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Most industrial processes being MIMO have multivariable interactions, which makes controller design a challenging task. As one input can potentially affect all outputs, a controller action in one loop could destabilize other loops. In this paper we explore the possibility of designing a decentralized PI controller for a multivariable process using SISO tuning rules. The objective is to identify if...
Modern industrial plants consist of many processes occurring simultaneously which are to be monitored and controlled at all time, during plant operation. Typically, industrial plants are multi-input multi-output type and they also exhibit strong non-linear dynamics. Three tank liquid level control is such a laboratory based benchmark multi-variable control problem for modeling, identification, fault...
A number of tuning rules have been reported in literature for unstable first order plus time delay processes. However, at least to the author knowledge most of the reported methods fail to give robust performance for process models with time delay equal to or greater than the process time constant. In this work, a robust tuning method based on the modified Smith predictor is proposed for unstable...
Many PID tuning rules are available for unstable first order plus time delay process. However, most of them are complex. In this work, optimal H2 principles are used along with internal model control (IMC) to develop simple tuning rules for a PID controller. The tuning rules are developed for different time delay to time constant ratios. Maximum sensitivity (Ms) is used for the selection of the IMC...
Series cascade control structure (SCCS) is widely used in process industries as unity feedback configuration fails to reject the load disturbances before the controlled variable deviates from the setpoint. Several variants of the conventional SCCSs have been reported in the literature to obtain improved closed-loop performance as compared to the conventional structure. For processes with large time...
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