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PID auto-tuning using new model reduction method and explicit PID tuning rule for a fractional order plus time delay model

机译:使用新的模型归约方法和明确的PID调整规则的PID自动调整用于分数阶加时滞模型

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摘要

In this paper, a new model reduction method and an explicit PID tuning rule for the purpose of PID auto-tuning on the basis of a fractional order plus time delay model are proposed. The model reduction method directly fits the fractional order plus time delay model to frequency response data by solving a simple single-variable optimization problem. In addition, the optimal tuning parameters of the PID controller are obtained by solving the Integral of the Time weighted Absolute Error (ITAE) minimization problem and then, the proposed PID tuning rule in the form of an explicit formula is developed by fitting the parameters of the formula to the obtained optimal tuning parameters. The proposed tuning method provides almost the same performance as the optimal tuning parameters. Simulation study confirms that the auto-tuning strategy based on the proposed model reduction method and the PID tuning rule can successfully incorporate various types of process dynamics.
机译:提出了一种基于分数阶加时滞模型的PID自整定的模型简化方法和明确的PID整定规则。模型简化方法通过解决简单的单变量优化问题,将分数阶加时延模型直接拟合到频率响应数据。此外,通过解决时间加权绝对误差(ITAE)最小化问题的积分,获得PID控制器的最佳调节参数,然后,通过拟合参数来开发以明确公式形式提出的PID调节规则。获得的最佳调整参数的公式。所提出的调整方法提供的性能几乎与最佳调整参数相同。仿真研究证实,基于所提出的模型简化方法和PID调整规则的自动调整策略可以成功地整合各种类型的过程动力学。

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