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Comparison between nonlinear model-based controllers and gain-scheduling Internal Model Control based on identified model

机译:基于非线性模型的控制器与基于识别模型的增益调度内模控制的比较

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Instability and inverse response behaviour make anti-slug control at offshore oil-fields an interesting control problem where a robust solution considering the nonlinearity of the system is required. We tested three control solutions by experiments in this paper. First, we used state-feedback with state estimation by a nonlinear high-gain observer. Secondly, we applied feedback linearization with measured outputs. Finally, we designed gain-scheduling IMC (Internal Model Control) based on linear models identified from closed-loop step test. We compared these three solutions in terms of robustness and their range of operation. The high-gain observer was only applicable by using the top-side pressure measurement in a limited range; it was not stable when using the the subsea pressure measurement in closed loop. The IMC method was more robust against time-delay in the subsea pressure measurement compared to the feedback linearizing controller.
机译:不稳定和逆响应行为使近海油田的防塞控制成为一个有趣的控制问题,其中需要一种考虑系统非线性的鲁棒解决方案。我们通过实验测试了三种控制解决方案。首先,我们使用状态反馈和非线性高增益观测器进行状态估计。其次,我们对测量的输出应用了反馈线性化。最后,我们基于从闭环阶跃测试中识别出的线性模型设计了增益调度IMC(内部模型控制)。我们比较了这三种解决方案的健壮性及其操作范围。高增益观测器仅适用于在有限范围内使用顶部压力测量;当在闭环中使用海底压力测量时,它是不稳定的。与反馈线性化控制器相比,IMC方法在海底压力测量中对时间延迟的鲁棒性更高。

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