Adaptive Predictive Control of Time-Delay Systems

Bobál, Vladimír; Kubalcik, Marek; Dostál, Petr; Matějíček, Jakub

doi:10.1007/978-3-642-33227-2_9

Cited by 11 publications

(6 citation statements)

References 5 publications

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“…The controlled system dynamics are represented by a transfer function as a base for the future output estimation. The benefit lies in its principle that it uses only a small number of values in order to reconstruct the entire step function or any output shape with knowledge of the input signal [13][14][15][16].…”

Section: Predictive Control Principlementioning

confidence: 99%

Predictive Control Adapting to Fractional Values of Time Delay

Talas

Bobál

2018

Mathematical Problems in Engineering

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A combination of identification and control procedures is presented which is aimed at precise control of systems with any value of time delay. Suggested strategy allows the predictive controller to adapt its parameters to a value of the time delay identified during the control process. The system flexibility resides in the ability to work precisely even with time-delay values that are not integer multiples of the sampling period. Overall, the designed approach presents a more precise method to control systems with both static and variable cases of time delay.

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Section: Predictive Control Principlementioning

confidence: 99%

Predictive Control Adapting to Fractional Values of Time Delay

Talas

Bobál

2018

Mathematical Problems in Engineering

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“…The simulation comparison of the cascaded GPC and basic GPC control algorithm realized on a model of the heat exchanger is the main contribution of this paper. The adaptive GPC of a heat exchanger pilot plant is designed in (Bobál et al 2013a;Bobál et al 2013b;Zidane et al 2012). Disadvantages of MPC methods are quite complicated optimization calculations and in case of adaptive MPC recursive algorithms for the estimation of process model parameters.…”

Section: Laboratory Heat Equipmentmentioning

confidence: 99%

LQ Control Of Heat Exchanger – Design And Simulation

Bobál¹,

Dostál²,

Kubalcik³

et al. 2015

ECMS 2015 Proceedings Edited By: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

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Heat exchangers are devices whose primary responsibility is the transfer (exchange) of heat, typically from one fluid to another. However, they are not only used in heating applications, such as space heaters, but are also used in cooling applications, such as refrigerators and air conditioners. Heat exchange processes often contain time-delay. This paper deals with design of universal and robust digital control algorithms for control of great deal of processes with time-delay. These algorithms are realized by the digital Smith Predictor (SP) based on polynomial approachby minimization of the Linear Quadratic (LQ) criterion. For a minimization of the LQ criterion is used spectral factorization with application of the MATLAB polynomial Toolbox. The designed polynomial digital Smith Predictors were verified in simulation conditions. Simulation model for a verification of the designed control algorithms was realized using experimental measured data on the laboratory heat exchanger. The program system MATLAB/SIMULINK was used for simulation of the designed algorithms.

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“…What's more, the dynamics of this temperature loop is complex with large time delay, which poses challenges for traditional PID control [6][7][8][9][10][11][12]. The uncertainties in this process also add to the difficulty for PID control to achieve satisfactory performance [13,14].…”

Section: Introductionmentioning

confidence: 96%