Observer-Based Smith Prediction Scheme for Unstable Plus Time Delay Processes

Del-Muro-Cuellar, Basilio; Velasco-Villa, M.; Jiménez-Ramírez, Omar; Fernández‐Anaya, Guillermo; Álvarez‐Ramírez, José

doi:10.1021/ie061203k

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Futhermore, there is two kinds of observability conditions: observability matrix and observability Gramian. In this work, the observability Gramian [49] has been considered to detect the aspect of given system.…”

Section: Observability Of Non Linear Fractional Modelmentioning

confidence: 99%

Kalman filter Observer for SoC prediction of Lithium cells

Ayadi¹,

Lahiani²,

Derbel³

2017

Adv. sci. technol. eng. syst. j.

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Section: Observability Of Non Linear Fractional Modelmentioning

confidence: 99%

Kalman filter Observer for SoC prediction of Lithium cells

Ayadi¹,

Lahiani²,

Derbel³

2017

Adv. sci. technol. eng. syst. j.

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“…Dead-time processes are found in many industrial applications. Dead times are mainly caused by the time required to transport mass, energy, or information, but they can also be caused by processing time or by the accumulation of time lags in a number of simple dynamic systems connected in series. − …”

Section: Introductionmentioning

confidence: 99%

Simple Tuning Rules for Dead-Time Compensation of Stable, Integrative, and Unstable First-Order Dead-Time Processes

Torrico

Cavalcante

Braga

et al. 2013

Ind. Eng. Chem. Res.

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This work proposes a new and simple design for the filtered Smith predictor (FSP), which belongs to a class of dead-time compensators (DTCs) and allows the handling of stable, unstable, and integrative processes. For this purpose, first, to use lower-order controller and filters, it is shown that it is not necessary to use the integral action in the primary controller, which is used to tune the set-point response; then, the FSP filters are designed to obtain the desired disturbance rejection, robustness, and noise attenuation. Using this procedure, it is possible to obtain a better compromise between performance and complexity than other solutions in the literature. Two simulation case studies are used to compare the obtained solution with some recently published results. A practical experiment involving a neonatal intensive care unit is also presented to illustrate the usefulness of the proposed DTC.

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“…K. K. Tan's method [13] is based on Generalized Predictive Control approach. Basilio del-Muro-Cuellar et al [14] used an observer-based predictor with partitions of dead time to stabilize an unstable plant.…”

Section: Introductionmentioning

confidence: 99%

Discrete modified Smith predictor based on optimal control method for a plant with an integrator

Ono

Shibasaki

Matsumoto

et al. 2010

2010 IEEE International Conference on Systems, Man and Cybernetics

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In this paper, a discrete modified Smith predictor based on optimal control design method is proposed. A plant with long dead-time is controlled by means of a predicted-state feedback technique and a modified Smith predictor composed of a plant predictor and an observer. In this method, states of a plant are obtained by an observer because the states are not measured directly in practice. The advantages of the proposed method are that a steady-state error caused by a disturbance can be eliminated and that an unstable plant can be made stable unlike conventional methods such as Smith predictor and Internal Model Control. It also achieves good robustness to modeling errors by adjusting weights of LQI-scheme. In simulation studies, it is shown that the proposed method is effective for these plants. Furthermore, by applying the proposed method to a pneumatic actuator, the effectiveness of the method is confirmed.

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Observer-Based Smith Prediction Scheme for Unstable Plus Time Delay Processes

Cited by 7 publications

References 15 publications

Kalman filter Observer for SoC prediction of Lithium cells

Kalman filter Observer for SoC prediction of Lithium cells

Simple Tuning Rules for Dead-Time Compensation of Stable, Integrative, and Unstable First-Order Dead-Time Processes

Discrete modified Smith predictor based on optimal control method for a plant with an integrator

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