Auto-tuning of fractional-order PI controller using particle swarm optimization for thermal device

Maamir, Fouad; Guiatni, Mohamed; Hachemi, H.; Dali, Ali

doi:10.1109/intee.2015.7416804

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…Ref. [11] introduces an auto-tuning algorithm for FOPID controllers, based on particle swarm optimization techniques, and its performance is demonstrated through testing on a thermoelectric module. In a similar vein, ref.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Montesinos-García,

Barahona-Avalos,

Linares-Flores

et al. 2023

Fractal Fract

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This paper presents a novel control strategy based on an uncertainty estimator for a class of fractional-order nonlinear systems characterized by a polynomial input. The proposed strategy allows the system to be controlled without resorting to transformations or approximate linearization. This is accomplished by using a fractional-order sliding-mode observer, whose task is to estimate certain portions of the state of the nonlinear system of a non-integer order, thus allowing the control law to counteract these elements to steer the system towards a desired behavior. To validate the performance of the proposed strategy, it was implemented, both in simulation and experimentally, to regulate the temperature of the cold side of a thermoelectric module fed by a DC/DC electronic power converter of the step-down type, a system that is known to have a nonlinear polynomial-type control input.

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Section: Introductionmentioning

confidence: 99%

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Montesinos-García,

Barahona-Avalos,

Linares-Flores

et al. 2023

Fractal Fract

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“…Fractional calculus is developed by extending the calculus theory from integers to nonintegers (i.e., fractions and irrational and complex numbers). The applications of fractional-order calculus have flourished over the past two decades, and systems have been found to exhibit non-integer-order dynamics, which has led to new approaches to circuit and controller design [19][20][21][22]. For the inductors and capacitors used in power converters, relevant studies have proven that they exhibit fractional-order characteristics, so the actual converter system should be of fractional order [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Grid-Connected Inverter Based on a Resonance-Free Fractional-Order LCL Filter

Wang

Cai

2022

Fractal Fract

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The integer-order LCL (IOLCL) filter has excellent high-frequency harmonic attenuation capability but suffers from resonance, which causes system instability in grid-connected inverter applications. This paper studied a class of resonance-free fractional-order LCL (FOLCL) filters and control problems of single-phase FOLCL-type grid-connected inverters (FOGCI). The Caputo fractional calculus operator was used to describe the fractional-order inductor and capacitor. Compared with the conventional IOLCL filter, by reasonably selecting the orders of the inductor and capacitor, the resonance peak of the FOLCL filter could be effectively avoided. In this way, the FOGCI could operate stably without passive or active dampers, which simplified the design of control system. Furthermore, compared with a single-phase integer-order grid-connected inverter (IOGCI) controlled by an integer-order PI (IOPI) controller, the FOGCI, combined with a fractional-order PI (FOPI) controller, could achieve greater gain and phase margins, which improved the system performance. The correctness of the theoretical analyses was validated through both simulation and hardware-in-the-loop experiments.

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“…Tuning is usually performed in the frequency domain, but time domain approaches were also considered [19,20]. Autotuning methods for fractional order PID controllers were also proposed [21][22][23]. Some rather recent review papers on fractional order controllers can be found in [24][25][26] and provide an insight into fractional order control of different types.…”

Section: Introductionmentioning

confidence: 99%

Event-Based Implementation of Fractional Order IMC Controllers for Simple FOPDT Processes

2020

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Fractional order calculus has been used to generalize various types of controllers, including internal model controllers (IMC). The focus of this manuscript is towards fractional order IMCs for first order plus dead-time (FOPDT) processes, including delay and lag dominant ones. The design is novel at it is based on a new approximation approach, the non-rational transfer function method. This allows for a more accurate approximation of the process dead-time and ensures an improved closed loop response. The main problem with fractional order controllers is concerned with their implementation as higher order transfer functions. In cases where central processing unit CPU, bandwidth allocation, and energy usage are limited, resources need to be efficiently managed. This can be achieved using an event-based implementation. The novelty of this paper resides in such an event-based algorithm for fractional order IMC (FO-IMC) controllers. Numerical results are provided for lag and delay dominant FOPDT processes. For comparison purposes, an integer order PI controller, tuned according to the same performance specifications as the FO-IMC, is also implemented as an event-based control strategy. The numerical results show that the proposed event-based implementation for the FO-IMC controller is suitable and provides for a smaller computational effort, thus being more suitable in various industrial applications.

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Auto-tuning of fractional-order PI controller using particle swarm optimization for thermal device

Cited by 6 publications

References 20 publications

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

Grid-Connected Inverter Based on a Resonance-Free Fractional-Order LCL Filter

Event-Based Implementation of Fractional Order IMC Controllers for Simple FOPDT Processes

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