Process controllability for flow control system using Ziegler-Nichols (ZN), Cohen-Coon (CC) and Chien-Hrones-Reswick (CHR) tuning methods

Hambali, Najidah; Masngut, Afandi; Ishak, Abdul Aziz; Janin, Zuriati

doi:10.1109/icsima.2014.7047432

Cited by 34 publications

(4 citation statements)

References 9 publications

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“…The key design condition is elimination of load turbulence. The controller parameter configuration is presented in (Cohen, 1953), while some application examples can be seen in Hambali et al (2014); Azman et al (2017). Regardless of a superior model, results of Cohen and Coon technique are not much superior than Ziegler Nichols approach.…”

Section: Classical Methods Of Pid Parameters Tuningmentioning

confidence: 99%

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

Bassi

Dada

Abidemi

et al. 2022

Heliyon

200

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Section: Classical Methods Of Pid Parameters Tuningmentioning

confidence: 99%

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

Bassi

Dada

Abidemi

et al. 2022

Heliyon

200

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“…For the design of the PID controller of the feeder-conveyor system, the following tuning methods are considered: Ziegler-Nichols (ZN), Cohen-Coon (CC) and Chien, Hrones, and Reswick (CHR) [23]. According to [24], these tuning methods are commonly employed in systems with dead time.…”

Section: Pid Controlmentioning

confidence: 99%

Delay Compensation in a Feeder–Conveyor System Using the Smith Predictor: A Case Study in an Iron Ore Processing Plant

Moraes,

da Silva,

Euzébio

2024

Sensors

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Conveyor belts serve as the primary mode of ore transportation in mineral processing plants. Feeders, comprised of shorter conveyors, regulate the material flow from silos to longer conveyor belts by adjusting their velocity. This velocity manipulation is facilitated by automatic controllers that gauge the material weight on the conveyor using scales. However, due to positioning constraints of these scales, a notable delay ensues between measurement and the adjustment of the feeder speed. This dead time poses a significant challenge in control design, aiming to prevent oscillations in material levels on the conveyor belt. This paper contributes in two key areas: firstly, through a simulation-based comparison of various control techniques addressing this issue across diverse scenarios; secondly, by implementing the Smith predictor solution in an operational plant and contrasting its performance with that of a single PID controller. Evaluation spans both the transient flow rate during step change setpoints and a month-long assessment. The experimental results reveal a notable increase in production by 355 t/h and a substantial reduction in flow rate oscillations on the conveyor belt, evidenced by a 55% decrease in the standard deviation.

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“…Most common proportional integral (PI) and PI derivative (PID) tuning techniques such as Ziegler-Nichols, Cohen-Coon or Chien-Hrones-Reswick [34][35][36] rely on the knowledge of a finite dead time to compute the PI or PID gains, and thus cannot be applied for resistive heating. In the present case, the lambda tuning method [37] is used, which is a form of the internal controller method for a PI controller.…”

Section: Temperature Control Of Resistive Heatingmentioning

confidence: 99%

Experimental characterization of the thermo-electro-mechanical properties of a shape memory composite during electric activation

Sánchez

Houbben

Fagnard

et al. 2022

Smart Mater. Struct.

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This works investigates in detail the electro-thermo-mechanical properties of a Shape Memory Composite (SMC) during shape memory cycles in which the heating is a result of resistive heating. The SMC is a covalently cross-linked poly(ε-caprolactone) network filled with 3 wt% of multiwall carbon nanotubes. The characterization is performed with the help of a custom-made tensile test bench that is able to couple the mechanical characterization with the thermal and electrical ones. A PI (Proportional Integral) controller using the lambda tuning method is used in order to control the temperature achieved by resistive heating of the SMC. The electrical resistivity of the SMC shows a non-linear and non-monotonic dependence on temperature and strain. The resistivity is also found to vary among successive shape memory cycles, suggesting that a (first) training cycle is necessary not only to stabilize the mechanical but also the electrical properties of the SMC. A fuzzy logic controller for constant load control is also used to investigate the strain variation with temperature related to the two-way shape memory effect of the SMC. The results give evidence of the strong interplay between the electrical and (thermo-)mechanical characteristics of electroactive SMCs.

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Process controllability for flow control system using Ziegler-Nichols (ZN), Cohen-Coon (CC) and Chien-Hrones-Reswick (CHR) tuning methods

Cited by 34 publications

References 9 publications

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

Delay Compensation in a Feeder–Conveyor System Using the Smith Predictor: A Case Study in an Iron Ore Processing Plant

Experimental characterization of the thermo-electro-mechanical properties of a shape memory composite during electric activation

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