Fuzzy PID control of a stand-alone system based on PEM fuel cell

Rakhtala, Seyed Mehdi; Roudbari, E Shafiee

doi:10.1016/j.ijepes.2015.12.003

Cited by 41 publications

(25 citation statements)

References 20 publications

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“…The integration of a PID with a FLC (e.g., fuzzy-PID) is proven to be an intelligent, nonlinear and robust strategy that improves the performance of conventional PIDs, by readjusting the PID gains in an on-line and real-time manner [23], [42]. The resulting fuzzy-PID controller is, thus, aimed at accounting for time-dependent interactions of the cyber world with the physical world in an intelligent feedback loop, while at the same time, guaranteeing the stability of the CPSs, without causing the loss of control of the physical behaviors.…”

Section: Measured Variablementioning

confidence: 99%

Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions

Wang

Maio

Zio

2018

Nuclear Engineering and Design

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In real-time control of Cyber-Physical Systems (CPSs), physical process variables are monitored and processed by intelligent controllers for keeping the values of safety parameters between given thresholds. Environmental conditions can affect the system dynamics and also the controller function. This paper presents a hybrid fuzzy-PID (Proportional-Integral-Derivative) controller, which learns the optimal PID controller parameters and adapts them according to the environmental parameters and process variables values. The proposed intelligent controller is applied to respond to the changes and transients in the environmental inlet air temperature of the secondary loop of a Lead-Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS), for keeping the secondary average coolant temperature in a range of values between two safety thresholds.

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Section: Measured Variablementioning

confidence: 99%

Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions

Wang

Maio

Zio

2018

Nuclear Engineering and Design

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“…One of the most widely used converters in this field is DC-DC boost converter that is used to regulate the output voltage of systems requiring higher voltage levels. Therefore, this converter is applied in renewable energy sources such as solar energy [3], fuel cell [4] and hybrid vehicles [5]. So, designing an appropriate control scheme that leads to enhance the voltage regulation quality is one of the most important problems in industry.…”

Section: Introductionmentioning

confidence: 99%

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

2019

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In this paper, a new nonlinear observer is presented for DC-DC boost converter using immersion and invariance (I&I) technique. The proposed nonlinear observer is easy to implement, simple to tune and realizes global exponential convergence of the estimation error to zero. It is assumed that the input voltage and output load of converter are unavailable and the I&I observer is designed to estimate unavailable parameters using output voltage and inductor current information. Considering optimal performance of observer, an improved particle swarm optimization algorithm is employed to determine observer gains. The search space of parameters in the proposed optimization algorithm is modified and according to this modification, the weak parameters is eliminated and the new parameters are defined for optimization process instead of them. In order to validate the effectiveness of the proposed observer, the practical test is implemented and the experimental results confirm the efficiency of the proposed I&I observer.

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“…Pothiya et al [20] have used optimal fuzzy logic PID controller for solving load frequency problem in power system. Rakhtala [21] have designed a fuzzy PID controller for polymer exchange membrane fuel cell.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller

Fagna¹

2017

CSSP

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In this paper, a type 1 Fuzzy controller is composed for solving change in load frequency problem of single area thermal power system. The performances of type 1 fuzzy controller have been demonstrated for comparing the performances of other published paper PID controller such as Ziegler Nichols method. A single area non-reheat thermal power plant with Fuzzy controller is simulated in MATLAB/SIMULINK platform due to a step change in load demand. The proposed fuzzy controller gives better dynamic responses of the power system in terms of Settling time, Peak Overshoot and Peak Undershoot.

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Fuzzy PID control of a stand-alone system based on PEM fuel cell

Cited by 41 publications

References 20 publications

Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions

Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions

An immersion and invariance based input voltage and resistive load observer for DC–DC boost converter

Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller

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