Modified Smith predictor with PID structure for control of multivariable processes

R. Panda, M. Tadé
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引用次数: 4

Abstract

Industrial processes with dead time, can be controlled using a model-based control strategy called 'Smith predictor' (SP) to compensate for the dead time part. Most of the control loops in process industries use PID loops. By introducing a tuning parameter (Ksp) in the control law, to switch between SP and proportional-integral-derivative (PID) modes, an SP with PID (SP-PID) is synthesised in this work to counteract the offset and to obtain a better performance during set-point change as well as load changes. Performance of SP-PID to control linear MIMO systems (square, stable, non-singular linear) are carried-out with decentralised scheme by studying set-point change and load disturbances separately. Present results have been compared with similar existing control strategies. Sensitivity and robustness issues of the present control scheme are also discussed.
基于PID结构的改进Smith预测器用于多变量过程控制
具有死区时间的工业过程可以使用基于模型的控制策略“史密斯预测器”(SP)来补偿死区时间部分。过程工业中的大多数控制回路都使用PID回路。通过在控制律中引入一个可调参数(Ksp),在SP和比例-积分-导数(PID)模式之间切换,本文合成了一个具有PID的SP (SP-PID)来抵消偏移,并在设定点变化和负载变化时获得更好的性能。通过分别研究设定点变化和负载扰动,采用分散化方法研究了SP-PID控制线性MIMO系统(方形、稳定、非奇异线性)的性能。目前的结果已与类似的现有控制策略进行了比较。讨论了该控制方案的灵敏度和鲁棒性问题。
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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