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Differentially flatness active disturbance rejection control approach via algebraic parameter identification to double tank problem

机译:通过代数参数辨识的差分平坦度主动干扰抑制控制方法

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The flatness-based active disturbance rejection control (ADRC) approach via online algebraic parameter identification is proposed to deal with the double tank problem. The control task is to maintain the lower tank level at a desired value by manipulating the inlet regulating valve. Firstly, the double tank problem is formulated based on the designed double tank platform, where the process input and output data are available in real-time in Matlab software installed in the upper monitor and the ABB AC800M in the lower computer. Then, the algebraic parameter identification algorithm is proposed to identify the unknown parameters of a typical second-order process, which was a flatness system with the lower tank level as the flat output. All the unmodelled dynamics, as well as the external disturbances are regarded as the total disturbance. Based on the identified model parameters of the process, an extended state observer is constructed to estimate the the flat output and its time derivative, as well as the total disturbance in real-time. A linear feedback control law is then designed to steer the lower tank level following the desired trajectory of the flat output, and thus the flatness-based ADRC approach is designed. The effectiveness of the proposed approach is validated by the simulation results based on the practical process input and output data in the platform.
机译:提出了通过在线代数参数辨识的基于平坦度的主动扰动抑制控制(ADRC)方法来解决双槽问题。控制任务是通过操纵进口调节阀将较低的油箱水位保持在所需值。首先,基于设计的双罐平台来制定双罐问题,该过程的输入和输出数据可通过安装在上部监控器中的Matlab软件以及位于下部计算机中的ABB AC800M实时获得。然后,提出了代数参数识别算法,以识别典型的二阶过程的未知参数,该过程是一个以较低水箱水位作为平坦输出的平坦系统。所有未建模的动力学以及外部干扰均被视为总干扰。基于确定的过程模型参数,构造了扩展状态观察器,以实时估算平坦输出及其时间导数以及总扰动。然后,设计了线性反馈控制律,以按照平坦输出的期望轨迹操纵较低的油箱液位,从而设计了基于平坦度的ADRC方法。仿真结果基于平台中实际过程的输入和输出数据,通过仿真结果验证了所提方法的有效性。

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