A Modified Smith Predictor with a New Structure for Unstable Processes

Kwak, Hee Jin; Sung, Su Whan; Lee, In‐Beum; Park, Jin Yong

doi:10.1021/ie980515n

Cited by 58 publications

(70 citation statements)

References 13 publications

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“…It means that the second-order time constant (τ 2 ) is larger than the effective time delay θ i.e., τ 2 >θ. The PID controller setting for the SOPDT process is given as (18) The proposed PID controller setting for the SOPDT process becomes the series-form of the controller as (19) where τ D is the derivative time. In the simulation study, filter parameter N is typically around 100 and can be used to make the series-PID controller with derivative filter.…”

Section: Second-order Plus Dead Time Processmentioning

confidence: 99%

“…For this reason, some modified IMC methods of two-degreesof-freedom (2DOF) control were developed for controlling unstable processes with time delay, such as those proposed by Lee et al [12], Yang et al [13], Wang and Cai [14], Tan et al [15], Liu et al [16] and Jung et al [17]. In addition, 2DOF control methods based on the Smith-Predictor (SP) were proposed by Majhi and Atherton [18], Kwak et al [19], and Zhange et al [20] to achieve a smooth nominal setpoint response without overshoot for first-order unstable processes with time delay.…”

Section: Introductionmentioning

confidence: 99%

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A unified approach for proportional-integral-derivative controller design for time delay processes

Shamsuzzoha

2014

Korean J. Chem. Eng.

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An analytical design method for PI/PID controller tuning is proposed for several types of processes with time delay. A single tuning formula gives enhanced disturbance rejection performance. The design method is based on the IMC approach, which has a single tuning parameter to adjust the performance and robustness of the controller. A simple tuning formula gives consistently better performance as compared to several well-known methods at the same degree of robustness for stable and integrating process. The performance of the unstable process has been compared with other recently published methods which also show significant improvement in the proposed method. Furthermore, the robustness of the controller is investigated by inserting a perturbation uncertainty in all parameters simultaneously, again showing comparable results with other methods. An analysis has been performed for the uncertainty margin in the different process parameters for the robust controller design. It gives the guidelines of the M s setting for the PI controller design based on the process parameters uncertainty. For the selection of the closed-loop time constant, (τ c ), a guideline is provided over a broad range of θ/τ ratios on the basis of the peak of maximum uncertainty (M s ). A comparison of the IAE has been conducted for the wide range of θ/τ ratio for the first order time delay process. The proposed method shows minimum IAE in compared to SIMC, while Lee et al. shows poor disturbance rejection in the lag dominant process. In the simulation study, the controllers were tuned to have the same degree of robustness by measuring the M s , to obtain a reasonable comparison.

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Section: Second-order Plus Dead Time Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A unified approach for proportional-integral-derivative controller design for time delay processes

Shamsuzzoha

2014

Korean J. Chem. Eng.

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“…The limitation is that they usually cannot be used with non-minimum phase, unstable plants with integral behavior. The classical Smith predictor has been modified ( [29], [30], [31]) to deal with unstable plants. If all the controlled variables (i.e.…”

Section: Control Structure With Delay Compensationmentioning

confidence: 99%

Controlling the Double Rotary Inverted Pendulum with Multiple Feedback Delays

Casanova

Salt

Pizá

et al. 2012

INT J COMPUT COMMUN

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Abstract:The aim of this work is the development and implementation of a control structure for the double rotary inverted pendulum, suitable to be used in a Networked Control System environment. Delays are quite common in this kind of systems and, when controlling multivariable plants, it is possible that different delays are applied to the multiple inputs and outputs of them. A control structure that allows compensating individually each one of the multiple loop delays would be useful when one of these delays changes. Inverted pendulums are quite sensitive to delays and for this reason are appropriated plants to be used in these conditions. The control structure is developed modifying the control in no-delay conditions with a generalized predictor able to deal with unstable and non-minimum plants as the chosen one is. The proposed structure has been simulated and implemented to control a real double rotary inverted pendulum.

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“…A modified Smith predictor for the control of an unstable delayed process with one unstable pole has been detailed [222]. Other such compensation strategies for unstable SISO delayed processes are also proposed [120,150,[223][224][225].…”

Section: The Smith Predictormentioning

confidence: 99%

A reference guide to Smith predictor based methods for the compensation of dead-time processes

O’Dwyer¹

2005

IEE Irish Signals and Systems Conference 2005

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A Modified Smith Predictor with a New Structure for Unstable Processes

Cited by 58 publications

References 13 publications

A unified approach for proportional-integral-derivative controller design for time delay processes

A unified approach for proportional-integral-derivative controller design for time delay processes

Controlling the Double Rotary Inverted Pendulum with Multiple Feedback Delays

A reference guide to Smith predictor based methods for the compensation of dead-time processes

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