Tuning PI/PID controllers for integrating processes with deadtime and inverse response by simple calculations

Pai, Neng‐Sheng; Chang, Shun-Hsyung; Huang, Chi‐Tsung

doi:10.1016/j.jprocont.2010.04.003

Cited by 78 publications

(42 citation statements)

References 5 publications

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“…The proposed methods have been compared with the methods of Jeng and Lin [16], Pai et al [15] and Luyben [17] and the various simulation results are shown in Figs. 19-22 and Table 7.…”

Section: Examplementioning

confidence: 99%

“…The PID controller design methods for the integrating processes with inverse response and time-delay may be found in [14][15][16]. Gu et al [14] have presented a PI/PID controller design method based on the H 1 optimization and the IMC theory.…”

Section: Introductionmentioning

confidence: 99%

“…Gu et al [14] have presented a PI/PID controller design method based on the H 1 optimization and the IMC theory. Pai et al [15] have proposed a PI/PID controller design method using the direct synthesis method for disturbance rejection (DS-d) where speed of the closed-loop response has been optimized via the goldensection searching technique. Jeng and Lin [16] have designed a controller in Smith-type configuration which is then converted into a PID controller in the classical feedback configuration using the Maclaurin series.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A frequency response model matching method for PID controller design for processes with dead-time

Anwar

Pan

2015

ISA Transactions

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“…The proposed methods have been compared with the methods of Jeng and Lin [16], Pai et al [15] and Luyben [17] and the various simulation results are shown in Figs. 19-22 and Table 7.…”

Section: Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A frequency response model matching method for PID controller design for processes with dead-time

Anwar

Pan

2015

ISA Transactions

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“…The simplicity of the proportional integral derivative (PID) algorithm and assured satisfactory performance have made the PID controller, as the versatile and extensively used compensator in the process industries (Lee et al 2008;Pai et al 2010). PID can compensate the effects of processes with delay and no delay.…”

mentioning

confidence: 99%

“…PID can compensate the effects of processes with delay and no delay. A study has indicated that 97 % of the controllers in the industry use PID algorithm for regulator operation (Lee et al 2008;Pai et al 2010;Eris and Kurtulan 2011;Gopi Krishna Rao et al 2013;Desborough and Miller 2002). The IFAC Conference on Advances in PID Control held in Brescia (Italy) during 28-30 March 2012 concluded that there is no perfect alternative to the PID controller at least at the bottom layer in the process industries (Alcántara et al 2013;Shamsuzzoha 2014).…”

mentioning

confidence: 99%

Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity

Vuppu¹,

Venkata²,

Kodati

2015

J Control Autom Electr Syst

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The aim of this work was to obtain a design for the proportional integral derivative controller in series with a second-order lead/lag filter for pure integrating process with time delay based on internal model control principle to achieve efficient disturbance rejection and robustness. A setpoint filter is introduced to reduce the overshoot in the setpoint response. Further, the robustness of the controller is examined by incorporating perturbations in the time delay parameter for model mismatch. The proposed method demonstrated good disturbance rejection and robustness in comparison with recently developed methods with the controller tuned to have same robustness rank with the calculation of the peak of maximum sensitivity (M S ).

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Optimizing the series cascade control structure for nonminimum phase system regulation

Singhal,

Yadav,

Yadav

et al. 2024

Applied Research

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This work elucidates the control of integrating a non‐minimum phase system via a series cascade scheme with fractional‐order P.I. (Proportional–Integral) plus D (Derivative) controller. The traditional Internal Model Control (IMC) is adopted for inner loop controller design. The feedback D controller is synthesized with the outer loop process model, showing the proposed work's universality. The outer loop controller is suggested in the IMC framework after the accountability of fractional‐filter and inverse response compensator. This combination is revealed to enhance performance without compromising robustness. The Riemann sheet principle is explored to compute the stability of the suggested controller. The sensitivity analysis has asserted the robustness. More importantly, the optimal value of controller settings is achieved via the Teaching Learning Based Optimization (TLBO) algorithm. This TLBO algorithm uses an objective function that minimizes Integral Square Error (ISE). Two illustrative problems are utilized to examine the recommended control structure's virtue.This article is protected by copyright. All rights reserved.

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Tuning PI/PID controllers for integrating processes with deadtime and inverse response by simple calculations

Cited by 78 publications

References 5 publications

A frequency response model matching method for PID controller design for processes with dead-time

A frequency response model matching method for PID controller design for processes with dead-time

Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity

Optimizing the series cascade control structure for nonminimum phase system regulation

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