Library For Design And Simulation Verification Of Self-Tuning Controllers

Bobál, Vladimír; Chalupa, Petr; Dostál, Petr

doi:10.7148/2008-0493

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…In this aspect it must be said that Chalupa [10] introduced the recommended values of parameter α in the interval (3<α<20); however, these values were not suitable in our case. It was necessary to use a far smaller value.…”

Section: Parameter α Adjusting Using Recursive Lsm Identificationmentioning

confidence: 84%

Influence of Online Identification Methods on the Nonlinear Process Control

Macků¹,

Novosad²

2017

DAAAM Proceedings

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Control of systems with strong nonlinearities is impossible or difficult by common linear systems methods. Sometimes the system linearization around the working point can be a solution, but it is not always applicable. Other, better possibility, is using online system identification during the whole process and based on it the controller parameters changing. In this case, the control is closely dependent on the process identification quality. In this paper, the quality of the control process using different identification methods and their settings is observed. A nonlinear process model based on the exothermic semi-batch reactor is used and the whole process is simulated using data of real process. Results are discussed.

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Section: Parameter α Adjusting Using Recursive Lsm Identificationmentioning

confidence: 84%

Influence of Online Identification Methods on the Nonlinear Process Control

Macků¹,

Novosad²

2017

DAAAM Proceedings

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“…The proposed digital Smith Predictor will be verified in real-time laboratory conditions for the control of the heat exchanger. Adaptive versions of digital Smith Predictors are designed in (Bobál et al 2011b). …”

Section: Resultsmentioning

confidence: 99%

Identification And Digital Control Of Higher-Order Processes Using Predictive Strategy

Bobál¹,

Kubalcik²,

Chalupa³

et al. 2012

ECMS 2012 Proceedings Edited By: K. G. Troitzsch, M. Moehring, U. Lotzmann

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In technical practice often occur higher order processes when a design of an optimal controller leads to complicated control algorithms. One of possibilities of control of such processes is their approximation by lower-order model with time-delay (dead time). The contribution is focused on a choice of a suitable experimental identification method and a suitable excitation input signals for an estimation of process model parameters with time-delay. The further contribution is design of an algorithm for digital control of high-order processes which are approximated by second-order model of the process with time-delay. The designed control algorithms are based on a predictive control strategy. The controller's algorithm uses the digital modification of the Smith Predictor (SP). The program system MATLAB/SIMULINK was used for simulation verification of these algorithms.

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“…Individual transfer functions in the block diagram (see Fig. 2) for the second order model are introduced in (Bobál et al 2011;Bobál et al 2014).…”

Section: Principle Of Digital Smith Predictormentioning

confidence: 99%

“…in (Vogel and Edgar 1980, Palmor and Halevi 1990, Normey-Rico and Camacho 1998. Some Self-tuning Controller (STC) modifications of the digital Smith Predictors (STCSP) are designed in (Hang et al 1989;Hang et al 1993;Bobál et al 2011). Two versions of the STCSP were implemented into MATLAB/SIMULINK Toolbox (Bobál et al 2012a;Bobál et al 2012b).…”

Section: Introductionmentioning

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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Library For Design And Simulation Verification Of Self-Tuning Controllers

Cited by 7 publications

References 8 publications

Influence of Online Identification Methods on the Nonlinear Process Control

Influence of Online Identification Methods on the Nonlinear Process Control

Identification And Digital Control Of Higher-Order Processes Using Predictive Strategy

LQ Control Of Heat Exchanger – Design And Simulation

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