Enhanced Series Cascade Control Strategies for Unstable Processes

G. Raja, Ahmad Ali
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引用次数: 1

Abstract

Series cascade control structures with and without delay compensator are proposed for unstable processes with large and small dead time, respectively. The proposed series cascade control structure (SCCS) for process models with small dead time has three controllers: primary controller, secondary controller and stabilizing controller. Secondary controller is designed using internal model control approach whereas the primary controller is designed as a proportional-integral (PI) controller using the method of moments. The stabilizing controller is designed as a proportional-derivative (PD) in series with lead-lag filter using direct synthesis approach. For unstable process models with large time delay, a Smith predictor is included in the outer loop in addition to the above controllers. Furthermore, a first order lag filter is also included to enhance the robustness of the proposed Smith predictor based SCCS. Necessary guidelines are provided for the user to select suitable values of closed-loop time constants. Simulation studies indicate that the proposed strategies yield enhanced and robust closed-loop performance than the contemporary works.
不稳定过程的增强串级控制策略
针对死区时间较大的不稳定过程和死区时间较小的不稳定过程,分别提出了带延迟补偿器和不带延迟补偿器的串级控制结构。提出的小死区过程模型串级控制结构(SCCS)具有主控制器、次控制器和稳定控制器三个控制器。二级控制器采用内模控制方法设计,主控制器采用矩量法设计成比例积分(PI)控制器。采用直接综合的方法,将稳定控制器设计成比例导数(PD)串联超前滞后滤波器。对于具有大时滞的不稳定过程模型,除上述控制器外,外环中还加入了一个Smith预测器。此外,还包括一个一阶滞后滤波器,以提高所提出的基于Smith预测器的SCCS的鲁棒性。为用户选择合适的闭环时间常数值提供了必要的指导。仿真研究表明,所提出的策略比现有的方法具有更强的鲁棒性和更强的闭环性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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