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Control of a two-stage mixed suspension mixed product removal crystallizer ?

机译：控制两级混合悬浮混合产物去除结晶器 αs≤X/ CE：SUP>

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In this work, we consider the problem of controlling a two-stage cooling mixed suspension mixed product removal (MSMPR) crystallizer. For this process, the temperature in the first crystallizer is manipulated for controlling the average crystal dimension (d43), while it is desired to maintain the temperature of the second crystallizer at the minimum allowed value to guarantee maximum yield. Due to system nonlinearities and process delays, the performance of traditional PID controllers are poor. A control scheme is proposed to improve the closed loop performance and achieve desired control objectives. The control scheme is based on the coupling of a PI controller and a model-based nonlinear prediction block that serves as delay and disturbance compensator. The proposed scheme has been tested on the system in case of disturbances in the feed concentration, with and without measurement errors. It is observed that the proposed scheme outperforms the PI controller by reducing the output response settling time and overshoot.
机译：在这项工作中，我们考虑控制两级冷却混合悬浮混合产品去除（MSMPR）结晶器的问题。对于该方法，操纵第一结晶器中的温度以控制平均晶体尺寸（D43），而希望在最小允许值下保持第二结晶器的温度以确保最大收率。由于系统非线性和过程延迟，传统PID控制器的性能很差。提出了一种控制方案来提高闭环性能并实现所需的控制目标。控制方案基于PI控制器和基于模型的非线性预测块的耦合，其用作延迟和干扰补偿器。在饲料浓度的干扰，有和没有测量误差的情况下，已经在系统上进行了测试。观察到，所提出的方案通过减少输出响应稳定时间和过冲来占PI控制器。

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