A New Method for PID Tuning Including Plants Without Ultimate Frequency

Bazanella, Alexandre Sanfelice; Pereira, Luís Fernando Alves; Parraga, Adriane

doi:10.1109/tcst.2016.2557723

Cited by 50 publications

(42 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, it is an integral process and does not posses the ultimate point normally. So it is interesting to test the EFO technique [34] for its credibility. The pressure SISO loop is not an integral process and hence posses an ultimate point without inserting the integrator in the loop.…”

Section: Results Analysismentioning

confidence: 99%

“…Due to these features, PID controllers are favorite choice for industries [38 -44]. The standard forms of PID/PI controller are given by the following equations: Proportional -Integral -Derivative (PID) Controller [34]. The EFO method as proposed in [34], discusses the methodology of determining the ultimate frequency and ultimate gain of an integral process.…”

Section: Controller Designmentioning

confidence: 99%

“…al. in [34]. The proposed phase margin is 60° and the controller's contribution in the phase is considered -10°.…”

Section: Controller Designmentioning

confidence: 99%

“…A brief of the EFO methodology is given below: 1) Consider a system with transfer function G(s), (where G(s) is an integral process). (20) Though, the method is purely proposed for the systems without ultimate point, but still it is claimed that the proposed technique [34] is also suitable for systems with ultimate point with reasonable results. The figure 3 depicts the block diagram of relay feedback experiment using an FOI to determine the ultimate point.…”

Section: Controller Designmentioning

confidence: 99%

“…G11(s) and G22(s)are the headbox pressure loop and headbox level loop and are used as P_Headbox and L_Headbox in the result figures as shown in section 5. Following the same methodology of determining the ultimate point as discussed in [34], [45] …”

Section: Controller Designmentioning

confidence: 99%

See 4 more Smart Citations

Stability analysis of paper machine headbox using a new PI(D) tuning technique

Saini¹,

Kumar²

2018

IJET

View full text Add to dashboard Cite

Paper, today, has made an important place in human's life. Being an important commodity, paper has different qualities throughout the globe. As the technology is advancing, paper is being used for numerous applications and need of good quality paper is increasing daily. To have papers of desirable quality, paper machines with latest technology are developed. However, the quality of paper principally depends on the prime element of paper machine i.e. Headbox. Headbox is a highly non-linear Multi-input Multi-output (MIMO) component of paper machine and requires a precise control of its major parameters to get good quality papers which eventually responsible for sustained economy of pulp and paper industry. In past few decades, headbox has been a key element for research. Researchers have developed different control algorithms for headbox. This paper presents stability analysis of paper machine headbox using a new technique of Proportional -Integral -Derivative (PID) controller design namely Extended Forced Oscillation method (EFO). Also, the paper presents a comparative analysis of EFO method of PID tuning with the conventional Ziegler -Nichols(ZN) tuning technique based on transient characteristics and performance indices of headbox.

show abstract

Section: Results Analysismentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

“…al. in [34]. The proposed phase margin is 60° and the controller's contribution in the phase is considered -10°.…”

Section: Controller Designmentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

See 3 more Smart Citations

Stability analysis of paper machine headbox using a new PI(D) tuning technique

Saini¹,

Kumar²

2018

IJET

View full text Add to dashboard Cite

show abstract

Comprehensive Optimization of PID Controller Parameters for DC Motor Speed Management Using a Modified Jellyfish Search Algorithm

Güven,

Mengi,

Elseify

et al. 2024

Optim Control Appl Methods

View full text Add to dashboard Cite

The proportional integral derivative (PID) controller plays a crucial role in various industrial applications. However, conventional methods often fail to provide optimal parameter values. Therefore, this study proposes a novel version of the jellyfish search (JS) algorithm, the modified jellyfish search (mJS) algorithm, for optimally tuning PID controllers to regulate the speed of a direct current (DC) motor. The original JS algorithm is known for its nature‐inspired approach; however, it has limitations in terms of exploitation power. To address these issues, the proposed mJS incorporates quasi‐dynamic opposed‐based learning and a Weibull probability distribution. The objective function minimizes the integral of the time‐weighted absolute error (ITAE). The effectiveness of mJS was validated by solving the 23rd classical benchmark function, followed by a comparative analysis with contemporary optimization algorithms using stringent statistical criteria. Then mJS is then applied to optimize the PID parameters of three different DC motor models. Results show that the mJS outperforms the standard JS, gray wolf optimization (GWO), JAYA, and golden jackal optimization (GJO) for various performance indicators. Specifically, the best ITAE values were 3.274e6 for DC motor 1 using the JS algorithm, 0.002737 for DC motor 2 using the GJO algorithm, and 0.02785 for DC motor 3 using the mJS algorithm. Additionally, the mJS and JS algorithms reduced the settling time to 0.005 s for DC motor 1, whereas the best settling time of 0.325 s for DC motor 2 was achieved by the mJS algorithm, and a settling time of 1.19 s was recorded for DC motor 3 using both the mJS and JS algorithms. These findings underscore the practical importance of the developed optimizer in engineering applications and its significant contribution to the literature.

show abstract

A geometric description of the set of stabilizing PID controllers

Zhou

et al. 2021

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This article developed a new method to described the set of stabilizing PID control. The method is based on D-parameterization with natural description of the set. It was found that the stability crossing surface is a ruled surface that is completely determined by a curve known as discriminant. The discriminant is divided into sectors at the cusps. Corresponding to the sectors, the stability crossing surface is divided into positive and negative patches. A systematic study is conducted to identify the regions with a fixed number of right half-plane characteristic roots. The crossing directions of characteristic roots for positive patches and negative patches are also studied. As a result, a systematic method is developed to identify the regions of PID parameter such that the system is stabilized.

show abstract

A New Method for PID Tuning Including Plants Without Ultimate Frequency

Cited by 50 publications

References 5 publications

Stability analysis of paper machine headbox using a new PI(D) tuning technique

Stability analysis of paper machine headbox using a new PI(D) tuning technique

Comprehensive Optimization of PID Controller Parameters for DC Motor Speed Management Using a Modified Jellyfish Search Algorithm

A geometric description of the set of stabilizing PID controllers

Contact Info

Product

Resources

About