Robust Tuning for 2DoF Fractional-Order PI Controllers Based on Model Reference Approach

Campos, Daniel; Arrieta, O.; Vilanova, Ramón; Rojas, José David

doi:10.1007/978-3-030-96293-7_58

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…In practice, many control systems have a time delay within the closed of the system, which affects the stability of the system. The time delay for the heat flow system given in (15) was represented by e -Ls . where L is the time delay.…”

Section: Discussionmentioning

confidence: 99%

Design of a Memristor-Based 2-DOF PI Controller and Testing of Its Temperature Profile Tracking in a Heat Flow System

Orman

2022

IEEE Access

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In this study, a memristor-based 2-DOF PI controller (2-DOF Mem-PI) was designed for the temperature profile tracking control of a heat flow experiment (HFE) setup. A simulation study is presented in which the performance of the designed controller is compared with a standard 2-DOF PI controller. Compared to 1-DOF control structures, 2-DOF controllers that include an extra adjustable parameter perform better in terms of response to disturbances and improving the transient response of the system. In addition, memristor-based controllers (Mem-PI and 2-DOF Mem-PI) and standard controllers (PI and 2-DOF PI) were compared and it was determined that because of the variable memristance value, the control structures containing memristors showed an adaptive feature. The simulation results demonstrated the success of the proposed controller in temperature profile reference tracking and showed the memristor to be applicable in nonlinear control structures.

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Section: Discussionmentioning

confidence: 99%

Design of a Memristor-Based 2-DOF PI Controller and Testing of Its Temperature Profile Tracking in a Heat Flow System

Orman

2022

IEEE Access

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“…It has been demonstrated that the fractional proportional-integral-derivative (FOPID) controllers provide more flexibility and accuracy in the adjustment of the feedback system. This can be used to guarantee more stringent specifications related to relative stability-phase, gain margins, and maximum sensitivity-and performance-set-point tracking and load-disturbance rejection-in comparison to those achievable with the classical PID controller (see, for instance [3,5,6,[17][18][19]).…”

Section: Introductionmentioning

confidence: 99%

FOPI/FOPID Tuning Rule Based on a Fractional Order Model for the Process

et al. 2022

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This paper deals with the design of a control system based on fractional order models and fractional order proportional-integral-derivative (FOPID) controllers and fractional-order proportional-integral (FOPI) controllers. The controller design takes into account the trade-off between robustness and performance as well as the trade-off between the load disturbance rejection and set-point tracking tasks. The fractional order process model is able to represent an extensive range of dynamics, including over-damped and oscillatory behaviors and this simplifies the process modelling. The tuning of the FOPID and FOPI controllers is achieved by using an optimization, as a first step, and in a second step, several fitting functions were used to capture the behavior of the optimal parameters of the controllers. In this way, a new set of tuning rules called FOMCoRoT (Fractional Order Model and Controllers Robust Tuning) is obtained for both FOPID and FOPI controllers. Simulation examples show the effectiveness of the proposed control strategy based on fractional calculus.

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Robust Tuning for 2DoF Fractional-Order PI Controllers Based on Model Reference Approach

Cited by 2 publications

References 15 publications

Design of a Memristor-Based 2-DOF PI Controller and Testing of Its Temperature Profile Tracking in a Heat Flow System

Design of a Memristor-Based 2-DOF PI Controller and Testing of Its Temperature Profile Tracking in a Heat Flow System

FOPI/FOPID Tuning Rule Based on a Fractional Order Model for the Process

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