A Dead Time Compensator Based on Linear Algebra (DTCLA)

Camacho, Oscar; Scaglia, Gustavo; Quintero, Lucía

doi:10.1016/j.ifacol.2017.08.678

Cited by 5 publications

(8 citation statements)

References 20 publications

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“…Using the fourth-order linear system proposed by Camacho et al, where the transfer function is given by G normalp ( s ) = 1 ( s + 1 ) ( 0.5 s + 1 ) ( 0.25 + 1 ) ( 0.125 s + 1 ) normale − 9.7 s …”

Section: Resultsmentioning

confidence: 99%

“…s 5 (38) The system described in eq 38 can be approximated by an SOPDT model as (39) where ξ = 1.455, w n = 0.508, K = 1, and t 0 = 6.98 (from eq 37).…”

Section: Inverse Response With the Long-time-delaymentioning

confidence: 99%

“…An appropriate sampling time must be selected. For example, the T s for the discrete controller will be in terms of ω n and t 0 as: min ( 1 ω n , t 0 ) / 15 < T normals < min ( 1 ω n , t 0 ) / 4 . It is assumed that all of the state variables can be measured for each sampling period.…”

Section: Design Of the Hybrid Controllermentioning

confidence: 99%

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Hybrid Controller Based on Numerical Methods for Chemical Processes with a Long Time Delay

et al. 2023

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A hybrid control framework is proposed as an alternative for long time delays in chemical processes. The hybrid approach mixes the numerical methods in an internal mode control (IMC) structure, which uses the particle swarm optimization (PSO) algorithm to improve the adjustment of the controller parameters. Simulation tests are carried out on linear systems of high order and inverse response, both with dominant delay, and tests on a nonlinear process (chemical reactor). The performance of the proposed controller is stable and satisfactory despite nonlinearities in various operating conditions, set-point changes, process disturbances, and modeling errors. In addition, experimental tests were performed on a setup composed of two heaters and two temperature sensors mounted on an Arduino microcontroller-based board called the Temperature Control Laboratory (TCLab), with an additional software delay introduced. The merits and drawbacks of each scheme are analyzed using radar charts, comparing the control methods with different performance measures for set-point and disturbance changes. Furthermore, the new controller uses PSO to improve the tuning parameters.

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Section: Resultsmentioning

confidence: 99%

“…s 5 (38) The system described in eq 38 can be approximated by an SOPDT model as (39) where ξ = 1.455, w n = 0.508, K = 1, and t 0 = 6.98 (from eq 37).…”

Section: Inverse Response With the Long-time-delaymentioning

confidence: 99%

Section: Design Of the Hybrid Controllermentioning

confidence: 99%

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Hybrid Controller Based on Numerical Methods for Chemical Processes with a Long Time Delay

et al. 2023

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“…The effectiveness of conventional feedback controllers, such as the proportional-integral-derivative (PID) or dynamic matrix control (DMC), on such problems can be quite limited since their performances usually decline for processes with relatively large time delays compared to the dominant time constant. Sliding mode controllers and predictive structures, such as internal model control (IMC) and the Smith predictor, have been used to upgrade these control strategies. , However, it has been reported that most optimal controllers, when formulated as in the literature, lead to periodic offsets . Furthermore, these approaches require a process model, which is sometimes difficult to obtain, and are, therefore, sensitive to mismatches between the model and the actual plant.…”

Section: Introductionmentioning

confidence: 99%

“…First-order plus dead time (FOPDT) models are a powerful tool for process control since they allow the analysis of the system with relatively simple low-order linear models with dead time. , Their simplicity and ability to capture the essential dynamics of several industrial processes is their main advantage . One drawback of these reduced-order models is that they present uncertainties that lead to performance degradation of conventional controllers, such as PID or Smith Predictors …”

Section: Introductionmentioning

confidence: 99%

Design and Application of a Linear Algebra Based Controller from a Reduced-Order Model for Regulation and Tracking of Chemical Processes under Uncertainties

Sardella

Serrano

Camacho

et al. 2019

Ind. Eng. Chem. Res.

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This work presents a simple controller, tunable by three parameters, capable of following variable time references. It is a linear algebra based controller (LABC), developed from a first-order plus dead time model (FOPDT). Two processes were selected: a high-order linear process and a transesterification batch reactor from the biodiesel production process. Constant and variable time references were followed with very low tracking error. The methodology for the controller design under different conditions is described and results of simulations and experimental assays on a batch reactor are shown. Through comparison against PID and a numerical method based controller presented by other researchers, the accuracy of LABC is evidenced.

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Hybrid Controller based on Linear Algebra and Sliding Mode Control for Nonlinear Chemical Processes

Uribe

Camacho

2022

2022 IEEE Biennial Congress of Argentina (ARGENCON)

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A Dead Time Compensator Based on Linear Algebra (DTCLA)

Cited by 5 publications

References 20 publications

Hybrid Controller Based on Numerical Methods for Chemical Processes with a Long Time Delay

Hybrid Controller Based on Numerical Methods for Chemical Processes with a Long Time Delay

Design and Application of a Linear Algebra Based Controller from a Reduced-Order Model for Regulation and Tracking of Chemical Processes under Uncertainties

Hybrid Controller based on Linear Algebra and Sliding Mode Control for Nonlinear Chemical Processes

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