Set‐Point Regulator with Blending Mechanism

Yeşil, Engin; Güzelkaya, Müjde; Eksin, İbrahim; Tekin, Özgür Aydın

doi:10.1080/10739140701749765

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…when the primary controller is taken as PI [14]. For a fair comparison, the proposed FA-SPR structure with the standard 1-DOF, 2-DOF and SPR-BM control structures, five different performance measures are considered: The first three of these performance measures are selected as the rise time (T r ), the settling time (T s ) and the maximum overshoot (M p ) and the next two performance measures are considered to be Integral Time Absolute Error (ITAE) andTotal Variations (TV) which are defined as follows:…”

Section: Simulation Resultsmentioning

confidence: 99%

“…[13] setpoint weighting functions, which will allow good tracking performance are introduced and the PI feedback controller is tuned to give optimal load regulation. Yesil proposed a 2-DOF control structure in which the advantages of 1-DOF and 2-DOF control structures are both exploited [14]. This new structure has been named as Set-Point Regulator with Blending Mechanism (SPR-BM).…”

Section: Introductionmentioning

confidence: 99%

“…2, where R F (s) is the filtered reference signal, R(s) is the set-point, Y F (s) is the output of the filter F(s) [14]. The blending ratio between the signals R(s) and Y F (s) is determined by the constant "b".…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A fuzzy adaptive set-point regulator design

Yeşil

Güzelkaya

Eksin

2012

2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)

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In this paper, an online tuned set-point regulator with a fuzzy mechanism is proposed. This proposed control structure exploits the advantages of one degree of freedom (1-DOF) and two degree of freedom (2-DOF) control forms. The blending mechanism of the set point regulator mix the filtered and pure reference signals so that the overall performance of the system is ameliorated with respect to load disturbance rejection and set-point following. In the proposed control structure, the PI controller is designed by using Internal Model Control (IMC) methodology. As a result of this chose, the proposed blending mechanism turns out to be a blending constant within the range of zero and one. Consequently, this blending constant can easily be tuned through a fuzzy inference mechanism, where the output signal is naturally the blending constant. First, the effectiveness of the proposed fuzzy adaptive set-point regulator is demonstrated and compared via simulations and then an experimental setup is design to show the applicability of the proposed control approach. The simulation and the experimental results show the benefit of the proposed method over the conventional counterparts.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A fuzzy adaptive set-point regulator design

Yeşil

Güzelkaya

Eksin

2012

2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)

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“…The maximum values of amplitude ratios provide a useful measure of robustness and serve as design criteria for the control system (Arputha Vijaya Selvi et al, 2007). The maximum sensitivity M S max ω |S(j ω)| is the inverse of the shortest distance from Nyquist plot to the critical point (Arputha Vijaya Selvi et al, 2007;Seborg et al, 2004;Yesil, Zuzelkaya, Eksin, & Tekin, 2008). The robustness of the closed-loop systems increases, as M S decreases (Liu & Gao, 2012;Rivera et al, 1986).…”

Section: Robustness Analysismentioning

confidence: 96%

Design of internal model control-proportional integral derivative controller with improved filter for disturbance rejection

Rao

Subramanyam²,

Satyaprasad

2014

Systems Science & Control Engineering

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The internal model control (IMC) proportional integral derivative (PID) controller tuning rules provide an excellent tracking of set-point, but sluggish disturbance rejection, as the conventional IMC filter introduces slow process pole. Disturbance rejection is significant than set-point tracking in many industrial applications. This paper proposes the design of IMC-PID controller, cascaded with lead-lag filter, with an improved IMC filter to provide effective disturbance rejection and robust operation of the first-order processes (FOPs). The simulation study was conducted to show the effectiveness of the proposed method on various structures of the FOPs, calculating the controller parameters, maintaining similar robustness in terms of maximum sensitivity M S . Perturbations were incorporated in the parameters of the plant model simultaneously, for the robustness analysis of the controller. The closed-loop performance was evaluated with the integral error criteria, namely, integral absolute error, integral square error, and integral time absolute error. The proposed IMC filter provided good disturbance rejection. The results of recently published design methods were compared with that obtained from the proposed method, validating the usefulness of the proposed method.

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