Real-time application of IMC-PID-FO multi-loop controllers on the coupled tanks process

Chekari, Tassadit; Mansouri, Rachid; Bettayeb, Maâmar

doi:10.1177/0959651820983062

Cited by 10 publications

(5 citation statements)

References 31 publications

(43 reference statements)

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“…[9][10][11] Moreover, numerous integer-order control strategies are also adapted to their fractional counterparts. [12][13][14][15][16][17] The transfer functions of closed-loop systems that exhibit the desired system dynamics are often called reference models. These models profit from meeting the 1 requirements without causing difficulties in their control system implementations, and therefore, there are many control techniques in which the direct synthesis method is employed.…”

Section: Introductionmentioning

confidence: 99%

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Bi-fractional-order reference model parameters-based control system design

Kececi

Yumuk

Güzelkaya

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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It is known that analytical manipulation of the time-domain representation of fractional order transfer function is, hitherto, a challenging task. In this study, a controller design methodology based on the direct synthesis design method is proposed using bi-fractional order transfer function as a reference model and certain time-domain criteria. First, an analysis examines the effects of bi-fractional order transfer function parameters, that is, commensurate fractional order, damping ratio and natural frequency, on the system time-domain criteria. This examination has allowed us to set up a relation between damping ratio and commensurate fractional order. Next, a polynomial function fitting is established in order to express the damping ratio in terms of this commensurate order. Bi-fractional-order reference model is regenerated using the above-mentioned relationship. Furthermore, a control design algorithm that utilizes the newly derived bi-fractional order reference model is developed by considering control signal limitations. The proposed fractional order control design method is then compared with globally optimized fractional order proportional-integral-derivative (PID) controllers under the same circumstances and performance index. Finally, the implementation of the proposed controller design algorithm is done on a real-time active suspension system. The results are very satisfactory and incoherent with the simulations.

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Section: Introductionmentioning

confidence: 99%

“…9–11 Moreover, numerous integer-order control strategies are also adapted to their fractional counterparts. 12–17…”

Section: Introductionmentioning

confidence: 99%

Bi-fractional-order reference model parameters-based control system design

Kececi

Yumuk

Güzelkaya

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…Liquid-level processes which are employed in waste water management and petrochemistry are highly considered in control engineering area. There are numerous both advanced and classical control technologies applied on liquid-level processes such as fuzzy control, [16][17][18] sliding mode control, 19 fractional control, 20,21 PID control, 22,23 internal model control, 24 and robust control. 25 In this study, a reduced inverse IOC design methodology for single fractional-order pole model is proposed, and applied to a two-tank liquid-level process.…”

Section: Introductionmentioning

confidence: 99%

Reduced inverse integer-order controller design for a class of fractional-order model: Case study on two-tank liquid-level process

Yumuk

Güzelkaya

Eksin

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this study, a reduced inverse integer-order controller design methodology for single fractional-order pole model is proposed. First, the higher integer-order equivalent of this model is found using the Oustaloup approximation to fractional operator. Then, the poles and zeros of the higher integer-order model are determined in terms of fractional-order system model parameters employing characteristic equation format and root-locus idea. The order of the higher integer-order model is reduced using dominant pole–zero couples. The proximity of the pole–zero couples to each other as well as their proximity to the origin is key dominance requirement for order reduction. The controller is obtained inverting the reduced order integer system model in terms of fractional-order system model parameters. The proposed controller is compared with integer and fractional proportional–integral–derivative (PID) controllers using the experiments carried out on two-tank liquid-level process. The real-time experiment outcomes demonstrate that the proposed controller has superior performance over integer and fractional proportional–integral–derivative controllers.

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“…He et al 12 proposed an additional closed-loop feedback control strategy based on TDF-IMC for starting current control of high-speed brushless DC motor, which was proved by simulation to have good current tracking performance. Chekari et al 13 designed a TDF internal mode proportional–integral–derivative (PID) multi-loop controller for the coupled tank model and verified its tracking and disturbance rejection through simulation. Ding et al 14 proposed a decoupled TDF-IMC controller to be applied to the clutch dual-input dual-output coupling system and verified the robustness and immunity of the control method.…”

Section: Introductionmentioning

confidence: 99%

Two-degree-of-freedom internal model control of particle swarm optimization for flow temperature control system in phase change material packaging technology

Zhang

Duan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this article, a phase change material packaging process system was designed. In view of the hysteresis of the system flow temperature control, a two-degree-of-freedom internal model PID (PSO-TDF-IMC-PID) controller based on particle swarm optimization was determined based on the flow regulating valve model, so as to control the phase change material outlet temperature to keep constant with establishing the system heat transfer model. Compared with other control algorithms, the PSO-TDF-IMC-PID algorithm is proved to be fast, anti-interference and robust. The traditional integral of time multiplied by the absolute value of error criterion performance index is improved, and the improved integral of time multiplied by the absolute value of error criterion is applied to PSO-TDF-IMC-PID algorithm for simulation comparison. Simulation results show that the improved integral of time multiplied by the absolute value of error criterion can effectively eliminate overshoot. The overshoot is reduced from the original 8% to almost 0. To reduce system energy consumption and improve economy, energy consumption constraint conditions are added into the variable trial-error algorithm to calculate economic flow rate and inlet temperature of heat conduction oil. The results show that the dynamic parameters of the system accord with the constraint condition of energy consumption.

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Real-time application of IMC-PID-FO multi-loop controllers on the coupled tanks process

Cited by 10 publications

References 31 publications

Bi-fractional-order reference model parameters-based control system design

Bi-fractional-order reference model parameters-based control system design

Reduced inverse integer-order controller design for a class of fractional-order model: Case study on two-tank liquid-level process

Two-degree-of-freedom internal model control of particle swarm optimization for flow temperature control system in phase change material packaging technology

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