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Determination of Dynamic Model Parameters Using Correlation Techniques for Smith Predictor

Journal Name:

  • Journal of Control Engineering and Technology

Publication Year:

  • 2013

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Abstract (Original Language): 
Smith predictor (SP) and modified Smith predictors are known as the most appropriate compensation techniques for the control of the processes with dead time. The stability and performance of the control scheme is directly linked to the coupling between the plant being controlled and its mathematical model. In case of uncertain or variable system parameters, SP fails to maintain the stability as well as the performance of the control. Accurate or close to accurate parameter estimation for these class of processes is very important for stability, control and optimization. There is a quite rich literature on the topic of dead time process control and parameter estimation, yet new approaches and methods are necessitated to improve the control scheme. In order to determine both the dead time and plant pole of the first order plus dead time plant for SP tuning, an on-line correlation algorithm is proposed to maintain the stability and performance of the control loop. Our approach utilizes a random Dither signal injected into the manipulated variable of the closed loop control system so that cross correlation between manipulated and controlled variable renders dead time and time constant of the plant. To illustrate the procedure, the processes with uncertain dead times and time constants are simulated using Matlab/Simulink pair and the results are presented.
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