IMC-PID-fractional-order-filter controllers design for integer order systems

Bettayeb, Maâmar; Mansouri, Rachid

doi:10.1016/j.isatra.2014.05.007

Cited by 155 publications

(69 citation statements)

References 19 publications

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“…Moreover, very few of the paper in this domain deal with experimental results, and these are presented for single-input-single-output processes (Dazi et al, 2010). A similar tuning procedure as indicated in this paper may be found in (Maâmar and Rachid (2014); however, in terms of the tuning procedure, this paper considers time delay processes that may be solely described by firstorder transfer functions. Also, two numerical examples, for single-input-single-output processes are included, but not experimental results.…”

Section: Introductionmentioning

confidence: 99%

“…The FO-IMC design method in Tavakoli-Kakhki and Haeri (2011) uses a model reduction technique for approximating a complicated FO system. In Maâmar and Rachid (2014), an integer order (IO) PID cascaded with a fractional filter is used in an IMC structure. In Valerio and Sa da Costa (2006), the Ziegler-Nichols type design rules are used to design the FO-IMC controllers, while in Abadi and Jalali (2012), the parameter tuning is done by using the Taylor series.…”

Section: Introductionmentioning

confidence: 99%

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Tuning algorithms for fractional order internal model controllers for time delay processes

Muresan

Dutta

Dulf

et al. 2015

International Journal of Control

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This paper presents two tuning algorithms for fractional-order internal model control (IMC) controllers for time delay processes. The two tuning algorithms are based on two specific closed-loop control configurations: the IMC control structure and the Smith predictor structure. In the latter, the equivalency between IMC and Smith predictor control structures is used to tune a fractional-order IMC controller as the primary controller of the Smith predictor structure. Fractional-order IMC controllers are designed in both cases in order to enhance the closed-loop performance and robustness of classical integer order IMC controllers. The tuning procedures are exemplified for both single-input-single-output as well as multivariable processes, described by first-order and second-order transfer functions with time delays. Different numerical examples are provided, including a general multivariable time delay process. Integer order IMC controllers are designed in each case, as well as fractional-order IMC controllers. The simulation results show that the proposed fractional-order IMC controller ensures an increased robustness to modelling uncertainties. Experimental results are also provided, for the design of a multivariable fractional-order IMC controller in a Smith predictor structure for a quadruple-tank system

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tuning algorithms for fractional order internal model controllers for time delay processes

Muresan

Dutta

Dulf

et al. 2015

International Journal of Control

View full text Add to dashboard Cite

show abstract

“…The tuning based on IMC method was demonstrated in [30,90,91] . The tuning algorithm was based on computing the equivalent controller of the IMC structure and imposing frequency domain specifications for the resulting open loop system.…”

Section: Methodsmentioning

confidence: 99%

Review of fractional PID controller

Shah

Agashe²

2016

Mechatronics

568

285

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“…To obtain a favorable fractional‐order reference model, the value of γ is selected between 1 < γ < 2 . The selection of B ( s ) gives a desirable property of being robust to process gain variations for the closed‐loop system .…”

Section: Evrft‐based Afopi Controller Design For Fsasmentioning

confidence: 99%

“…Research activities are focused on optimizing FOPI controllers to achieve the desired performance specified in both time‐domain and frequency‐domain . Many efforts have been made to develop parameter tuning methods for the FOPI controller as an extension of classical control theory, including evolutionary algorithm , neural network algorithm , Bode shaping‐based design methods , model reference control method , and fuzzy approach . These tuning techniques require the system model information to update the control parameters, like dynamic linear models and transfer function models .…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fractional Order PI Controller Design for a Flexible Swing arm System Via Enhanced Virtual Reference Feedback Tuning

Xie

Tang

Zheng

et al. 2017

Asian Journal of Control

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Flexible swing arm system (FSAS) is one of the most important components in the LED packaging industry. The trajectory tracking performance of the FSAS will directly affect the efficiency and accuracy of the LED packaging equipment. In order to meet the high precision and high speed requirements, this paper proposes an adaptive fractional order proportional integral (AFOPI) control method based on enhanced virtual reference feedback tuning (EVRFT). In this method, the AFOPI controller is applied to handle the fractional order characteristics of the FSAS. EVRFT is used to tune the AFOPI controller in a real-time way to accommodate the time-varying operating conditions. The proposed method is facilitated with two advantages: 1) only input/output measured data are fully utilized during the recursive tuning process without using model information of the controlled FSAS; 2) an improved adaptive law is incorporated in EVRFT to reduce the computation burden and provide an unbiased estimate for the ideal controller simultaneously. Thus, the conventional VRFT is enhanced both in efficiency and accuracy. The stability of the proposed method is guaranteed by rigorous theoretical analysis. Finally, experimental results are presented to verify the effectiveness of the EVRFT-based AFOPI controller.

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IMC-PID-fractional-order-filter controllers design for integer order systems

Cited by 155 publications

References 19 publications

Tuning algorithms for fractional order internal model controllers for time delay processes

Tuning algorithms for fractional order internal model controllers for time delay processes

Review of fractional PID controller

Adaptive Fractional Order PI Controller Design for a Flexible Swing arm System Via Enhanced Virtual Reference Feedback Tuning

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