Fractional IMC-PID-filter controllers design for non integer order systems

Bettayeb, Maâmar; Mansouri, Rachid

doi:10.1016/j.jprocont.2014.01.014

Cited by 120 publications

(97 citation statements)

References 20 publications

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“…a negative disturbance of magnitude 0.4 is added. It is observed that the IMC controller designed using the proposed approach performs better than the other fractional IMC-PID controllers available in the literature [41], [42] and [43]. Further, from Fig.4, it is observed that when the operating regime changes from 90% to 93% of the rated speed even then the proposed controller delivers the most optimum performance.…”

Section: Performance Analysismentioning

confidence: 82%

“…Thus, the proposed method formulates an efficient fractional order IMC based controller for the fractional order model of the gas turbine plant that can perform better than the various fractional order IMC controllers for fractional order systems available in the literature [41], [42] and [43]. Hence, the objective of formulating a fractional order IMC controller which can give a better response and is more robust than the existing controllers, is fulfilled successfully.…”

Section: Performance Analysismentioning

confidence: 99%

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Fractional IMC design for fractional order gas turbine model

Sondhi

Hote

2014

2014 9th International Conference on Industrial and Information Systems (ICIIS)

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The gas turbine is an extremely important component for the automotive and aviation industry. It works by converting the energy obtained by fuel combustion into some form of mechanical power. Therefore, controlling the input fuel going to the turbine is an important aspect of the gas turbine system. Therefore, an efficient controller design is required which can control the rate of the fuel being fed to the turbine. It is observed that the Internal Model Control (IMC) based controller design scheme is quite popular due to its robust performance and mathematical simplicity. This type of controllers are very successfully being used in integer order systems. However, it is seen that the system behavior represented by the fractional order mathematical model is more close to the real life dynamics, especially for large complicated systems. Therefore, in this paper a fractional order model of the gas turbine plant is considered and a fractional order IMC controller is designed. It is observed that the controller designed using the proposed technique gives better results than the other fractional IMC controllers available in the literature. The performance of the proposed controller is compared to the existing fractional order IMC techniques using the integral error criterion. Index Terms-Internal Model Control, Fractional OrderSystems, Gas Turbine.

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Section: Performance Analysismentioning

confidence: 82%

Section: Performance Analysismentioning

confidence: 99%

Fractional IMC design for fractional order gas turbine model

Sondhi

Hote

2014

2014 9th International Conference on Industrial and Information Systems (ICIIS)

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“…Taking a step further, the concept of Fractional Calculus is also being introduced in model reduction part, yielding a fractional order first order plus dead time (FO-FOPDT) system, thus by minimizing the modeling error.The main tuning parameters to tune in IMC are the filter time constants. But in the present work, the order of filter is considered as fraction entity, which increases the flexibility of the filter, thus affecting the performance of controlled system in a positive manner [17,18]. Thus in overall modeling and control of the plant, closed loop control performance gets enhanced at two levels, first due to modeling and other includes the control design part.…”

Section: Introductionmentioning

confidence: 92%

IMC Based Fractional Order Controller for Three Interacting Tank Process

2017

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“…In previous work , we developed a new structure of fractional controllers to control several integer or fractional order systems with and without time delay. The proposed controller is partitioned into two transfer functions: a fractional order PID (FO‐PID)‐controller if the system to be controlled is fractional or an usual integer PID (IO‐PID)‐controller if the system is integer one, cascaded with a fractional integrator if the system is time‐delay free or a simple fractional filter if the system has delay.…”

Section: Introductionmentioning

confidence: 99%

Smith Predictor Based Fractional‐Order‐Filter PID Controllers Design for Long Time Delay Systems

Bettayeb

Mansouri

Al‐Saggaf

et al. 2016

Asian Journal of Control

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In this paper, an original model‐based analytical method is developed to design a fractional order controller combined with a Smith predictor and a modified Smith predictor that yield control systems which are robust to changes in the process parameters. This method can be applied for integer order systems and for fractional order ones. Based on the Bode's ideal transfer function, the fractional order controllers are designed via the internal model control principle. The simulation results demonstrate the successful performance of the proposed method for controlling integer as well as fractional order linear stable systems with long time delay.

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Fractional IMC-PID-filter controllers design for non integer order systems

Cited by 120 publications

References 20 publications

Fractional IMC design for fractional order gas turbine model

Fractional IMC design for fractional order gas turbine model

IMC Based Fractional Order Controller for Three Interacting Tank Process

Smith Predictor Based Fractional‐Order‐Filter PID Controllers Design for Long Time Delay Systems

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