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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method.

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Title: Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method.
Authors: Ramaveerapathiran, Arun1 (AUTHOR), Muniraj, R.2 (AUTHOR), Jarin, T.3 (AUTHOR), Boselin Prabhu, S.R.4 (AUTHOR) eben4uever@gmail.com, Willjuice Iruthayarajan, M.5 (AUTHOR)
Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Dec2025, Vol. 66 Issue 4, p32-46. 15p.
Subjects: PID controllers, Evolutionary computation, Closed loop system stability, Time delay systems, Mathematical optimization, Robust statistics
Abstract: Additional time delay compensation in an established Proportional plus Integral plus Derivative (PID) Controller improves the performance of the closed loop for systems having time delay. From another point of view, the actual delay time processing creates a loop thatis decidedly sensitive to changes. The existence of number of Nyquist curve points of interaction, closed-loop and unit circle make the closed-loop to be highly sensitive. This high sensitivity reduces the robustness of the controlled system against loop variations in dead-time. The conventional robustness measures are inadequate to ensure the robustness against uncertainty in the process dead-time of the PID Dead-time compensating controlled system. Therefore, in this research work, an additional robustness constraint is introduced to tune a robust PID Dead-time compensating controller. Tuning is performed by resolving an optimization issue in addition to constraints on robustness using efficient Heterogeneous Comprehensive Learning Particle Swarm Optimization (HCLPSO) evolutionary computation algorithm. Using simulation, the robustness and functioning of the proposed tuning methodology are evaluated. An additional robustness constraint ensures the stable operation of the controlled system with respect to uncertainty with higher dead-time. Also, this offers satisfactory time domain servo-regulatory performance. [ABSTRACT FROM AUTHOR]
Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method.
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  Data: <searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+computation%22">Evolutionary computation</searchLink><br /><searchLink fieldCode="DE" term="%22Closed+loop+system+stability%22">Closed loop system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Time+delay+systems%22">Time delay systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+statistics%22">Robust statistics</searchLink>
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  Data: Additional time delay compensation in an established Proportional plus Integral plus Derivative (PID) Controller improves the performance of the closed loop for systems having time delay. From another point of view, the actual delay time processing creates a loop thatis decidedly sensitive to changes. The existence of number of Nyquist curve points of interaction, closed-loop and unit circle make the closed-loop to be highly sensitive. This high sensitivity reduces the robustness of the controlled system against loop variations in dead-time. The conventional robustness measures are inadequate to ensure the robustness against uncertainty in the process dead-time of the PID Dead-time compensating controlled system. Therefore, in this research work, an additional robustness constraint is introduced to tune a robust PID Dead-time compensating controller. Tuning is performed by resolving an optimization issue in addition to constraints on robustness using efficient Heterogeneous Comprehensive Learning Particle Swarm Optimization (HCLPSO) evolutionary computation algorithm. Using simulation, the robustness and functioning of the proposed tuning methodology are evaluated. An additional robustness constraint ensures the stable operation of the controlled system with respect to uncertainty with higher dead-time. Also, this offers satisfactory time domain servo-regulatory performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00051144.2025.2524193
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        Text: English
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        PageCount: 15
        StartPage: 32
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      – SubjectFull: PID controllers
        Type: general
      – SubjectFull: Evolutionary computation
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      – SubjectFull: Closed loop system stability
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      – SubjectFull: Time delay systems
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Robust statistics
        Type: general
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      – TitleFull: Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method.
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            NameFull: Ramaveerapathiran, Arun
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              M: 12
              Text: Dec2025
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