Design of fractional order PID controller for boost converter based on Multi-Objective optimization

Tehrani, Kambiz; Amirahmadi, Ahmadreza; Rafiei, S.M.R.; Griva, G.; Barrandon, Ludovic; Hamzaoui, Mohammed; Rasoanarivo, Ignace; Sargos, F.M.

doi:10.1109/epepemc.2010.5606514

Cited by 46 publications

(27 citation statements)

References 17 publications

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“…In this figure, performance of designed circuit in order to switch different paralleled devices in a specific sequence is illustrated. 8 …”

Section: B Proposed Phase Shifting Scheme For Sequential Switchingmentioning

confidence: 97%

“…Some studies have been done to design different controller concepts and simulate the converters based on the approximate dynamic model which is acquired from linearization of state-space model as the common approach [7,8]. Because of considering some assumptions and simplifications to derive small signal model, it cannot adequately describe the system real behavior.…”

Section: Introductionmentioning

confidence: 99%

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A new approach to control the modified LinVerter for high frequency applications

Farhang

Mátéfi‐Tempfli

2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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In this paper not only a modified multi-device LinVerter is proposed but also a novel approach to control this topology is introduced. This topology is able to improve the conventional LinVerter performance using parallel power devices and designing a sequential switching scheme. In addition, from control perspective, a novel control approach based on bidirectional interface between LTspice and MATLAB is created. In this case, the circuit is modeled in LTspice environment and a Chaos Optimization Algorithm (COA) is coded in MATLAB in order to find out the optimal solution in control process. In fact, this new approach combines the advantages of LTspice for simulation of different circuit configurations using actual component obtained from manufactures' models with advanced intelligent techniques capabilities from COA in MATLAB. First, the performance of proposed multi-device LinVerter along with new control technique is evaluated in different conditions, and then effectiveness and robustness of the whole suggested designs are presented.

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“…In this figure, performance of designed circuit in order to switch different paralleled devices in a specific sequence is illustrated. 8 …”

Section: B Proposed Phase Shifting Scheme For Sequential Switchingmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

A new approach to control the modified LinVerter for high frequency applications

Farhang

Mátéfi‐Tempfli

2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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“…An optimized Fuzzy-PID (Proportional Integral and Derivative) based controller has been presented in [19] for frequency stabilization of two area system. Fractional order (FO) PID controller has been proposed for the inverter operation in [20] to remove the amplitude and phase shift error and to reduce the total harmonic distortion (THD) of the current and in [21] for boost converter operation with multi objective optimization. A repetitive controller takes the reference signal and the disturbance parameters repetitively either explicitly or implicitly to reduce the control errors [22].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller

Angalaeswari

Kamaraj

2020

Energies

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A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance.

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“…Such a distribution, alternating zeros and poles at wellchosen intervals, allows building a transfer function with a gain nearly linear on the logarithm of the frequency and a phase nearly constant being possible for the values of the slope of the gain and of the phase for any value of ν [12][13][14]. The functions we are dealing with in this section provide integer-order frequency-domain approximation of transfer functions involving fractional powers of s. For the frequency-domain transfer function C(s) which is given by:…”

Section: Crone Approximation Methodsmentioning

confidence: 99%

PID Control Theory

Tehrani¹,

Mpanda²

2012

Introduction to PID Controllers - Theory, Tuning and Application to Frontier Areas

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Design of fractional order PID controller for boost converter based on Multi-Objective optimization

Cited by 46 publications

References 17 publications

A new approach to control the modified LinVerter for high frequency applications

A new approach to control the modified LinVerter for high frequency applications

Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller

PID Control Theory

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