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运用最小二乘法 ,根据线性系统输出与输入的依存关系 ,结合相关原理 ,研究了辨识系统的纯滞后等参数 ,这种方法较利用阶跃输入的延迟响应长度求取纯滞后时间常数的方法精度高 ,抗干扰能力强。在此基础上采用单纯形法对PID参数进行基于时间乘绝对误差积分 (ITAE)指标的最优整定。仿真结果表明 ,该整定方法易于实现 ,且控制效果优于常规PID控制。将该方法应用于铍青铜真空热处理炉温度控制系统 ,解决了工业现场人工整定的繁琐和费时的困难 ,控制效果亦优于常规PID控制
Based on the dependence of the output of the linear system and the input and the correlation principle, the least square method is used to study the identification of the system such as the pure hysteresis and other parameters. This method compares the accuracy of the method using the delay response length of the step input to obtain the pure lag time constant High, anti-interference ability. On this basis, using the simplex method to PID parameters based on time by absolute error integral (ITAE) indicators of the optimal setting. The simulation results show that the tuning method is easy to implement and the control effect is better than the conventional PID control. The method is applied to the temperature control system of the beryllium copper vacuum heat treatment furnace, which solves the cumbersome and time-consuming difficulties of manual setting in the industrial field, and has better control effects than the conventional PID control