2018
DOI: 10.5755/j01.eie.24.2.20629
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Synthesis of PI Controller with a Simple Set-Point Filter for Unstable First-Order Time Delay Processes and Integral plus Time Delay Plant

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Cited by 10 publications
(7 citation statements)
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“…where A and A d are the constant matrices assuming the dimensions 2x2, S k is the complex solution matrix (13) of the same dimensions, k is the ordinal number of the branch of the Lambert W function, [11]- [12], [15]- [16] and 00 01 ,. 00…”
Section: Fig 2 Conventional 1-dof Controller Control Systemmentioning
confidence: 99%
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“…where A and A d are the constant matrices assuming the dimensions 2x2, S k is the complex solution matrix (13) of the same dimensions, k is the ordinal number of the branch of the Lambert W function, [11]- [12], [15]- [16] and 00 01 ,. 00…”
Section: Fig 2 Conventional 1-dof Controller Control Systemmentioning
confidence: 99%
“…The gain parameters of the PD controller could be received, alongside the alreadymentioned way, based on the received gain of the PI controller for the IPTD processes [11]- [12]. In order to make an analogy between 1-DOF PD controller system for DIPTD processes and 1-DOF PI controller system for IPTD processes, let us assume that the control system shown in Fig.…”
Section: Fig 2 Conventional 1-dof Controller Control Systemmentioning
confidence: 99%
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“…The synthesis of the PI controller was performed by using a pole placement method with the features of the Lambert W function [14]. Using the analytical solution form in terms of the matrix Lambert W function (LWF) [15]- [19] and the limitations of the matrix-like Lambert W function provided in [20], the characteristic system equation for the desired rightmost poles of the closed-loop system was solved and the PI controller parameters were set. The proposed method of controlling the speed of the DC motor was developed for one degree of freedom (1-DOF) and two degrees of freedom (2-DOF) PI controller.…”
Section: Introductionmentioning
confidence: 99%
“…In the industry, system identification is used for obtaining models for the purpose of control, i.e. for regulation, synthesis, and realization of various controller type such as Model Predictive Controllers (MPC) [9], Linear Quadratic Regulators (LQR) [10], PID controllers [11], PI controllers [12], etc. For finding the model parameters, different methods may be used, which, as a result of the identification, due to the tendency of the mathematical model to satisfy all the dynamic characteristics of the observed process, can produce a high-order model.…”
Section: Introductionmentioning
confidence: 99%