灰色预测的模糊PID控制算法结合了模糊PID算法和灰色预测算法的优点,将灰色预测算法作用于模糊PID控制系统的反馈通道上,预测出闸门控制系统的下一步输出,从而使闸门的流量控制实现超前调节.通过MATLAB软件仿真,其结果表明,相较于传统的PID控制算法和模糊PID控制算法,灰色预测模糊PID控制算法可以有效地克服时滞、参数时变等因素对系统的不利影响,对于闸门的流量控制有较好的控制效果.
Research on Fuzzy PID Gate Flow Control System Based on Grey Prediction
In order to solve the problems of large inertia,time-varying nonlinearity and pure hysteresis in the gate flow control system,a fuzzy PID gate flow control system based on grey prediction is designed.The grey prediction fuzzy PID control algorithm combines the advantages of fuzzy PID algorithm and grey prediction algorithm.The grey prediction algorithm is applied to the feedback channel of the fuzzy PID control system to predict the next output of the gate control system,so that the flow control of the gate can be adjusted in advance.Through MATLAB software simulation,the results show that compared with the traditional PID control algorithm and fuzzy PID control algorithm,the grey prediction fuzzy PID control algorithm can effectively overcome the adverse effects of time delay,parameter time-varying and other factors on the system,and has a better control effect on the flow control of the gate.

grey predictionfuzzy PIDflow controlanti-interference ability

雷斌生、王永顺

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兰州交通大学电子与信息工程学院,兰州 730070

灰色预测 模糊 PID 流量控制 抗干扰能力

2024

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数码设计

ISSN:1672-9129
年,卷(期):2024.(12)