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PID控制和基于模型的先进控制广泛应用于工业过程中,为了很好的设计PID控制器或基于模型的先进控制器,确保取得较好的控制效果,需要准确的获取被控过程的临界信息及模型参数。本文采用继电反馈方法,对可以近似为一阶惯性纯滞后环节的工业对象施加继电激励信号,根据对象的振荡输出曲线,进行模型参数和临界信息的辨识。依据数学推理和大量仿真实验观察,本文改进了模型参数的辨识公式。仿真数据表明,相比理想继电反馈,饱和继电反馈对临界信息的辨识精度更高;在临界信息精确的情况下,依据改进的模型参数辨识公式,饱和继电反馈能够很好的辨识出被控对象的模型参数,从而为PID控制器或基于模型的先进控制器的设计提供了一个定量的参考依据。
PID control and model-based advanced control are widely used in industrial processes. In order to design PID controller or advanced model-based controller to ensure good control effect, accurate critical information of controlled process and Model parameters. In this paper, a relay feedback signal is applied to the industrial object that can be approximated as a first-order inertial pure hysteresis, and the model parameters and critical information are identified according to the oscillation output curve of the object. Based on mathematical reasoning and a large number of simulation experiments, this paper improves the identification formula of the model parameters. The simulation results show that the accuracy of the critical feedback information is much higher than that of the ideal relay. Compared with the ideal relay feedback, the saturated relay feedback can recognize the critical information accurately with the accurate critical information, The model parameters of the controlled object provide a quantitative reference for the design of a PID controller or a model-based advanced controller.