Performance assessment and retuning of PID controllers for integral processes

Veronesi, Massimiliano; Visioli, Antonio

doi:10.1016/j.jprocont.2009.12.007

Cited by 55 publications

(33 citation statements)

References 18 publications

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“…The approach devised for self-regulating processes can be also exploited for integral (non self-regulating) processes by applying appropriate modifications [28]. The process can be modeled by means of the following transfer function:…”

Section: Modelingmentioning

confidence: 99%

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Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Veronesi¹,

Visioli

2015

Processes

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Abstract:Performance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals). Simulation and experimental results show that the use of integrals of predefined signals can be effectively employed for the estimation of the process parameters and, therefore, for the comparison of the current controller with a selected benchmark.

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Section: Modelingmentioning

confidence: 99%

“…By considering F (s), the integrated absolute error when a step signal of amplitude A s is applied to the set-point can be calculated as [28]:…”

Section: Performance Assessment and Retuningmentioning

confidence: 99%

Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Veronesi¹,

Visioli

2015

Processes

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“…The sampling rate to collect process data must be large enough so that significant process 13 information is not lost. Because the frequency responses of data within (0, To calculate the Fourier transforms of process data, y(t) and u(t) are decomposed into …”

Section: Process Data and Their Fourier Transformmentioning

confidence: 99%

A model-free direct synthesis method for PI/PID controller design based on disturbance rejection

Jeng

2015

Chemometrics and Intelligent Laboratory Systems

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“…Identification is based on comparing disturbance responses of two controllers with different parameter settings, which does not require any explicit external perturbation signal. Veronesi and Visioli [33] also published a twostep approach, where the idea was to assess and possibly retune an existing PI controller.…”

Section: Introductionmentioning

confidence: 99%

A unified approach for proportional-integral-derivative controller design for time delay processes

Shamsuzzoha

2014

Korean J. Chem. Eng.

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An analytical design method for PI/PID controller tuning is proposed for several types of processes with time delay. A single tuning formula gives enhanced disturbance rejection performance. The design method is based on the IMC approach, which has a single tuning parameter to adjust the performance and robustness of the controller. A simple tuning formula gives consistently better performance as compared to several well-known methods at the same degree of robustness for stable and integrating process. The performance of the unstable process has been compared with other recently published methods which also show significant improvement in the proposed method. Furthermore, the robustness of the controller is investigated by inserting a perturbation uncertainty in all parameters simultaneously, again showing comparable results with other methods. An analysis has been performed for the uncertainty margin in the different process parameters for the robust controller design. It gives the guidelines of the M s setting for the PI controller design based on the process parameters uncertainty. For the selection of the closed-loop time constant, (τ c ), a guideline is provided over a broad range of θ/τ ratios on the basis of the peak of maximum uncertainty (M s ). A comparison of the IAE has been conducted for the wide range of θ/τ ratio for the first order time delay process. The proposed method shows minimum IAE in compared to SIMC, while Lee et al. shows poor disturbance rejection in the lag dominant process. In the simulation study, the controllers were tuned to have the same degree of robustness by measuring the M s , to obtain a reasonable comparison.

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Performance assessment and retuning of PID controllers for integral processes

Cited by 55 publications

References 18 publications

Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

A model-free direct synthesis method for PI/PID controller design based on disturbance rejection

A unified approach for proportional-integral-derivative controller design for time delay processes

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