作者：张皓^1,2, 高瑜翔^1,2

作者单位：1. 成都信息工程大学通信工程学院，四川 成都 610225;
2. 气象信息与信号处理四川省高校重点实验室，四川 成都 610225

关键词：前馈控制;Smith预估;模糊PID

摘要：

针对单纯反馈与传统PID算法的温度控制系统存在调节时间较长、超调量大、参数调整繁琐、干扰影响严重、闭环稳定性差的问题。利用前馈控制原理，将干扰测量出来并通过前馈控制器，调节控制量大小，消除干扰影响。引入Smith预估补偿器，抵消特征方程中的滞后项$ {e}^{-\tau s} $，保证大滞后系统的闭环稳定性。结合模糊PID算法，实现参数自整定，降低超调量，减少调节时间。使用Matlab中的Simulink工具箱进行仿真验证后结果表明：前馈反馈Smith预估模糊PID组合控制算法不仅消除干扰的影响，还保证大滞后系统的闭环稳定性，使超调量$ \mathrm{\sigma } $降为0，调节时间t_s减少518.02 s、上升时间t_r减少90.43 s、延迟时间t_d减少9.6 s，使整个系统的响应速度更快，稳定性更强。

Temperature control algorithm combined the feedforward feedback with Smith predictor and fuzzy PID
ZHANG Hao^1,2, GAO Yuxiang^1,2
1. College of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, China;
2. Meteorological Information and Signal Processing Key Laboratory of Sichuan Education Institutes, Chengdu 610225, China
Abstract: Traditionally, the temperature control system uses a classic PID control algorithm which requires complicated parameter adjustment process and long adjustment time. It also holds the limitation of large overshoot, severe interference effects, and poor closed-loop stability. One approach to solving these problems is to utilize feedforward control and predictive compensator to compensate for the disturbance and eliminate control lagging. In this research work, the Smith predictive compensator was introduced to cancel the lag term in the characteristic equation to ensure the closed-loop stability of the large lag system. Meanwhile, combined with the fuzzy PID algorithm, it can not only realize parameter self-tuning but also reduce overshoot and adjustment time. The simulation results using Simulink toolbox in Matlab show that the feedforward feedback Smith predictive fuzzy PID combination control algorithm eliminates the influence of interference, and ensures the closed-loop stability of the large lag system, reducing the overshoot to 0, the adjustment time is reduced by 518.02 s, the rise time is reduced by 90.43 s, and the delay time is reduced by 9.6 s so that the response speed of the entire system is faster and the stability is stronger than before.
Keywords: feedforward control;Smith predictor;fuzzy PID
2020, 46(11):132-138,168  收稿日期: 2020-03-26;收到修改稿日期: 2020-04-24
基金项目:
作者简介: 张皓(1992-),男,四川雅安市人,硕士研究生,专业方向为先进控制与智能控制理论、嵌入式物联网技术
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