PID controller tuning for integrating processes

Ali, Ahmad; Majhi, Somanath

doi:10.1016/j.isatra.2009.09.001

Cited by 107 publications

(92 citation statements)

References 15 publications

(32 reference statements)

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“…Thus, the discrete time (DT) behavior of the actual plant will be represented by the DT transfer function P p (z) = G p (z)z −dp (3) where the time delay will be approximated by a multiple of the sampling period…”

Section: −Lsmentioning

confidence: 99%

“…The results are compared with two schemes conceived to improve the performance of integrating [3] and unstable time-delay systems [19]. For a fair comparison, the proposed controller is tuned to provide similar disturbance performance, then robustness is evaluated for each scheme.…”

Section: Illustrative Examplesmentioning

confidence: 99%

“…(1) An integrating process with dead-time [3], to show a detailed application of the design procedure.…”

Section: Illustrative Examplesmentioning

confidence: 99%

“…In this example, and in order to compare with the proposal in [3], the parameter λ is computed from (30) to obtain in both a similar IAE (see Table 1 Figure 7). Thence, the lters F 1 (z) and F 2 (z) are computed from (34) and (35) with d = 20, the predictor error lter being:…”

Section: Illustrative Examplesmentioning

confidence: 99%

“…In [3], the following parallel PID-controller is designed based on the delayed plant model: 9 and Figure 10 and Table 2. In both cases, the IAE is similar for both schemes but the TV is better in the proposed scheme.…”

Section: Illustrative Examplesmentioning

confidence: 99%

See 4 more Smart Citations

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Garcia

Albertos

2013

Journal of Process Control

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ElsevierGarcía Gil, PJ.; Albertos Pérez, P. (2013) In this work, a general structure to control long time-delay plants is proposed and an easy methodology to tune the control parameters is outlined. All the sensitivity transfer functions are delay free. The proposed scheme is equivalent to the Smith Predictor but able to cope with any kind of systems, including non-minimum phase, unstable and integrating plants. The controllers are designed based on the delay free model. Contrary to other approaches, other than for the digital implementation, no delay approximation is used. A tuning parameter is provided in order to reach an intuitive tradeo between performance and robust stability. A comparative analysis with respect to recently successful proposals shows a substantial improvement in the performance/robustness tradeo as well as in the tuning process.

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Section: −Lsmentioning

confidence: 99%

Section: Illustrative Examplesmentioning

confidence: 99%

“…(1) An integrating process with dead-time [3], to show a detailed application of the design procedure.…”

Section: Illustrative Examplesmentioning

confidence: 99%

Section: Illustrative Examplesmentioning

confidence: 99%

Section: Illustrative Examplesmentioning

confidence: 99%

See 3 more Smart Citations

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Garcia

Albertos

2013

Journal of Process Control

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Modified Smith predictor‐based all‐proportional‐derivative control for second‐order delay‐dominated integrating processes

Karan

Dey

2020

Asia-Pacific J Chem Eng

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An all-proportional-derivative (PD) control-based modified Smith predictor design is reported here for second-order delay-dominated integrating processes. The proposed control structure is realized with two PD controllers along with a first-order filter towards achieving the desired closed-loop response. To eliminate the tuning complexity, reported internal model control (IMC) scheme suggests a single tuning parameter λ (i.e. closed-loop time constant) to tune both the PD controllers along with the filter present in the modified Smith predictor designing. The forward path PD controller parameters are obtained as per the IMC tuning guideline suggested for servo tracking, whereas the feedback path PD controller is realized based on Routh stability analysis with a goal towards improved regulatory responses. The firstorder filter present in the feedback path helps to ensure robust closed-loop performance. Considerable performance enhancement is observed during set point tracking by the proposed scheme where no overshoot is observed even with smaller rise time. In addition, smooth and reasonably quick load rejection behaviour is also found during a regulatory response. Superiority of the proposed scheme is also substantiated in comparison with others' reported dead-time compensating techniques in terms of closed-loop performance indices as well as stability margins.

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Design of a novel fractional‐order internal model controller‐based Smith predictor for integrating processes with large dead‐time

Kumar

Aryan

Raja

2021

Asia-Pacific J Chem Eng

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A novel multi-loop control configuration with two controllers is suggested for integrating processes having large dead-time. The inner-loop consists of a Smith predictor having proportional (P)/proportional-derivative (PD) controller for first/second-order integrating processes, respectively. Once the dead-time is compensated by the inner-loop Smith predictor, a fractionalorder internal model controller (FOIMC) is designed in the outer-loop. The P/PD controllers are tuned using direct synthesis methodology. The proposed control architecture has three adjustable parameters (inner and outer closedloop adjustment parameters, fractional-order of the FOIMC low-pass filter).Based on extensive simulations, the tuning ranges for the above-mentioned adjustable parameters are specified. Suitable justification is also provided for the suggested range of tuning parameters. Several benchmark examples of plant models are used to study the set-point following and disturbance elimination capabilities of the proposed control architecture. Quantitative performance measures are also computed for comparing the suggested and previously reported schemes. It is evident that the suggested FOIMC based Smith predictor yields enhanced control performance than some recently reported techniques.

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PID controller tuning for integrating processes

Cited by 107 publications

References 15 publications

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Modified Smith predictor‐based all‐proportional‐derivative control for second‐order delay‐dominated integrating processes

Design of a novel fractional‐order internal model controller‐based Smith predictor for integrating processes with large dead‐time

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