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A simple approach for designing a PID controller for an experimental air blower system

机译:设计用于实验鼓风机系统的PID控制器的简单方法

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This paper focuses on the identification and control of an air blower system PT-326. Modelling of the PT-326 system is required before designing the controller. Hence, it is estimated by using system identification toolbox available in MATLAB. The process of identification began with the collection of input and output data from an experiment. The collected data is used for model estimation based on the selection of auto-regressive with exogenous (ARX) model structure of the PT-326 system. Based on the input and output data of the system, best fit criterion and correlation analysis of the residual are analysed to determine the adequate parameters of ARX model representing the PT-326 system. To achieve a good performance for the air blower system, right selection of the PID controller parameters is essential. This paper also presents a simple approach for designing a PID controller using minimum square error tuning scheme and compares it with a conventional Ziegler-tuning method for the identified model via simulation and experiment. The results obtained from both tuning methods show that the outputs of the system with the PID controller in simulation and experiment are almost similar.
机译:本文着重于风机系统PT-326的识别和控制。在设计控制器之前,需要对PT-326系统进行建模。因此,可以通过使用MATLAB中可用的系统识别工具箱进行估算。识别过程始于从实验中收集输入和输出数据。基于对PT-326系统的外生自回归(ARX)模型结构的选择,收集的数据用于模型估计。根据系统的输入和输出数据,分析残差的最佳拟合准则和相关性分析,以确定代表PT-326系统的ARX模型的适当参数。为了使鼓风机系统获得良好的性能,正确选择PID控制器参数至关重要。本文还提出了一种使用最小平方误差调整方案设计PID控制器的简单方法,并通过仿真和实验将其与用于识别模型的常规Ziegler调整方法进行了比较。从这两种调整方法获得的结果表明,在仿真和实验中带有PID控制器的系统的输出几乎相似。

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