化学反应釜温度控制系统具有时变性、非线性、滞后性等特点,数学模型和参数难以精确得到,严重影响了温度控制的快速性和鲁棒性。为解决这些问题,设计了一种智能模糊自适应PID(Intelligent Fuzzy Adaptive PID,IFA-PID)控制算法,当误差较大时采用模糊控制,误差较小时采用微分独立模糊自适应PID(Fuzzy Adaptive PID,FA-PID)控制,通过切换函数实现两种控制方式的平滑切换,实现了2种控制方法的有机结合和优势互补。利用MATLAB的Simulink仿真工具箱建立模型,并做了传统PID、FA-PID以及IFA-PID在模型匹配及失配情况下的仿真对比实验。仿真结果表明,IFA-PID在超调量、调节时间等性能指标上都优于其他两种控制算法,具有更好的适应性和稳定性,能提高系统的品质特性和控制精度。该算法能够有效地克服模型失配和系统参数变化等情况,特别适合时变滞后非线性系统的控制。 Chemical reaction tank temperature control system has the characteristics of time-varying, non-linear and hysteresis. The mathematical model and parameters are difficult to obtain accurately, which has seriously affected the rapidity and robustness of temperature control. In order to solve these problems, an intelligent fuzzy adaptive PID (IFA-PID) control algorithm is designed. When the error is large, fuzzy control is adopted. When the error is small, Fuzzy Adaptive PID , FA-PID) control, through the switching function to achieve smooth switching between the two control methods, to achieve the two kinds of control methods of organic combination and complementary advantages. Using MATLAB Simulink simulation toolbox to build the model, and the traditional PID, FA-PID and IFA-PID in the case of model matching and mismatch simulation experiments. The simulation results show that the IFA-PID is better than the other two control algorithms in terms of overshoot, adjustment time and other performance indicators, and has better adaptability and stability, and can improve system quality and control accuracy. The algorithm can effectively overcome the mismatch of the model and the change of system parameters, and is especially suitable for the control of time-varying lag nonlinear systems.